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M11Capability Engineby Patrick Moser-Brillowski
Curated AI capabilities

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Useful AI skills from strong open sources, cleaned up for discovery, task fit and direct use.

All skills

◎265k ★GitHub

Multi-Agent Orchestration

Coordinates multi-agent work with clear owners, work items, evidence, and merge gates.

Agents · Orchestration→
◎265k ★GitHub

AI Context Window Audit

Audits Claude Code context overhead and recommends ways to reduce unnecessary loaded content.

Agents · Context→
◎265k ★GitHub

AI Agent Architecture Audit

Diagnoses agent-system failures across prompts, memory, tools, wrappers, and output delivery.

Agents · Agent Architecture→
≡265k ★GitHub

AI Skill Discovery

Searches local and external skill sources for existing matches before a new skill is created.

Knowledge Work · Skill Discovery→
↗51k ★GitHub

Lead Magnet Strategy

Plans lead magnets around audience needs, buyer stage, capture approach, distribution, and measurement.

Marketing · Lead Generation→
↗27k ★GitHub

Ideal Customer Profile

Turn existing customer evidence into a target-customer profile and segment criteria. Use customer-research-synthesis to collect evidence or customer-feedback-analysis to analyze a feedback dataset.

Marketing · Audience Definition→
↗27k ★GitHub

Go-to-Market Strategy

Turn a chosen audience and acquisition approach into a launch plan with channels, messages and milestones. Use go-to-market-motions when the acquisition model is still undecided.

Marketing · Go-to-Market→
↗27k ★GitHub

Marketing Campaign Ideas

Generate and compare five campaign concepts before choosing one. Use marketing-campaign-planning to organize execution of the selected idea.

Marketing · Campaigns→
↗27k ★GitHub

Product Growth Loops

Evaluates product-led growth loops and outlines measurable experiments for sharing, collaboration and referrals.

Marketing · Growth→
↗27k ★GitHub

Competitor Analysis

Choose for strategic comparison and differentiation from competitor evidence. Use competitor-research-profiles to first build detailed URL-based dossiers.

Marketing · Market Research→
↗27k ★GitHub

North Star Metric

Defines one customer-value metric and supporting input metrics with clear measurement assumptions.

Marketing · Measurement→
↗27k ★GitHub

Product Positioning

Develops differentiated product positioning ideas with audience fit, rationale, and supporting messages.

Marketing · Positioning→
·0 ★GitHub

Product Vision

Draft and compare product vision statements grounded in company values and customer needs.

Business · Product Strategy→
·0 ★GitHub

Go-to-Market Motion Selection

Choose an acquisition or sales motion suited to your economics and buying process. Use go-to-market-strategy to turn that choice into a launch plan.

Business · Acquisition Motions→
·0 ★GitHub

Customer Feedback and JTBD Analysis

Analyze an existing feedback dataset for themes, sentiment and improvement priorities. Use customer-research-synthesis to design new research and ideal-customer-profile to define the target customer.

Business · Customer Feedback→
·0 ★GitHub

PESTLE Market Environment Analysis

Map external political, economic, social, technological, legal and environmental factors for a business decision.

Business · Product Strategy→
·0 ★GitHub

Customer Journey Mapping

Map customer touchpoints and friction from awareness through advocacy.

Business · Customer Journey→
·0 ★GitHub

Ansoff Growth Options

Compare growth options across existing and new products and markets.

Business · Product Strategy→
·0 ★GitHub

Data Analysis Validation

Review methodology, calculations and conclusions before sharing an analysis.

Data & Analytics · Data Analysis→
·0 ★GitHub

Dataset Profiling

Profile a dataset and identify quality issues and useful follow-up analyses.

Data & Analytics · Data Analysis→
·0 ★GitHub

Statistical Analysis Guidance

Choose descriptive statistics and hypothesis tests while making assumptions and uncertainty explicit.

Data & Analytics · Data Analysis→
↗0 ★GitHub

Programmatic SEO Planning

Plan useful SEO pages at scale with a data strategy, templates and twelve complete playbooks.

Marketing · SEO→
↗0 ★GitHub

Landing Page and Form Conversion Review

Review marketing pages and forms, prioritize friction fixes and design measurable experiments.

Marketing · Conversion Optimization→
↗0 ★GitHub

Paywall and Upgrade Planning

Plan transparent in-product upgrade prompts and experiments after users experience value.

Marketing · Conversion Optimization→
↗0 ★GitHub

Signup and Registration Review

Review account creation and trial signup friction while preserving necessary security and consent controls.

Marketing · Conversion Optimization→
↗0 ★GitHub

User Onboarding and Activation

Plan the first useful product experience, activation milestones and measurable onboarding experiments.

Marketing · Conversion Optimization→
↗0 ★GitHub

Popup and Modal Planning

Design dismissible, accessible conversion overlays with honest offers and measurable frequency rules.

Marketing · Conversion Optimization→
↗0 ★GitHub

Email Sequence Copy and Flow

Write full email drafts, subject variants and a branching flow diagram. Choose Lifecycle Email Sequences for broader lifecycle planning with ten supporting references and provider guides.

Marketing · Email Marketing→
↗0 ★GitHub

Marketing Campaign Planning

Turn a selected campaign concept into a brief, calendar, dependencies and measurement plan. Use marketing-campaign-ideas when you still need concepts.

Marketing · Campaign Planning→
↗0 ★GitHub

Marketing Content Drafting

Draft channel-specific marketing content using clear structures, evidence and calls to action.

Marketing · Content Marketing→
↗0 ★GitHub

Brand Voice and Content Review

Review drafts against supplied brand guidance and propose specific, prioritized revisions.

Marketing · Brand Strategy→
↗0 ★GitHub

Marketing Performance Reporting

Turn supplied campaign or channel metrics into a traceable report with comparisons and testable recommendations.

Marketing · Marketing Analytics→
◇0 ★GitHub

Sales Company Research

Research one company or partner for a sourced B2B sales brief and outreach hypothesis. Use company-contact-enrichment to fill fields across lead or contact records.

Sales · Company Research→
◇0 ★GitHub

Company and Contact Enrichment

Resolve and enrich B2B lead, company and contact records with field-level evidence. Use sales-company-research for a narrative account brief and outreach hypothesis.

Sales · Sales Intelligence→
↗0 ★GitHub

Website Information Architecture

Plan page hierarchy, navigation, stable URL patterns and useful internal links for a website.

Marketing · Website Architecture→
↗0 ★GitHub

Content Strategy and Editorial Roadmap

Prioritize content pillars, audience questions and distribution plans using evidence and available resources.

Marketing · Content Strategy→
↗0 ★GitHub

Product Launch Planning

Plan a scoped product or feature launch across preparation, release and post-launch adoption.

Marketing · Launch Strategy→
↗0 ★GitHub

Customer Research and Voice of Customer

Design customer research or combine interviews, surveys and public evidence into needs and personas. Use customer-feedback-analysis for a supplied feedback dataset; ideal-customer-profile for ICP definition.

Marketing · Customer Research→
↗0 ★GitHub

Community Growth and Member Experience

Plan a community around member value, participation and measurable business goals.

Marketing · Community Marketing→
↗0 ★GitHub

Competitor Research Profiles

Choose to collect dated competitor dossiers from URLs, pricing pages and SEO evidence. Use competitor-analysis for the strategic comparison afterward.

Marketing · Competitive Intelligence→
·0 ★GitHub

Roadmap and Release Communication

Turn approved roadmap and release facts into audience-specific updates, release notes and changelogs.

Business · Roadmaps and Releases→
↗0 ★GitHub

Lifecycle Email Sequences

Plan coordinated welcome, nurture and retention journeys with ten supporting references, including provider guides. Choose Email Sequence Copy and Flow for a focused copy-and-flow drafting workflow.

Marketing · Lifecycle Email→
·0 ★GitHub

API Contracts and Interface Design

Define API contracts, pagination, error semantics and safe retry behavior; choose this for interface design, then Observability for evidence of runtime behavior.

Development · API Contracts→
·0 ★GitHub

Observability and Instrumentation Planning

Plan logs, metrics, traces and actionable runbooks for an existing service; use API Contracts first when the missing piece is interface behavior rather than runtime evidence.

Development · Observability→
◎0 ★GitHub

Agent Context and Session Handoff

Prepare project context, rules and restartable session handoffs; choose this for organizing context, and AI Context Window Audit for diagnosing existing overhead.

Agents · Context→
·0 ★GitHub

Product Discovery Sprint

Turn customer evidence into prioritized assumptions, experiments and proceed/pivot/stop decisions. Choose Customer Research and Synthesis when the evidence itself still needs synthesis.

Business · Product Discovery→
◇0 ★GitHub

Deal Quality Scoring

Design a deal-inspection scorecard with evidence, thresholds and override rules.

Sales · Pipeline Quality→
◇0 ★GitHub

Enrichment Waterfall Design

Design provider order, fallback paths and cost limits for an enrichment workflow. Use Company and Contact Enrichment for a specific research request.

Sales · Data Enrichment→
·0 ★GitHub

Customer Retention Playbook

Turn observed churn signals into owner-assigned retention plays and measurement plans.

Business · Customer Retention→
◇0 ★GitHub

Sales Coaching Practice

Turn an identified sales coaching gap into short practice drills and follow-up criteria. Use Sales Coaching Competencies to define the rubric first.

Sales · Sales Coaching→
·0 ★GitHub

Revenue Cohort Analysis

Define comparable revenue cohorts, metrics and diagnostic views. Use Statistical Analysis Guidance for inference methods.

Data & Analytics · Revenue Analytics→
◇0 ★GitHub

Intent Signal Scoring

Design a transparent account-intent score with decay, tiers and review rules.

Sales · Intent Signals→
·0 ★GitHub

Customer Identity Matching

Specify accountable matching and conflict-resolution rules across customer data sources.

Data & Analytics · Data Quality→
·0 ★GitHub

Segment Activation Planning

Map existing customer segments to cross-team actions, owners and measurable outcomes. Use User Onboarding and Activation for the individual first-value journey.

Business · Go-to-Market Operations→
◇0 ★GitHub

Sales Call Review

Review an authorized sales-call transcript with an observable rubric and evidence-linked coaching actions.

Sales · Sales Coaching→
·0 ★GitHub

Retention Dashboard Design

Specify retention metrics, cohort views and alert logic for a BI dashboard. Use Customer Retention Playbook for the intervention plan.

Data & Analytics · Revenue Analytics→
◇0 ★GitHub

Sales Coaching Competencies

Define observable sales competencies and calibrated coaching rubrics. Use Sales Coaching Practice for follow-up exercises.

Sales · Sales Coaching→
·0 ★GitHub

Offer Delivery Design

Compare done-for-you, guided and self-service delivery for an existing offer. Use Service Productization for repeatable packages and tiers.

Business · Offer Design→
↗0 ★GitHub

Offer Value Communication

Improve how an existing offer communicates its value through naming, structure and evidence-backed comparisons. Use Product Positioning for market differentiation.

Marketing · Offer Messaging→
·0 ★GitHub

Service Productization

Turn repeatable service work into defined packages, an offer ladder and optional upgrade paths. Use Offer Delivery Design when only the fulfillment format is undecided.

Business · Offer Design→
↗0 ★GitHub

Conversion Hypothesis Prioritization

Turn observed page/funnel friction into an evidence-ranked experiment backlog. Use Landing Page Conversion Review for a focused page critique.

Marketing · Conversion Optimization→
↗0 ★GitHub

Braze Engagement Guidance

Original Braze Canvas, segmentation and lifecycle guidance with declared reference limitations.

Marketing · Lifecycle Marketing→
↗0 ★GitHub

Brand Voice Guide Design

Create voice attributes, a tone matrix and channel guidance. Use Brand Voice Content Review to check an existing draft against established rules.

Marketing · Brand Voice→
↗0 ★GitHub

Content Pipeline Orchestration

Original workflow for chaining research, editorial review and social-pack agents.

Marketing · Content Operations→
↗0 ★GitHub

Website Brand Profile

Original website-to-brand-profile workflow; extracted observations must stay separate from inferred brand rules.

Marketing · Brand Identity→
◇0 ★GitHub

Buyer Objection Clarification

Map expressed buyer concerns to factual answers, supporting evidence and improvements to the offer.

Sales · Sales Messaging→
·0 ★GitHub

Klaviyo Integration Guidance

Original Klaviyo developer guide; SDK scripts, API contracts and version claims are not functionally verified.

Engineering · API Integrations→
↗0 ★GitHub

Offer Bonus Planning

Design relevant offer extras that address concrete customer needs and disclose their actual conditions.

Marketing · Offer Design→
↗0 ★GitHub

Klaviyo Marketing Review

Original Klaviyo marketing review workflow with explicit data-access and dependency warnings.

Marketing · Lifecycle Marketing→
↗0 ★GitHub

Cross-Platform Advertising Review

Original multi-platform ad-audit orchestration; required platform packages and scoring files are not included.

Marketing · Paid Advertising→
·0 ★GitHub

Expertise Business Model

Compare ways to monetize expertise against demand, capacity and goals. Use Service Productization to package a service already chosen.

Business · Business Model Design→
↗0 ★GitHub

LinkedIn Advertising Guidance

Original LinkedIn advertising guide with explicit warnings for obsolete audience features and unverified benchmarks.

Marketing · Paid Advertising→
↗0 ★GitHub

TikTok Advertising Guidance

Original TikTok campaign, creative and measurement guide; platform details and benchmarks are unverified.

Marketing · Paid Advertising→
·0 ★GitHub

Evidence Research Brief

Synthesize topic sources into a cited brief with evidence, uncertainty and content angles. Use Customer Research and Synthesis for interviews and customer feedback.

Research · Research Synthesis→
◫0 ★GitHub

Cinematic Video Prompts

Write timed cinematic video prompts with motion, camera and continuity cues.

Image & Video · Video Prompting→
◫0 ★GitHub

Visual Prompt Model Adaptation

Adapt a visual brief to model-specific syntax while flagging unknown capabilities.

Image & Video · Visual Prompting→
◫0 ★GitHub

Visual Prompt Diagnostics

Diagnose a failed image/video result and propose controlled prompt revisions.

Image & Video · Visual Prompting→
◫0 ★GitHub

Short Film Development

Develop a short-film idea into a logline, treatment, scene list and revision plan.

Image & Video · Film Development→
◫0 ★GitHub

Cinematic Image Prompts

Write cinematic still-image prompts with composition, lighting and identity anchors.

Image & Video · Image Prompting→
◫0 ★GitHub

Visual Continuity Bible

Track recurring characters, locations, props and changing scene state.

Image & Video · Visual Continuity→
◫0 ★GitHub

Screenplay Scene Writing

Write or revise filmable scenes, dialogue, beats and Fountain-style excerpts.

Image & Video · Film Development→
◫0 ★GitHub

Shotlist and Visual Breakdown

Translate a scene into shots, camera setups, assets and continuity notes.

Image & Video · Film Development→
◫0 ★GitHub

Cinematography Direction

Translate tone and genre into reusable camera, lighting and visual-style rules.

Image & Video · Visual Direction→
·0 ★GitHub

Product and Business Data Analysis

Use product/business data to frame a decision with evidence and tradeoffs. Use Metric Change Diagnostics to explain a movement first.

Data & Analytics · Decision Analysis→
·0 ★GitHub

KPI Framework Design

Define KPI formulas, targets, drivers and guardrails. Use North Star Metric for the narrower primary-value metric choice.

Data & Analytics · Measurement Design→
·0 ★GitHub

Metric Change Diagnostics

Investigate metric movements or discrepancies before choosing a business response.

Data & Analytics · Metric Diagnostics→
↗0 ★GitHub

Marketing Prompt Toolkit

Original workflow for marketing prompt evaluation, version history and governance.

Marketing · AI Content Operations→
·0 ★GitHub

UX Research and Journey Design

Plan personas, journeys and usability research. Use Customer Research and Synthesis for evidence synthesis alone.

Business · User Research→
↗0 ★GitHub

Growth Experiment Design

Original A/B testing and experimentation workflow with explicit statistical corrections.

Marketing · Experimentation→
↗0 ★GitHub

Structured Data Guidance

Original schema.org implementation guidance with rich-result freshness limitations.

Marketing · Technical SEO→
·0 ★GitHub

Pricing and Packaging Guidance

Original pricing, tiers and willingness-to-pay workflow. Use Expertise Business Model for the overall monetization structure.

Business · Pricing→
↗0 ★GitHub

Referral and Affiliate Planning

Plan referral incentives, affiliate terms and measurement from the original framework.

Marketing · Referral Marketing→
↗0 ★GitHub

Search Console Portfolio Review

Original multi-property Search Console comparison workflow with coverage caveats.

Marketing · SEO Analytics→
↗0 ★GitHub

AI Search Difficulty Guidance

Original keyword-difficulty scoring workflow using competitor metrics and observed AI citations.

Marketing · Search Research→
↗0 ★GitHub

AI Search Visibility Planning

Plan discoverability and citations in AI search. Use Search Console Portfolio Review for measured property comparisons.

Marketing · AI Search→
↗0 ★GitHub

Technical SEO Audit Guidance

Review technical and on-page SEO issues using the original audit workflow.

Marketing · Technical SEO→
·0 ★GitHub

Industry Five Forces

Analyze industry rivalry, entry, substitutes and buyer/supplier bargaining power. Use Competitor Analysis for individual competitor comparisons.

Business · Competitive Strategy→
·0 ★GitHub

Beachhead Market Selection

Select a focused initial market segment before expanding. Use GTM Motion Selection for the selling model.

Business · Market Entry→
·0 ★GitHub

Warehouse Context Extraction

Extract reusable warehouse schema, dialect and business context for later analysis.

Data & Analytics · Data Context→
↗0 ★GitHub

Ad Creative Production Guidance

Plan ad variants, review criteria and production handoffs from the original workflow.

Marketing · Creative Production→
·0 ★GitHub

Internal Change Communications

Plan employee change communications, sequencing and feedback loops.

Business · Change Management→
·0 ★GitHub

Business Process Mapping

Map process stages, queues and candidate bottlenecks from operational evidence.

Business · Operations→
·0 ★GitHub

Operations Capacity Guidance

Frame capacity, queueing and staffing scenarios with declared assumptions.

Business · Operations→
·0 ★GitHub

Procurement Spend Guidance

Review spend, renewals and supplier consolidation opportunities.

Business · Operations→
↗0 ★GitHub

SEO Content Gap Guidance

Identify candidate topic and keyword gaps between comparable websites.

Marketing · Content Research→
↗0 ★GitHub

Semrush Research Guidance

Use the original Semrush workflow to frame competitive search research.

Marketing · SEO Analytics→
↗0 ★GitHub

Ahrefs Research Guidance

Use the original Ahrefs workflow for backlinks, keywords and competitor research.

Marketing · SEO Analytics→
↗0 ★GitHub

Keyword Opportunity Research

Research keyword opportunities, intent and candidate content priorities.

Marketing · Keyword Research→
·0 ★GitHub

Source-Driven Development Guidance

Ground implementation decisions in resolved dependency versions and source documentation.

Engineering · Development Workflow→
·0 ★GitHub

DevTools Browser Testing Guidance

Plan browser debugging and test observations using a separately available DevTools MCP.

Engineering · Testing→
·0 ★GitHub

Application Hardening Guidance

Frame application threats and defensive hardening work from the original checklist.

Engineering · Security→
·0 ★GitHub

Portfolio and Program Management

Plan enterprise project portfolios, risk registers and resource discussions.

Business · Project Management→
↗0 ★GitHub

Marketing Page Conversion Review

Review a marketing page by value proposition, CTA, trust and friction. Use Conversion Hypothesis Prioritization for selecting among experiments.

Marketing · Conversion Optimization→
·0 ★GitHub

SaaS Metrics Coaching

Structure a SaaS health report from revenue, churn and acquisition inputs.

Business · SaaS Metrics→
·0 ★GitHub

Acquisition and Integration Planning

Frame acquisition rationale, diligence, negotiation questions and integration.

Business · Corporate Strategy→
·0 ★GitHub

Strategic Data Leadership

Frame data architecture, training-data rights, asset value and hiring decisions.

Data & Analytics · Data Strategy→
·0 ★GitHub

International Market Expansion

Compare foreign markets, entry modes, localization and operating requirements. Use Beachhead Market Selection for choosing an initial narrow segment.

Business · Market Entry→
·0 ★GitHub

Agile Team Forecasting

Frame sprint forecasts, retrospective actions and team-health discussions.

Business · Project Management→
↗0 ★GitHub

B2B Demand Acquisition Planning

Plan B2B SaaS acquisition channels, funnel handoffs and measurement. Use Cross-Platform Advertising Review for comparing existing channel results.

Marketing · Demand Generation→
↗0 ★GitHub

Registration Flow Review

Review account-creation steps, field friction and post-submit experience. Use User Onboarding Activation for activation after registration.

Marketing · Conversion Optimization→
·0 ★GitHub

Board Investor Deck Outline

Structure a board or investor narrative around metrics, variance and decisions.

Business · Executive Communication→
↗0 ★GitHub

Service Area Local SEO

Review service-area business profiles, location content, NAP and local schema.

Marketing · Local SEO→
·0 ★GitHub

Security Program Leadership

Frame a security program, risk register, incident coordination and board reporting. Use Application Hardening Guidance for application-level defenses.

Engineering · Security Governance→
◎0 ★GitHub

AI Work Self-Assessment

Assess task difficulty and execution quality using a two-axis rubric.

Agents · Evaluation→
·0 ★GitHub

Pricing Model and Packaging Design

Choose a pricing model, willingness-to-pay range and packaging tiers. Use Pricing and Packaging Guidance for the broader marketing workflow.

Business · Pricing→
↗0 ★GitHub

AI Citation Content Audit

Audit content structure and citation signals. Use AI Search Visibility Planning for broader visibility strategy.

Marketing · AI Search→
◇0 ★GitHub

Commercial Revenue Forecasting

Build pipeline, bookings and cohort revenue scenarios with explicit assumptions.

Sales · Revenue Operations→
·0 ★GitHub

Company Culture Design

Translate company values into observable behavior, rituals and review questions.

Business · Organization→
◇0 ★GitHub

Channel Profitability Planning

Compare fully loaded direct and partner channel economics and allocation scenarios.

Sales · Channel Strategy→
◎0 ★GitHub

Executive Deliberation Protocol

Structure independent executive perspectives, critique and human decision review.

Agents · Executive Workflows→
·0 ★GitHub

Organization Health Review

Review cross-functional organizational health and identify follow-up questions.

Business · Organization→
◇0 ★GitHub

Partnership Commercial Design

Frame partner tiers, joint go-to-market commitments and revenue-share economics.

Sales · Channel Strategy→
↗0 ★GitHub

Marketing Workflow Routing

Choose among the upstream marketing workflows and coordinate their handoffs.

Marketing · Marketing Operations→
↗0 ★GitHub

In-Product Upgrade Review

Review paywalls, feature gates and in-product upgrade moments. Use Marketing Page Conversion Review for public pricing pages.

Marketing · Conversion Optimization→
↗0 ★GitHub

Interactive Marketing Tool Planning

Plan a useful free calculator, generator or checker as a marketing asset. Use Lead Magnet Strategy for downloadable content.

Marketing · Lead Generation→
◎0 ★GitHub

Executive Advisor Routing

Route an executive question to appropriate advisor perspectives and synthesize decisions.

Agents · Executive Workflows→
◇0 ★GitHub

Discount Policy Design

Design discount bands, approval thresholds and exception rules. Use Deal Review Routing for applying an existing policy to one deal.

Sales · Commercial Governance→
·0 ★GitHub

Legal Issue Spotting

Organize contract, IP and regulatory questions for qualified counsel.

Business · Legal Planning→
·0 ★GitHub

Market Sizing Research Methods

Plan TAM/SAM/SOM estimates, survey sampling and segment evaluation.

Business · Market Research→
·0 ★GitHub

Compound Business Scenarios

Explore interacting business shocks and cross-functional responses.

Business · Scenario Planning→
↗0 ★GitHub

Lead Form Conversion Review

Review lead, contact or demo forms. Use Registration Flow Review for account creation.

Marketing · Conversion Optimization→
↗0 ★GitHub

Popup Conversion Review

Alternative popup framework from the Alireza collection. Use Popup Modal Planning for the existing M11 workflow with bundled references; this source variant has no reference package.

Marketing · Conversion Optimization→
·0 ★GitHub

Human Review Gate Guidance

Organize named human review and structured feedback before a requested sign-off.

Engineering · Review Workflow→
·0 ★GitHub

AI Strategy and Governance

Frame model build-versus-buy, AI economics, governance questions and staffing.

Business · AI Strategy→
◇0 ★GitHub

RFP Bid Response Planning

Map bid requirements to evidence, gaps and win themes before a bid decision.

Sales · Bid Management→
·0 ★GitHub

Product Research Methods

Choose research methods and organize evidence into an insight repository. Use UX Research and Journey Design for persona/journey artifacts.

Business · User Research→
·0 ★GitHub

Financial Leadership Planning

Frame cash, unit economics, fundraising and board financial questions. Use SaaS Metrics Coaching for a focused metric health report.

Business · Financial Planning→
◇0 ★GitHub

Deal Review Routing

Apply existing commercial policy to a specific deal and route exceptions to named humans.

Sales · Commercial Governance→
◎0 ★GitHub

Multi-Model Memo Review

Plan independent model critiques of a memo while preserving disagreements.

Agents · Evaluation→
◎0 ★GitHub

Google Agent Prompt Management

Manage stored prompt versions and lifecycle in Google Agent Platform, including explicit confirmation before deletion.

Agents · Prompt Operations→
·0 ★GitHub

Google Cloud Cost Architecture

Review Google Cloud costs using the Well-Architected Framework; WAF here does not mean a web application firewall.

Engineering · Cloud Economics→
·0 ★GitHub

BigQuery Slot Cost Optimization

Analyze BigQuery job and reservation telemetry to compare slot capacity and cost options.

Data & Analytics · Warehouse Economics→
◎0 ★GitHub

Google Managed Agent API

Plan lifecycle operations for stateful managed Agent resources. Use Google Agent Prompt Management for stored prompts only.

Agents · Agent Infrastructure→
·0 ★GitHub

Google IAM Policy Simulation

Replay historical access against proposed IAM v1 allow policies before a separately approved change.

Engineering · Cloud Security→
◎0 ★GitHub

Google Agent Evaluation Flywheel

Design synthetic evaluation datasets, judge-based evaluation and iterative agent improvement on Google Cloud.

Agents · Evaluation→
↗0 ★GitHub

Google Conversion and Event Ingestion

Plan Google Data Manager event and conversion ingestion. Use Google Audience Ingestion for audience membership.

Marketing · Measurement Integration→
·0 ★GitHub

Google Analytics Admin Configuration

Configure GA accounts, properties, streams and integrations. Use Google Analytics Reporting for querying performance data.

Data & Analytics · Analytics Administration→
↗0 ★GitHub

Google Audience Ingestion

Plan adding, removing or replacing Google Customer Match audience members. Use Google Conversion and Event Ingestion for events.

Marketing · Audience Operations→
↗0 ★GitHub

Google Data Manager Setup

Set up client libraries and authentication for Google Data Manager; audience and event payloads use the dedicated ingestion skills.

Marketing · Measurement Integration→
·0 ★GitHub

BigQuery AI and ML Guidance

Select BigQuery SQL AI/ML capabilities for forecasting, anomaly detection, vectors and generative analysis.

Data & Analytics · Machine Learning→
↗0 ★GitHub

Google Ads API Quickstart

Set up Google Ads API access and a campaign retrieval example; use Google Ads Account Diagnostics once access works.

Marketing · Ads Integration→
◎0 ★GitHub

Google RAG Corpus Management

Inspect Google Agent Platform RAG corpora and retrieve grounded context; not a general database or Workspace RAG workflow.

Agents · Retrieval→
·0 ★GitHub

Google Agent Gateway Security

Design ingress and egress controls using Agent Gateway, Model Armor, IAP and registries.

Engineering · Cloud Security→
◎0 ★GitHub

Google Multi-Agent Deployment Design

Gather requirements and design Google Cloud agent deployment instructions. Use Google Cloud Solution Architecture for non-agent systems.

Agents · Agent Infrastructure→
·0 ★GitHub

Google Analytics Reporting

Query Google Analytics reporting data through the Data API. Use Google Analytics Admin Configuration for account/property settings.

Data & Analytics · Web Analytics→
·0 ★GitHub

BigQuery Lineage Impact Analysis

Inspect downstream BigQuery lineage before a proposed asset change. Use Google Data Lineage Summary for general lineage orientation.

Data & Analytics · Data Governance→
·0 ★GitHub

Google Agentic Data Science Design

Design a Google Cloud agentic data-science workflow spanning analysis, models and deployment planning.

Data & Analytics · Data Science Architecture→
·0 ★GitHub

Google Agent Alert Configuration

Plan Terraform and telemetry-based alerts for agent reliability and supported quality signals.

Engineering · Observability→
·0 ★GitHub

Google Cloud Solution Architecture

Design cross-product Google Cloud solutions and review deployment plans; use Multi-Agent Deployment Design for agent-specific systems.

Engineering · Cloud Architecture→
·0 ★GitHub

Google Data Lineage Summary

Summarize available BigQuery and GCS lineage; use BigQuery Lineage Impact Analysis for downstream change impact.

Data & Analytics · Data Governance→
◎0 ★GitHub

Google Agent Skill Registry

Browse and manage Google Agent Platform skill registry revisions; this is separate from the M11 catalog.

Agents · Skill Operations→
◎0 ★GitHub

Google Agent Model Tuning

Plan model-category-specific tuning, dataset preparation and jobs on Google Agent Platform.

Agents · Model Training→
↗0 ★GitHub

Google Ads Account Diagnostics

Investigate Google Ads conversion loss, impression share and bid/budget constraints; use API Quickstart for initial access.

Marketing · Ads Analysis→
↗0 ★GitHub

Competitor Ad Collection

Collect competitor ad samples and separate long-running from recently repeated creatives. Use Competitor Ad Intelligence for a cross-brand report.

Marketing · Creative Research→
·0 ★GitHub

GA4 Reporting Integrity

Check GA4 metric definitions, channel totals, intraday completeness and attribution differences before reporting results.

Data & Analytics · Web Analytics→
↗0 ★GitHub

Google Ads Experiment Planning

Plan Google Ads experiments using the GoMarble proposal workflow; use Growth Experiment Design for broader experiment strategy.

Marketing · Ads Operations→
↗0 ★GitHub

Meta Account Performance Analysis

Analyze Meta account performance, baselines and active-entity metrics. Use Meta Ads Deep Analysis for the wider audit framework.

Marketing · Ads Analysis→
↗0 ★GitHub

Google Ads Optimization Guardrails

Check Google Ads recommendations against valid budget controls, metric choice and source scaling rules.

Marketing · Ads Analysis→
↗0 ★GitHub

Winning Ads Workflow

Coordinate the full GoMarble competitor-to-production-brief workflow. Use the individual collection, diagnosis or brief skills for one step.

Marketing · Creative Strategy→
↗0 ★GitHub

Meta Ads Optimization Guardrails

Review Meta recommendations against budget controls, conversion type, learning-stage and evidence requirements.

Marketing · Ads Analysis→
↗0 ★GitHub

Ad Pattern Synthesis

Combine competitor, own-creative and hook evidence into test directions; this synthesizes existing research rather than collecting new data.

Marketing · Creative Strategy→
↗0 ★GitHub

Google Search Campaign Change Planning

Plan GoMarble tool parameters for Search bids, budgets, negatives and query isolation. Use Search Campaign Analysis to diagnose first.

Marketing · Ads Operations→
↗0 ★GitHub

Ad Hook Psychology

Generate or critique hooks using the source psychological framework; does not require account data or execute ads.

Marketing · Creative Strategy→
↗0 ★GitHub

Meta Ad Set Planning

Prepare Meta ad-set targeting, attribution and bids under a verified parent campaign. Use Meta Campaign Planning for campaign-level settings.

Marketing · Ads Operations→
↗0 ★GitHub

Meta Ad Change Operations

Plan updates to existing Meta campaigns, ad sets and ads; use Meta Ads Creation Workflow for new structures.

Marketing · Ads Operations→
↗0 ★GitHub

Google PMax Scaling Plan

Plan PMax scaling after maturity and performance evaluation; use Google PMax Evaluation before choosing changes.

Marketing · Ads Analysis→
↗0 ★GitHub

Own Ad Creative Diagnosis

Diagnose your own creative patterns using account data, CSV or supplied assets. Use Meta Creative Metrics Analysis for the narrow metric framework.

Marketing · Creative Analysis→
↗0 ★GitHub

Meta Creative Metrics Analysis

Apply the source video/image/catalog diagnostic framework to Meta creative metrics; use Own Ad Creative Diagnosis for a broader asset teardown.

Marketing · Creative Analysis→
↗0 ★GitHub

Meta Ads Deep Analysis

Structure a Meta audit across hierarchy, breakdowns, time and attribution; use Meta Account Performance Analysis for account baselines.

Marketing · Ads Analysis→
↗0 ★GitHub

Google Ads Keyword Planning

Plan paid-search keyword discovery and match-type choices using GoMarble's Keyword Planner workflow; not organic SEO research.

Marketing · Paid Search→
↗0 ★GitHub

Google Shopping Optimization

Review Shopping feed health and product-level decisions before campaign changes; not PMax optimization.

Marketing · Ads Analysis→
↗0 ★GitHub

Meta Ad and Creative Planning

Prepare Meta ads with single-image/video or catalog creatives under an existing ad set. Use Ad Brief Production for creator instructions.

Marketing · Ads Operations→
↗0 ★GitHub

Google Ads Creation Workflow

Route Google Ads create/update tasks through the GoMarble proposal and approval workflow; use API Quickstart for SDK setup.

Marketing · Ads Operations→
·0 ★GitHub

Shopify Revenue Reconciliation

Reconcile Shopify order reports with dashboard totals using dates, refunds, currencies and financial-status scope.

Data & Analytics · Commerce Analytics→
↗0 ★GitHub

Google Search Campaign Analysis

Classify Search queries and diagnose CPC, rank and budget pressure; use Search Campaign Change Planning for proposed mutations.

Marketing · Paid Search→
↗0 ★GitHub

Google Shared Negative Lists

Plan shared Google Ads negative lists and campaign attachments, distinguishing campaign IDs from shared-set link IDs.

Marketing · Ads Operations→
↗0 ★GitHub

Competitor Ad Intelligence

Summarize sampled competitor ads into cross-brand patterns and whitespace. Use Competitor Ad Collection for detailed cohort collection.

Marketing · Creative Research→
↗0 ★GitHub

Google Ads Deep Analysis

Organize an eight-dimension GoMarble Google Ads audit; use Google Ads Account Diagnostics for the Google-authored issue workflow.

Marketing · Ads Analysis→
↗0 ★GitHub

Meta Campaign Planning

Prepare Meta campaign objectives, ABO/CBO budgets and special-ad categories. Use Meta Ad Set Planning for targeting and attribution.

Marketing · Ads Operations→
↗0 ★GitHub

Meta Ads Creation Workflow

Coordinate Meta campaign, ad-set and creative creation with separate approval to enable new ads.

Marketing · Ads Operations→
↗0 ★GitHub

Ad Brief Production

Turn a chosen evidence-backed creative direction into a creator brief, hook, shot list, voiceover and CTA.

Marketing · Creative Production→
↗0 ★GitHub

Google Ads Bid Modifier Planning

Plan device, location and audience bid modifiers using the source mutation workflow; not campaign-budget allocation.

Marketing · Ads Operations→
↗0 ★GitHub

Google PMax Evaluation

Evaluate PMax maturity, comparative performance and asset labels before scaling. Use Google PMax Scaling Plan after this diagnosis.

Marketing · Ads Analysis→
↗0 ★GitHub

Creator Record Governance

Organize creator rates, rights, exclusivity and history through the source registry protocol. Use Influencer Fit Assessment for shortlist scoring.

Marketing · Creator Operations→
↗0 ★GitHub

Social Platform Norm Review

Maintain dated social-platform format and policy notes, separating official documentation from folklore; not channel selection.

Marketing · Social Operations→
↗0 ★GitHub

SERP Rank Change Tracking

Compare ranking snapshots and SERP-position changes over time. Use SERP Intent and Feature Analysis for a single-query layout review.

Marketing · SEO→
↗0 ★GitHub

Ad Fatigue and Frequency Review

Distinguish creative fatigue from audience saturation using frequency and CTR/CVR trends; use Own Ad Creative Diagnosis for individual asset analysis.

Marketing · Ads Analysis→
↗0 ★GitHub

Social Mention Triage

Plan brand-mention sweeps, baselines and triage with explicit source coverage. Use Launch Window Monitoring for launch-specific telemetry.

Marketing · Social Listening→
↗0 ★GitHub

Launch Retrospective Analysis

Compare launch outcomes with preregistered channel targets and derive keep/change/stop recommendations.

Marketing · Launch Operations→
↗0 ★GitHub

Proof Point Packaging

Turn already approved proof into reusable stat cards, case snippets and testimonials; does not substantiate missing claims.

Marketing · Brand Evidence→
↗0 ★GitHub

Influencer Fit Assessment

Assess creator suitability separately from campaign-specific commercial fit. Use Creator Record Governance for factual rates and rights history.

Marketing · Creator Strategy→
↗0 ★GitHub

Conversion Signal Review

Plan conversion-event, UTM, deduplication and attribution-window checks. Use Conversion Value Mapping for value rather than firing logic.

Marketing · Measurement Integration→
↗0 ★GitHub

Launch Day Runbook

Build a launch-day runbook with owners, observation windows and rollback criteria; requires the source readiness and date evidence.

Marketing · Launch Operations→
↗0 ★GitHub

Social Inbox Response Planning

Triage comments and DMs and draft ranked human-posted replies, escalation and UGC permission requests.

Marketing · Community Operations→
↗0 ★GitHub

Product Feed Review

Review Shopping/PMax product attributes, disapprovals and truthful title improvements. Use Google Shopping Optimization for campaign performance decisions.

Marketing · Commerce Advertising→
↗0 ★GitHub

Conversion Value Mapping

Define conversion values, margin adjustments and proxy-value assumptions before value-based bidding. Use Conversion Signal Review to check firing first.

Marketing · Measurement Integration→
↗0 ★GitHub

Paid Bid Strategy Planning

Choose bidding strategy, initial targets and learning-phase plan; use Google Ads Bid Modifier Planning for specific modifier operations.

Marketing · Paid Search→
↗0 ★GitHub

Launch Media Relations Planning

Draft media tiers, embargo pitches and factual press-release structure; no outreach is sent.

Marketing · Public Relations→
↗0 ★GitHub

Post-Launch Momentum Planning

Plan substantive follow-up moments and assess whether an update warrants a relaunch; not paid amplification execution.

Marketing · Launch Operations→
↗0 ★GitHub

Entity Fact Governance

Organize canonical entity identity, sameAs and machine-facing facts. Use Narrative Canon Governance for human-facing brand wording.

Marketing · SEO→
↗0 ★GitHub

Social Crisis Response Planning

Plan severity, human pause actions, statements and stand-down evidence. Use Launch Day Runbook for incidents inside an active launch.

Marketing · Community Operations→
↗0 ★GitHub

Influencer Audience Mapping

Map audience or niche-community context into creator selection criteria; use Influencer Fit Assessment for named shortlist scoring.

Marketing · Audience Research→
↗0 ★GitHub

Email List Health Monitoring

Plan recurring engagement-decay and suppression-drift reviews; use Consent Record Governance for authoritative opt-in state.

Marketing · Email Operations→
↗0 ★GitHub

SERP Intent and Feature Analysis

Analyze a query's intent, result layout and feature opportunities. Use SERP Rank Change Tracking for longitudinal position changes.

Marketing · SEO→
↗0 ★GitHub

Narrative Canon Governance

Maintain versioned brand narrative, message hierarchy and voice facts; this records the canon rather than inventing positioning.

Marketing · Brand Governance→
↗0 ★GitHub

Email List Growth Planning

Plan acquisition channels, incentives and opt-in capture evidence. Use Lead Magnet Strategy for selecting a downloadable asset.

Marketing · Email Strategy→
↗0 ★GitHub

Social Selling Routine

Plan a human-led founder engagement routine and relevant trigger responses; no mass messaging or engagement automation.

Marketing · Social Selling→
↗0 ★GitHub

Launch Window Monitoring

Plan launch-window ranking and KPI snapshots with source labels. Use Social Mention Triage for ongoing listening outside launches.

Marketing · Launch Operations→
↗0 ★GitHub

Consent Record Governance

Describe pseudonymous opt-in, suppression and erasure event governance; does not install a registry or change an email platform.

Marketing · Consent Operations→
↗0 ★GitHub

Launch Record Governance

Record authoritative launch dates, stages, embargoes and outcomes through the source event protocol; not readiness scoring.

Marketing · Launch Operations→
↗0 ★GitHub

Social Channel Record Governance

Organize social-channel ownership, cadence, voice and UGC permission facts; not channel selection or permission inference.

Marketing · Social Operations→
↗0 ★GitHub

HyperFX Google Ads Workflow

Plan Google Ads creation and reporting through HyperFX. Use Google Ads Creation Workflow for the separate GoMarble connector.

Marketing · Ads Operations→
↗0 ★GitHub

Pinterest Ads Workflow

Plan Pinterest campaign structures, targeting and reporting through HyperFX with explicit budget-unit handling.

Marketing · Ads Operations→
↗0 ★GitHub

Amazon Sponsored Products Workflow

Plan Amazon Sponsored Products targeting, bids, negatives and reporting through HyperFX.

Marketing · Ads Operations→
↗0 ★GitHub

HyperFX SEO Research

Plan HyperSEO keyword, site and AI-visibility research; use SERP Intent and Feature Analysis for source-independent query interpretation.

Marketing · SEO→
↗0 ★GitHub

Reddit Ads Workflow

Plan Reddit campaign, ad-group and promoted-post workflows through HyperFX; separate archive status from permanent deletion.

Marketing · Ads Operations→
↗0 ★GitHub

HyperFX Meta Ads Workflow

Plan Meta campaigns and reports using HyperFX activation tools. Use Meta Ads Creation Workflow for GoMarble's different approval contract.

Marketing · Ads Operations→
↗0 ★GitHub

HyperFX Competitor Monitoring

Plan multi-surface competitor snapshots and diffs with HyperFX. Use Competitor Research Profiles for a source-independent company profile.

Marketing · Competitive Research→
↗0 ★GitHub

HyperFX Blog Workflow

Plan one evidence-backed blog post and a persistent strategy document using HyperFX research and CMS integrations.

Marketing · Content Operations→
↗0 ★GitHub

HyperFX LinkedIn Publishing

Prepare LinkedIn text, document or carousel publishing through HyperFX; use Social Selling Routine for human-led engagement planning.

Marketing · Social Operations→
↗0 ★GitHub

HyperFX Email Lifecycle

Plan provider-specific lifecycle email operations across HyperFX integrations; use Email Sequence Copy and Flow for copy planning.

Marketing · Email Operations→
↗0 ★GitHub

HyperFX Customer Research

Gather and synthesize customer language through HyperFX sources or supplied research. Use Customer Research Synthesis for the existing bundled research workflow.

Marketing · Customer Research→
↗0 ★GitHub

HyperFX Meta Ad Library Research

Research public Meta ad-library samples and optionally business contact information through HyperFX; use Competitor Ad Collection for GoMarble.

Marketing · Creative Research→
↗0 ★GitHub

HyperFX Brand Context

Maintain a shared brand-context document from evidence and interviews; use Narrative Canon Governance for formal versioned brand records.

Marketing · Brand Governance→
·0 ★GitHub

HyperFX Analytics Workflow

Plan GA4, GTM, Search Console and BigQuery work through HyperFX; use Google Analytics Reporting for the Google-authored Data API guide.

Data & Analytics · Measurement Integration→
◇0 ★GitHub

HyperFX Cold Email Workflow

Plan HyperFX prospect research, draft review and reply routing; this source includes sending tools but M11 only loads guidance.

Sales · Sales Outreach→
↗0 ★GitHub

HyperFX OpenAI Ads Guidance

Load HyperFX's third-party OpenAI Ads workflow description; platform/API availability and claimed tool behavior are unverified.

Marketing · Ads Operations→
↗0 ★GitHub

HyperFX Ad Creative Workflow

Plan brand-grounded ad copy and image generation through HyperFX; use Ad Brief Production for creator-facing production instructions.

Marketing · Creative Production→
↗0 ★GitHub

HyperFX TikTok Ads Workflow

Plan TikTok campaign parameters, video uploads and reporting through HyperFX.

Marketing · Ads Operations→
↗0 ★GitHub

Snapchat Ads Workflow

Plan Snapchat campaign, ad-squad and creative operations through HyperFX with paused creation and separate activation review.

Marketing · Ads Operations→
↗0 ★GitHub

HyperFX YouTube Content Workflow

Plan transcript-based summaries, video packaging and thumbnails through HyperFX; no video is downloaded or uploaded by loading this guide.

Marketing · Content Repurposing→
·0 ★GitHub

SQL Analysis & Optimization

Analyze SQL data models and performance bottlenecks.

Engineering · Data Engineering→
·0 ★GitHub

Customer Support Operations

Plan support operations, ticket triage and service workflows.

Business · Customer Support→
·0 ★GitHub

Returns & Reverse Logistics

Plan returns, inspection and reverse-logistics workflows.

Business · Operations→
·0 ★GitHub

Customs & Trade Compliance

Organize customs and trade-compliance questions for qualified review.

Business · Compliance Planning→
↗0 ★GitHub

Apify Market Research

Plan market and geographic research using public permitted sources.

Marketing · Market Research→
·0 ★GitHub

AI Coding Agent Guardrails

Set operating boundaries for AI coding agents and their permissions.

Engineering · AI Governance→
·0 ★GitHub

Churn Prevention

Plan retention, dunning and win-back decision paths.

Business · Retention→
·0 ★GitHub

HR Pro

Organize ethical HR workflows, policies and employee-relations questions.

Business · People Operations→
↗0 ★GitHub

ActiveCampaign Automation

Plan ActiveCampaign contact, tag and automation work through connected tools.

Marketing · Marketing Operations→
·0 ★GitHub

Business Analyst / BI

Frame KPI, dashboard and business-analysis work from available evidence.

Data & Analytics · Business Intelligence→
·0 ★GitHub

Before You Build / Product Risk

Review demand, alternatives and risk signals before building a product.

Business · Product Strategy→
·0 ★GitHub

Business Continuity Planning

Plan business-continuity analysis and recovery documentation.

Business · Resilience Planning→
◎0 ★GitHub

Agent Memory Systems

Design agent-memory concepts and evaluation questions.

Agents · Memory Architecture→
·0 ★GitHub

Inventory Demand Planning

Plan demand forecasting, safety stock and replenishment decisions.

Business · Operations→
·0 ★GitHub

Quality & Non-Conformance Management

Organize quality investigations, corrective actions and supplier follow-up.

Business · Quality Operations→
◎0 ★GitHub

Agent Observability

Plan tracing, token, latency and cost visibility for AI agents.

Agents · Observability→
·0 ★GitHub

Employment Documentation

Draft and review employment-documentation structure for qualified local review.

Business · People Operations→
◎0 ★GitHub

Agent Self-Scheduling

Plan bounded scheduled agent runs with stop conditions and oversight.

Agents · Automation Design→
·0 ★GitHub

Counterparty Adverse Media Screening

Organize adverse-media and sanctions research while retaining uncertainty and review status.

Business · Risk Research→
◎0 ★GitHub

Agent Evals

Plan evaluation datasets, criteria and regression checks for AI agents.

Agents · Evaluation→
·0 ★GitHub

Vendor Risk Management

Organize third-party risk-assessment and review workflows.

Business · Risk Management→
·0 ★GitHub

Odoo Accounting Setup

Plan Odoo accounting configuration and reconciliation work.

Business · Accounting Operations→
·0 ★GitHub

Cloud Architect

Design cloud architecture options and operational constraints.

Engineering · Cloud Architecture→
·0 ★GitHub

IT Service Management / ITIL

Plan IT service-management practices and operational governance.

Engineering · Service Management→
·0 ★GitHub

Free Tier Strategy

Plan free-tier boundaries, conversion path and abuse controls.

Business · Monetization→
·0 ★GitHub

Customer Research / Voice of Customer

Synthesize customer research and voice-of-customer evidence.

Business · Customer Research→
↗0 ★GitHub

App Store Optimization

Plan app-store research, listing improvements and performance monitoring.

Marketing · App Store Optimization→
·0 ★GitHub

Billing Automation

Plan recurring billing, invoicing and dunning workflows.

Business · Revenue Operations→
↗0 ★GitHub

StoryBrand Messaging

Clarifies customer-centered messaging, a one-liner and calls to action using the StoryBrand narrative structure.

Marketing · Brand Messaging→
·0 ★GitHub

Monetizing Innovation

Frames pricing and packaging around validated willingness to pay before product scope is committed.

Business · Pricing Strategy→
·0 ★GitHub

Blue Ocean Strategy

Explores differentiated market opportunities with value innovation, strategy canvases and non-customer perspectives.

Business · Market Strategy→
·0 ★GitHub

Crossing the Chasm

Plans a technology product’s path from early adopters toward a focused mainstream beachhead.

Business · Go-to-Market→
·0 ★GitHub

Hooked — Habit-Forming UX

Analyzes product engagement loops using triggers, actions, rewards and investment with an explicit ethics lens.

Business · Retention→
·0 ★GitHub

Cold Start Problem — Network Effects

Plans early network formation and growth for marketplaces, collaboration products and other networked services.

Business · Growth Strategy→
·0 ★GitHub

Good Strategy / Bad Strategy

Audits strategy as diagnosis, guiding policy and coherent action rather than goals or slogans.

Business · Strategy→
·0 ★GitHub

Lean Analytics

Selects decision-relevant product metrics, counter-metrics and evidence-based measurement plans.

Data & Analytics · Product Analytics→
↗0 ★GitHub

Obviously Awesome Positioning

Defines product positioning through competitive alternatives, differentiated attributes and best-fit customer context.

Marketing · Positioning→
↗0 ★GitHub

Scorecard Marketing

Designs evidence-aware scorecard and assessment funnels for qualified lead discovery and follow-up planning.

Marketing · Lead Generation→
·0 ★GitHub

Jobs-to-Be-Done

Frames customer progress, switching behavior and unmet needs for research and product decisions.

Business · Customer Research→
↗0 ★GitHub

CRO Methodology

Structures evidence-based conversion research, friction analysis and test planning for websites and funnels.

Marketing · Conversion Optimization→
·0 ★GitHub

The Mom Test — Customer Interviews

Prepares customer interviews that focus on past behavior and evidence instead of leading questions.

Business · Customer Research→
◇0 ★GitHub

Predictable Revenue

Plans role-based B2B outbound sales processes, qualification and pipeline measurement.

Sales · Outbound Sales→
◇0 ★GitHub

$100M Offers — External Benchmark

Develops evidence-aware offers, value articulation, bonuses and ethical risk reversal for a specific audience.

Sales · Offer Design→
·0 ★GitHub

Multi-Tenant SaaS Architecture

Designs tenant-model and operating-boundary decisions for subscription SaaS products.

Engineering · SaaS Architecture→
·0 ★GitHub

Product Shaping / Bounded Bets

Shapes product work into bounded, evidence-aware bets before delivery resources are committed.

Business · Product Strategy→
·0 ★GitHub

AI Operating Economics

Evaluates AI-enabled workflows through outcomes, quality, full costs, uncertainty and accountable governance.

Business · AI Strategy→
·0 ★GitHub

Outcome Roadmapping & Product Portfolio

Builds outcome-based roadmaps and portfolio choices with evidence, dependencies and stop criteria.

Business · Product Strategy→
◎0 ★GitHub

AI Governance Operating System

Designs AI governance structures, decision rights, risk tiers and lifecycle evidence for qualified review.

Agents · AI Governance→
·0 ★GitHub

Product Operations & Governance

Defines product decision rights, evidence standards and recurring cross-functional governance cadences.

Business · Product Operations→
·0 ★GitHub

Capability & Readiness Gap Analysis

Compares evidence-backed current and target states to prioritize bounded capability and readiness interventions.

Business · Capability Planning→
·0 ★GitHub

Product Lifecycle Learning & Retirement

Turns post-launch evidence into bounded continue, improve, pause, pivot or retirement recommendations.

Business · Product Lifecycle→
·0 ★GitHub

Forward-Deployed Engineering

Guides an embedded technical engagement from discovery through adoption and measured outcomes.

Engineering · Delivery Strategy→
·0 ★GitHub

Automation Strategy & ROI

Use when deciding whether a process is worth automating, sizing ROI and build-vs-buy, choosing an automation platform, or diagnosing why a fleet of automations keeps breaking — the decision layer before anyone builds. NOT building the flow (that is `automation-flows`, or `n8n` / `make` / `zapier` / `power-automate` to drive a live platform).

Business · Operations→
·0 ★GitHub

No-Code Automation Flows

Use when building or fixing a no-code automation on n8n, Make, or Zapier — trigger to multi-app steps with data mapping, dedup, retries and an error path — or picking the platform by billing unit (task vs credit vs execution). NOT a typed API client in code (that is api-connector-builder), NOT a webhook receiver in your own app (that is webhooks).

Business · Operations→
·0 ★GitHub

Structured Hiring & Recruiting

Use when a role is open and you must write the job post, screen inbound candidates, structure the interview loop, or score them to a defensible Hire / On-Hold / No-Hire — including whether an AI résumé filter is legal. NOT after the offer is accepted — onboarding, payroll, performance (that is `people-ops`), NOT offer terms (that is `contracts`).

Business · People Operations→
·0 ★GitHub

Embeddings & Semantic Search

Use when choosing an embedding model, chunk size, or query form, when semantic search returns irrelevant results, when adding hybrid BM25+vector or a reranker, or when a retrieval change needs a number (recall@k, nDCG, MRR). NOT operating the store — index tuning, quantization (that is `vector-db`) — nor the retrieve-to-answer loop (that is `rag`).

Engineering · Search Architecture→
·0 ★GitHub

RAG — Grounded Retrieval & Citations

Use when building grounded Q&A over your own corpus — chunk, retrieve hybrid, rerank, ground, cite chunk ids, refuse when the sources fall short — or when the right document is retrieved but the answer is still wrong, invented, or unmeasured. NOT operating the store itself — collection schema, HNSW ef_search, quantization (that is `vector-db`).

Engineering · Knowledge Retrieval→
◇0 ★GitHub

Sales Pipeline Operations

Use when an operator runs deals out of a spreadsheet or Notion and wants real stages, win probabilities, deal hygiene, a weekly follow-up sweep, and a defensible roll-up forecast — including the case where the pipeline looks full but nothing closes. NOT statistical or scenario forecast modelling (that is `forecasting`), NOT sourcing prospects (that is `lead-gen`), NOT writing the outbound emails (that is `cold-outreach`), NOT the proposal or quote (that is `proposals`), NOT the post-close kickoff (that is `client-onboarding`).

Sales · Sales Operations→
·0 ★GitHub

GA4 / PostHog Analytics Instrumentation

Use when instrumenting product or web analytics — GA4/PostHog SDK wiring, event taxonomy, funnels, double-counted events, consent gating, PII scrubbing. NOT charting that data (that is dashboard), NOT choosing which metrics matter (that is kpi-framework), NOT experiment math (that is ab-testing), NOT cookie-policy text (that is gdpr-privacy).

Data & Analytics · Product Analytics→
·0 ★GitHub

Reliable Structured Extraction

Use when text must become a typed, schema-conformant object you can trust — pulling fields into a fixed JSON shape, extracting line items as typed records, classifying into enums, and building the Pydantic or Zod model plus the validate-and-retry loop. Covers extractors that throw parse errors, leak markdown fences, or fabricate a value where the field is absent instead of returning null. NOT getting the text out of a PDF, scan or DOCX first (that is `document-processing`), NOT general prompt craft untied to a schema (that is `prompt-engineering`).

Engineering · Data Extraction→
◎0 ★GitHub

LLM Fine-Tuning & Preference Optimization

Use when adapting an open-weight model to a target form or behavior — tone, output format, reasoning pattern — via LoRA/QLoRA or full fine-tuning with TRL SFTTrainer, then preference optimization (DPO/ORPO/KTO/GRPO), and for fine-tune vs prompt vs RAG. NOT adding facts to a model (that is rag); NOT the single-GPU Unsloth backend or GGUF export (that is unsloth).

Agents · Model Development→
◎0 ★GitHub

Building Production LLM Agents

Use when building or restructuring an LLM agent — provider adapter, tool calling, structured output, RAG, agent loop, eval gate, cost routing, tracing, MCP server — model-agnostic across OpenAI/Anthropic/Gemini/OSS so a model swap is a config change. NOT vector-store SQL alone (that is `postgresdb`) or service deployment (that is `deployment`).

Agents · Agent Architecture→
·0 ★GitHub

Knowledge Operations & Curation

Use when an already-running 02-DOCS/ wiki needs gardening judgment — what is worth capturing (default: nothing), where a loose note belongs, whether to split a bloated article or merge near-duplicates, how to link orphans back in, and what retires to _archive (never delete). NOT building or sweeping the wiki engine itself (that is `harness`).

Business · Knowledge Operations→
◎0 ★GitHub

Prompt Engineering — Reliability & Evals

Use when one prompt must give the same right answer across reruns, models, and pasted-in hostile input: forcing a fixed schema, picking the few-shot set, ordering the prompt blocks, or the inline cases you run while tuning. NOT the agent loop, tools, or retrieval (that is `building-agents`), NOT a standing CI eval harness (that is `agent-eval`).

Agents · Prompt Engineering→
·0 ★GitHub

Startup Fundraising Process

Use when planning or running an equity round as a process: sizing the raise to a milestone, choosing post-money SAFE vs priced round, tiering investors by intro path, sequencing outreach for momentum, or reading a term sheet before signing. NOT the slide narrative (that is `pitch-deck`), NOT the cap-table or valuation math (that is `financial-model`).

Business · Fundraising→
·0 ★GitHub

KPI Framework & North-Star Metrics

Use when a team must decide what to measure before building anything — picking one north-star metric, separating leading input drivers from lagging outputs, adding guardrails so a number cannot be gamed, and setting a target that is not arbitrary. NOT the live dashboard that displays them (that is `dashboard`), NOT instrumenting the events (that is `analytics`), NOT the recurring board report (that is `reporting`).

Data & Analytics · Performance Measurement→
◎0 ★GitHub

Production Support & Sales Chatbots

Use when a support or sales bot on a live website must behave: persona/system prompt, grounding so it cannot invent prices or policy, jailbreak and injection defense, the human handoff, launch metrics and kill switch. NOT the agent loop or RAG index under it (that is `building-agents`), NOT a human answering one ticket (that is `customer-support`).

Agents · Customer Support Automation→
·0 ★GitHub

Marketing Project Management for SaaS

Coordinates bounded marketing work, ownership, timelines and delivery dependencies for SaaS teams.

Business · Marketing Operations→
↗0 ★GitHub

SaaS Social Media Operations

Plans governed social, community and creator operations with clear platform, consent and owner boundaries.

Marketing · Social Media Operations→
↗0 ★GitHub

SaaS SEO Growth Operations

Guides evidence-led SaaS SEO strategy, content and technical opportunity planning.

Marketing · SEO Operations→
↗0 ★GitHub

Developer Marketing & DevRel Operations

Plans developer marketing and DevRel work across technical audience, content and community context.

Marketing · Developer Marketing→
↗0 ★GitHub

SaaS Growth Operations / PLG

Frames self-serve activation, retention and expansion decisions for a SaaS product.

Marketing · Product-Led Growth→
↗0 ★GitHub

SaaS Events & Field Marketing Operations

Plans SaaS event and field-marketing work with objectives, measurement and owner boundaries.

Marketing · Events Marketing→
↗0 ★GitHub

ABM Operations for SaaS

Guides account selection, tiering, cross-channel contracts and measurement for ABM programs.

Marketing · Account-Based Marketing→
↗0 ★GitHub

SaaS Email Marketing Operations

Plans SaaS email and automation operations with deliverability, consent and lifecycle boundaries.

Marketing · Email Marketing→
↗0 ★GitHub

SaaS Product Marketing Operations

Guides SaaS product marketing, positioning and launch coordination from evidence to reviewable plans.

Marketing · Product Marketing→
·0 ★GitHub

Marketing Client Operations & QA

Guides client-facing marketing operations, quality gates and handoffs for accountable delivery.

Business · Marketing Operations→
↗0 ★GitHub

SaaS Partnerships & Ecosystem Operations

Frames partnership and ecosystem decisions for SaaS with scope, evidence and ownership.

Marketing · Partnership Marketing→
↗0 ★GitHub

SaaS Communications & Analyst Relations

Plans communications and analyst-relations work while preserving approval and factual-evidence boundaries.

Marketing · Communications→
◇0 ★GitHub

Client-Centric Sales Proposal

Builds an evidence-led sales proposal around a client’s stated needs, value and approval path.

Sales · Sales Proposals→
◇0 ★GitHub

Prospect-Specific Sales Competitive Intelligence

Researches a prospect’s competitive context to prepare a factual sales strategy.

Sales · Competitive Intelligence→
◇0 ★GitHub

Sales Prospect Pipeline Report

Creates a reviewable prospect-pipeline report from supplied, authorized evidence.

Sales · Sales Operations→
◇0 ★GitHub

Post-Meeting Sales Follow-Up Playbook

Plans follow-up sequences after a sales meeting with consent, timing and value boundaries.

Sales · Sales Follow-Up→
◇0 ★GitHub

Sales Lead Qualification — BANT + MEDDIC

Structures a human-led lead qualification conversation using BANT and MEDDIC evidence.

Sales · Lead Qualification→
◇0 ★GitHub

Sales Meeting Preparation Brief

Prepares a factual, bounded brief for an authorized sales meeting.

Sales · Sales Preparation→
◇0 ★GitHub

Personalized Multi-Channel Sales Outreach

Drafts consent-aware, personalized outreach options across channels for human review.

Sales · Sales Outreach→
◇0 ★GitHub

Company & Firmographic Sales Research

Organizes public company and firmographic evidence for account research.

Sales · Account Research→
◇0 ★GitHub

Sales Objection Handling Playbook

Prepares evidence-based responses to sales objections for human review and conversation planning.

Sales · Sales Enablement→
◇0 ★GitHub

Buying Committee & Decision-Maker Intelligence

Maps an account’s decision process and stakeholders from authorized evidence.

Sales · Buying Committee→
◇0 ★GitHub

Sales ICP Builder — Actionable Outbound Targeting

Defines a testable sales ICP and account-selection criteria from business evidence.

Sales · Ideal Customer Profile→
·0 ★GitHub

YouTube Analytics & Channel Performance

Analyzes channel and video performance from user-supplied, authorized evidence.

Data & Analytics · Channel Analytics→
↗0 ★GitHub

ICP & Buyer Persona Builder

Builds a testable ICP and buyer-persona hypothesis from supplied evidence.

Marketing · Audience Definition→
↗0 ★GitHub

LinkedIn Ads Specialist

Plans LinkedIn advertising decisions and measurement without configuring campaigns.

Marketing · Paid Social→
↗0 ★GitHub

GEO Query Finder

Develops a research plan for AI-search and generative-engine queries.

Marketing · Generative Engine Optimization→
↗0 ★GitHub

Competitor Traffic & Authority Report

Structures a competitor traffic and authority assessment from authorized evidence.

Marketing · Competitor Research→
↗0 ★GitHub

Reddit Marketing & Community Presence

Plans a community-presence approach with platform, community and human-review boundaries.

Marketing · Community Marketing→
↗0 ★GitHub

Video Ad Creative Analysis

Analyzes supplied video-ad creative and produces reviewable improvement hypotheses.

Marketing · Creative Analysis→
↗0 ★GitHub

Backlink Profile Audit

Guides a backlink-profile assessment without accessing external SEO services.

Marketing · SEO Analysis→
↗0 ★GitHub

Google Search Console Operations

Plans Search Console analysis and operational decisions without OAuth or property changes.

Marketing · SEO Operations→
↗0 ★GitHub

SERP Analyzer

Structures a SERP analysis using user-supplied or authorized research evidence.

Marketing · SEO Research→
↗0 ★GitHub

Podcast Audio / Video Editing Workflow

Plans a podcast editing workflow without installation, transcription calls or media processing.

Marketing · Podcast Production→
↗0 ★GitHub

Brand Monitoring & Mention Tracking

Plans brand-mention monitoring and escalation criteria without provider API calls.

Marketing · Brand Monitoring→
◇0 ★GitHub

Sales Enablement Assets

Creates reviewable sales collateral from approved product and customer evidence.

Sales · Sales Enablement→
↗0 ★GitHub

Directory & Marketplace Submission Growth

Plans directory and marketplace distribution without submitting listings or contacting reviewers.

Marketing · Distribution→
↗0 ★GitHub

SMS / MMS Lifecycle Marketing

Plans consent-led SMS/MMS lifecycle communication without sending messages.

Marketing · Lifecycle Marketing→
↗0 ★GitHub

Marketing Council / Multi-Framework Review

Uses multiple marketing frameworks to create a bounded decision review.

Marketing · Marketing Strategy→
↗0 ★GitHub

Marketing Psychology & Mental Models

Applies marketing psychology as transparent, evidence-aware planning guidance.

Marketing · Marketing Strategy→
◇0 ★GitHub

Prospecting & ICP List Building

Builds a lawful, evidence-led prospecting and ICP research plan without scraping or outreach.

Sales · Ideal Customer Profile→
↗0 ★GitHub

AI Video Production Workflow

Plans AI video production without installing packages or invoking video services.

Marketing · Video Production→
↗0 ★GitHub

Comprehensive AARRR Marketing Plan

Builds a complete AARRR growth plan around evidence and accountable owners.

Marketing · Growth Strategy→
↗0 ★GitHub

Paid Acquisition — Google / Meta / LinkedIn

Plans paid acquisition across Google, Meta and LinkedIn without changing ad accounts.

Marketing · Paid Media→
◇0 ★GitHub

Revenue Operations (RevOps)

Guides revenue operations, lead lifecycle and marketing-to-sales handoffs.

Sales · Revenue Operations→
↗0 ★GitHub

Influencer & Creator Marketing

Plans creator partnerships with truthful claims and human approval boundaries.

Marketing · Creator Marketing→
↗0 ★GitHub

Marketing Loops / Always-On Growth

Designs ongoing growth loops without scheduling automations or external actions.

Marketing · Growth Strategy→
↗0 ★GitHub

DataForSEO Intelligence

Plan authorized SEO and search-visibility research with connected DataForSEO tools.

Marketing · SEO Intelligence→
↗0 ★GitHub

SEO Drift Monitoring

Monitor and triage meaningful SEO changes against an approved baseline.

Marketing · Technical SEO→
↗0 ★GitHub

Technical SEO Deep Audit

Organize a technical SEO audit from authorized site evidence.

Marketing · Technical SEO→
↗0 ★GitHub

E-Commerce SEO Intelligence

Plan e-commerce and marketplace SEO analysis from permitted evidence.

Marketing · E-Commerce SEO→
↗0 ★GitHub

Evidence-Led SEO Framework

Structure SEO decisions around dated evidence and measurable hypotheses.

Marketing · SEO Strategy→
↗0 ★GitHub

Backlink Intelligence

Analyze backlink evidence and formulate reviewable recommendations.

Marketing · Off-Page SEO→
↗0 ★GitHub

International SEO and Hreflang

Plan international SEO and hreflang review from actual site and market evidence.

Marketing · International SEO→
↗0 ★GitHub

Google SEO API Guidance

Plan authorized Google SEO API and Search Console analysis.

Marketing · SEO Operations→
↗0 ★GitHub

Search Experience Optimization

Plan search experience improvements using search and user evidence.

Marketing · SEO Strategy→
↗0 ★GitHub

SERP Topic Clustering

Cluster search topics from authorized SERP research.

Marketing · Content Strategy→
↗0 ★GitHub

Competitor Comparison Pages

Plan evidence-based competitor and alternatives pages without unsupported claims.

Marketing · Content Strategy→
◎0 ★GitHub

Continuous Learning

Plan continuous learning with explicit scope, evidence and human oversight.

Agents · Agent Improvement→
◎0 ★GitHub

Skill Stocktake

Plan skill stocktake with explicit scope, evidence and human oversight.

Agents · Capability Governance→
◎0 ★GitHub

Enterprise Agent Operations

Plan enterprise agent operations with explicit scope, evidence and human oversight.

Agents · Operations→
◎0 ★GitHub

Skill Compliance

Plan skill compliance with explicit scope, evidence and human oversight.

Agents · Governance→
◎0 ★GitHub

Operator Approval Loop

Plan operator approval loop with explicit scope, evidence and human oversight.

Agents · Human Oversight→
◎0 ★GitHub

Iterative Retrieval

Plan iterative retrieval with explicit scope, evidence and human oversight.

Agents · Retrieval→
◎0 ★GitHub

Agent Harness Construction

Plan agent harness construction with explicit scope, evidence and human oversight.

Agents · Agent Architecture→
↗0 ★GitHub

TikTok Shop Creator Management

Plan creator recruitment, briefing, approval and commission governance for a TikTok Shop.

Marketing · Social Commerce→
·0 ★GitHub

Dynamic Pricing for E-Commerce

Design bounded e-commerce repricing rules with floors, approvals, monitoring and rollback.

Business · Pricing→
↗0 ★GitHub

Digital Share of Shelf

Plan digital shelf visibility monitoring and competitor comparison for e-commerce categories.

Marketing · E-Commerce Analytics→
·0 ★GitHub

Cross-Border E-Commerce

Plan a phased cross-border e-commerce expansion using market, fulfillment and compliance inputs.

Business · E-Commerce Expansion→
↗0 ★GitHub

TikTok Shop Analytics

Plan TikTok Shop performance analysis across sales, content, live selling and creator activity.

Marketing · Social Commerce→
·0 ★GitHub

FLUX 3 Keyframes and Continuation

Plan a FLUX 3 image- or video-conditioned sequence with explicit continuity constraints.

Creative · AI Video→
·0 ★GitHub

FLUX 3 Cinematic Inserts

Write a bounded standalone FLUX 3 text-to-video shot prompt with a physical event and review criteria.

Creative · AI Video→
·0 ★GitHub

FLUX Image Prompting

Plan a FLUX image prompt with scene, style, lighting and model-selection considerations.

Creative · AI Images→
·0 ★GitHub

Seedance Continuation

Plan Seedance Continuation prompts and constraints for AI video work.

Creative · AI Video→
·0 ★GitHub

Seedance Multi-Clip Sequence

Plan Seedance Multi-Clip Sequence prompts and constraints for AI video work.

Creative · AI Video→
·0 ★GitHub

Seedance Character Consistency

Plan Seedance Character Consistency prompts and constraints for AI video work.

Creative · AI Video→
·0 ★GitHub

Seedance Camera Direction

Plan Seedance Camera Direction prompts and constraints for AI video work.

Creative · AI Video→
·0 ★GitHub

Seedance Art Direction

Plan Seedance Art Direction prompts and constraints for AI video work.

Creative · AI Video→
↗0 ★GitHub

Google Ads Performance Analysis

Analyse Google Ads Kampagnenleistung mit strukturierten Kennzahlen, Anomalien und Empfehlungen.

Marketing · Paid Search→
↗0 ★GitHub

Google Ads Math & Forecasting

Berechne Google-Ads-Kennzahlen und nachvollziehbare Budget- oder Conversion-Prognosen aus bereitgestellten Zahlen.

Marketing · Paid Search→
↗0 ★GitHub

Google Ads Account Audit

Strukturiere einen Google-Ads-Account-Audit über Tracking, Keywords, Anzeigen, Budget und Targeting.

Marketing · Paid Search→
·0 ★GitHub

TimesFM Zero-Shot Forecasting

Plan and evaluate zero-shot time-series forecasts with explicit limits and validation.

Data & Analytics · Forecasting→
·0 ★GitHub

Scientific Literature Review

Plan a reproducible literature review with scope, evidence limits and citation checks.

Research · Literature Review→
·0 ★GitHub

Evidence-Traceable Market Research

Structure evidence-traceable market research, sizing and scenario reports.

Business · Market Research→
·0 ★GitHub

Report Pack

Create a structured report pack from confirmed business inputs.

Business · Reporting→
◇0 ★GitHub

Sales Inbox Sweep

Triage sales inbox material into clear follow-up proposals.

Sales · Inbox Triage→
◇0 ★GitHub

Sales Objection Handling

Prepare evidence-led responses to sales objections.

Sales · Objection Handling→
◇0 ★GitHub

Sales Lead Routing

Propose a transparent routing decision for a sales lead.

Sales · Lead Routing→
◇0 ★GitHub

Sales CRM Hygiene Check

Review supplied CRM data for completeness and consistency.

Sales · CRM Quality→
◇0 ★GitHub

Sales Close Plan

Plan next decision steps for a sales opportunity.

Sales · Deal Planning→
◇0 ★GitHub

Outreach Composer

Draft an outreach plan and message options from approved inputs.

Sales · Outreach Planning→
◇0 ★GitHub

Sales Account Plan

Structure account planning around confirmed customer evidence.

Sales · Account Planning→
◇0 ★GitHub

Sales Opportunity Update

Prepare a factual opportunity update from supplied evidence.

Sales · Opportunity Management→
↗0 ★GitHub

SEO & AI Visibility

Review SEO and AI-search visibility opportunities with evidence boundaries.

Marketing · SEO→
·0 ★GitHub

Operations Status Report

Create a clear operational status report from confirmed inputs.

Business · Operations Reporting→
·0 ★GitHub

Compliance Check

Structure an internal compliance review around supplied rules and evidence.

Business · Compliance Review→
·0 ★GitHub

Design System Guidance

Plan or review a design-system workflow.

Design · Design Systems→
·0 ★GitHub

Customer Support Escalation

Structure a customer-support escalation with clear facts and owners.

Customer Support · Escalation→
·0 ★GitHub

Design Handoff

Prepare a clear design-to-development handoff.

Design · Handoff→
·0 ★GitHub

HR Policy Lookup

Organize a factual lookup of supplied HR policy information.

Business · HR Policy→
◇0 ★GitHub

Lead Triage

Triage supplied leads into transparent qualification proposals.

Sales · Lead Qualification→
↗0 ★GitHub

Dataslayer — Skill Trigger Eval

Evaluates whether a marketing skill is triggered by the right request and context.

Marketing · Skill Operations→
↗0 ★GitHub

Dataslayer — Skill Quality Audit

Audits a marketing skill for clarity, coverage, and usable operating guidance.

Marketing · Skill Operations→
↗0 ★GitHub

Dataslayer — Paid Media Audit

Reviews paid-media performance inputs and structures an audit.

Marketing · Paid Media→
↗0 ★GitHub

Dataslayer — Channel Report

Structures a cross-channel marketing performance report from supplied data.

Marketing · Marketing Reporting→
↗0 ★GitHub

Dataslayer — Marketing Brain

Guides marketing analysis and planning across supplied campaign and performance context.

Marketing · Marketing Intelligence→
↗0 ★GitHub

Dataslayer — Content Performance

Reviews content performance data to identify patterns and next actions.

Marketing · Content Analytics→
↗0 ★GitHub

Dataslayer — SEO Weekly

Structures a weekly SEO review from available search and performance data.

Marketing · SEO→
↗0 ★GitHub

Dataslayer — Skill Linter

Checks a marketing skill for structural and instruction-quality issues.

Marketing · Skill Operations→
↗0 ★GitHub

Dataslayer — Churn Signals

Identifies churn signals from supplied customer and performance context.

Marketing · Retention Analytics→
⌘0 ★GitHub

Anthropic System Design

Structures software system-design decisions, trade-offs, interfaces, and review questions.

Coding · System Architecture→
·0 ★GitHub

Anthropic Product Competitive Brief

Creates an evidence-led competitive brief for product decisions.

Product · Competitive Research→
◇0 ★GitHub

Anthropic Sales Forecast Narrative

Turns supplied pipeline context into a sales forecast narrative and decision brief.

Sales · Forecasting→
↗0 ★GitHub

Anthropic Marketing Competitive Brief

Builds a marketing competitive brief from supplied market evidence.

Marketing · Competitive Research→
∑0 ★GitHub

Anthropic SOX Testing

Guides SOX testing preparation and evidence-oriented control review.

Finance · Compliance→
↗0 ★GitHub

Anthropic Customer Reactivation

Plans a customer reactivation sequence from supplied customer context.

Marketing · Lifecycle→
·0 ★GitHub

Anthropic Enterprise Search Digest

Synthesizes supplied enterprise-search findings into a concise digest.

Research · Knowledge Management→
·0 ★GitHub

Anthropic Support Knowledge-Base Article

Drafts a support knowledge-base article from verified issue context.

Customer Support · Knowledge Base→
◇0 ★GitHub

Anthropic Expansion Whitespace

Guides expansion whitespace from supplied and authorized context.

Sales · Sales Operations→
·0 ★GitHub

Anthropic Vendor Check

Guides vendor check from supplied and authorized context.

Legal · Legal Operations→
·0 ★GitHub

Anthropic Ticket Triage

Guides ticket triage from supplied and authorized context.

Customer Support · Support Operations→
◇0 ★GitHub

Anthropic Call List

Guides call list from supplied and authorized context.

Sales · Sales Operations→
·0 ★GitHub

Anthropic Draft Offer

Guides draft offer from supplied and authorized context.

People · HR Operations→
·0 ★GitHub

Anthropic UX Copy

Guides ux copy from supplied and authorized context.

Design · Design Operations→
·0 ★GitHub

Anthropic Update

Guides update from supplied and authorized context.

Productivity · Work Management→
⌘0 ★GitHub

Anthropic Standup

Guides standup from supplied and authorized context.

Coding · Engineering Operations→
·0 ★GitHub

Apollo — Lead Enrichment

Guides apollo — lead enrichment from supplied and authorized context.

Business · Planning→
◇0 ★GitHub

Anthropic Speed to Lead

Guides speed to lead from supplied and authorized context.

Sales · Sales Operations→
◇0 ★GitHub

Anthropic Win/Loss Review

Guides win/loss review from supplied and authorized context.

Sales · Sales Operations→
·0 ★GitHub

Anthropic Work Router

Guides work router from supplied and authorized context.

Productivity · Work Management→
∑0 ★GitHub

Anthropic Financial Statements

Guides financial statements from supplied and authorized context.

Finance · Financial Operations→
·0 ★GitHub

Anthropic Business Pulse

Guides business pulse from supplied and authorized context.

Business · Planning→
·0 ★GitHub

Anthropic Critique

Guides critique from supplied and authorized context.

Design · Design Operations→
·0 ★GitHub

Anthropic Inventory Planner

Guides inventory planner from supplied and authorized context.

Business · Planning→
◇0 ★GitHub

Anthropic Schedule Meeting

Guides schedule meeting from supplied and authorized context.

Sales · Sales Operations→
◇0 ★GitHub

Anthropic Log Activity

Guides log activity from supplied and authorized context.

Sales · Sales Operations→
·0 ★GitHub

Anthropic Task Management

Guides task management from supplied and authorized context.

Productivity · Work Management→
⌘0 ★GitHub

Anthropic Deploy Checklist

Guides deploy checklist from supplied and authorized context.

Coding · Engineering Operations→
·0 ★GitHub

Anthropic Report Builder

Guides report builder from supplied and authorized context.

Business · Planning→
·0 ★GitHub

Anthropic Runbook

Guides runbook from supplied and authorized context.

Operations · Operations→
·0 ★GitHub

Anthropic Compensation Analysis

Guides compensation analysis from supplied and authorized context.

People · HR Operations→
·0 ★GitHub

Anthropic Process Documentation

Guides process documentation from supplied and authorized context.

Operations · Operations→
↗0 ★GitHub

Anthropic Review Reputation

Guides review reputation from supplied and authorized context.

Marketing · Lifecycle→
∑0 ★GitHub

Anthropic Journal Entry Prep

Guides journal entry prep from supplied and authorized context.

Finance · Financial Operations→
·0 ★GitHub

Anthropic Close Month

Guides close month from supplied and authorized context.

Business · Planning→
·0 ★GitHub

Anthropic Performance Review

Guides performance review from supplied and authorized context.

People · HR Operations→
∑0 ★GitHub

Anthropic Reconciliation

Guides reconciliation from supplied and authorized context.

Finance · Financial Operations→
·0 ★GitHub

Anthropic Lead Finder

Guides lead finder from supplied and authorized context.

Business · Planning→
·0 ★GitHub

Anthropic Contract Review

Guides contract review from supplied and authorized context.

Business · Planning→
⌘0 ★GitHub

Anthropic Tech Debt

Guides tech debt from supplied and authorized context.

Coding · Engineering Operations→
·0 ★GitHub

Anthropic Pay the Bills

Guides pay the bills from supplied and authorized context.

Business · Planning→
⌘0 ★GitHub

Anthropic Testing Strategy

Guides testing strategy from supplied and authorized context.

Coding · Engineering Operations→
·0 ★GitHub

Anthropic Risk Assessment

Guides risk assessment from supplied and authorized context.

Operations · Operations→
·0 ★GitHub

Anthropic Tax Prep

Guides tax prep from supplied and authorized context.

Business · Planning→
·0 ★GitHub

Anthropic Draft Response

Guides draft response from supplied and authorized context.

Customer Support · Support Operations→
◇0 ★GitHub

Anthropic End of Day

Guides end of day from supplied and authorized context.

Sales · Sales Operations→
·0 ★GitHub

Anthropic Onboard

Guides onboard from supplied and authorized context.

Business · Planning→
·0 ★GitHub

Anthropic Growth Pulse

Guides growth pulse from supplied and authorized context.

Business · Planning→
·0 ★GitHub

Anthropic People Report

Guides people report from supplied and authorized context.

People · HR Operations→
◇0 ★GitHub

Anthropic Call Prep

Guides call prep from supplied and authorized context.

Sales · Sales Operations→
·0 ★GitHub

Anthropic Capacity Plan

Guides capacity plan from supplied and authorized context.

Operations · Operations→
·0 ★GitHub

Anthropic Data — Write Query

Guides data — write query from supplied and authorized context.

Business · Planning→
·0 ★GitHub

Anthropic Recruiting Pipeline

Guides recruiting pipeline from supplied and authorized context.

People · HR Operations→
◇0 ★GitHub

Anthropic Draft Outreach

Guides draft outreach from supplied and authorized context.

Sales · Sales Operations→
◇0 ★GitHub

Anthropic Deal Signals

Guides deal signals from supplied and authorized context.

Sales · Sales Operations→
◇0 ★GitHub

Anthropic Deal Review

Guides deal review from supplied and authorized context.

Sales · Sales Operations→
·0 ★GitHub

Anthropic Data — Create Visualization

Guides data — create visualization from supplied and authorized context.

Business · Planning→
·0 ★GitHub

Anthropic Interview Prep

Guides interview prep from supplied and authorized context.

People · HR Operations→
⌘0 ★GitHub

Anthropic Debug

Guides debug from supplied and authorized context.

Coding · Engineering Operations→
·0 ★GitHub

Anthropic Process Optimization

Guides process optimization from supplied and authorized context.

Operations · Operations→
◇0 ★GitHub

Anthropic Deal Slip Scenario

Guides deal slip scenario from supplied and authorized context.

Sales · Sales Operations→
·0 ★GitHub

Anthropic User Research

Guides user research from supplied and authorized context.

Design · Design Operations→
·0 ★GitHub

Anthropic Brief

Guides brief from supplied and authorized context.

Legal · Legal Operations→
·0 ★GitHub

Anthropic Plan Payroll

Guides plan payroll from supplied and authorized context.

Business · Planning→
⌘0 ★GitHub

Anthropic Code Review

Guides code review from supplied and authorized context.

Coding · Engineering Operations→
·0 ★GitHub

Anthropic Employee Onboarding

Guides employee onboarding from supplied and authorized context.

People · HR Operations→
·0 ★GitHub

Anthropic Vendor Review

Guides vendor review from supplied and authorized context.

Operations · Operations→
·0 ★GitHub

Anthropic Data — Analyze

Guides data — analyze from supplied and authorized context.

Business · Planning→
·0 ★GitHub

Anthropic Customer Research

Guides customer research from supplied and authorized context.

Customer Support · Support Operations→
·0 ★GitHub

Anthropic Monday Brief

Guides monday brief from supplied and authorized context.

Business · Planning→
◇0 ★GitHub

Anthropic Pipeline Review

Guides pipeline review from supplied and authorized context.

Sales · Sales Operations→
·0 ★GitHub

Anthropic Build Connector

Guides build connector from supplied and authorized context.

Business · Planning→
◇0 ★GitHub

Anthropic Competitive Intelligence

Guides competitive intelligence from supplied and authorized context.

Sales · Sales Operations→
·0 ★GitHub

Anthropic Social Content Engine

Guides social content engine from supplied and authorized context.

Business · Planning→
◇0 ★GitHub

Anthropic Customer Health

Guides customer health from supplied and authorized context.

Sales · Sales Operations→
·0 ★GitHub

Anthropic Inbox Manager

Guides inbox manager from supplied and authorized context.

Business · Planning→
◇0 ★GitHub

Anthropic Renewal Radar

Guides renewal radar from supplied and authorized context.

Sales · Sales Operations→
⌘0 ★GitHub

Anthropic Architecture ADR

Guides architecture adr from supplied and authorized context.

Coding · Engineering Operations→
◇0 ★GitHub

Anthropic Customer Voice

Guides customer voice from supplied and authorized context.

Sales · Sales Operations→
·0 ★GitHub

Anthropic Accessibility Review

Guides accessibility review from supplied and authorized context.

Design · Design Operations→
·0 ★GitHub

Anthropic Payroll Prep

Guides payroll prep from supplied and authorized context.

Business · Planning→
◇0 ★GitHub

Anthropic Stakeholder Map

Guides stakeholder map from supplied and authorized context.

Sales · Sales Operations→
◇0 ★GitHub

Anthropic Deal Advance Gap

Guides deal advance gap from supplied and authorized context.

Sales · Sales Operations→
·0 ★GitHub

Anthropic Restock

Guides restock from supplied and authorized context.

Business · Planning→
·0 ★GitHub

Anthropic Grow Pipeline

Guides grow pipeline from supplied and authorized context.

Business · Planning→
·0 ★GitHub

Anthropic CRM Autopilot

Guides crm autopilot from supplied and authorized context.

Business · Planning→
·0 ★GitHub

Anthropic Start

Guides start from supplied and authorized context.

Productivity · Work Management→
·0 ★GitHub

Anthropic Change Request

Guides change request from supplied and authorized context.

Operations · Operations→
⌘0 ★GitHub

Anthropic Documentation

Guides documentation from supplied and authorized context.

Coding · Engineering Operations→
·0 ★GitHub

Anthropic Org Planning

Guides org planning from supplied and authorized context.

People · HR Operations→
◇0 ★GitHub

Anthropic Account Context

Guides account context from supplied and authorized context.

Sales · Sales Operations→
·0 ★GitHub

Anthropic AP Processor

Guides ap processor from supplied and authorized context.

Operations · Operations→
◇0 ★GitHub

Anthropic Account Tiering

Guides account tiering from supplied and authorized context.

Sales · Sales Operations→
◇0 ★GitHub

Anthropic Team Pipeline

Guides team pipeline from supplied and authorized context.

Sales · Sales Operations→
·0 ★GitHub

Anthropic Compliance Tracking

Guides compliance tracking from supplied and authorized context.

Operations · Operations→
◇0 ★GitHub

Anthropic Weekly Wrap

Guides weekly wrap from supplied and authorized context.

Sales · Sales Operations→
·0 ★GitHub

Anthropic Content Strategy

Guides content strategy from supplied and authorized context.

Business · Planning→
◇0 ★GitHub

Anthropic Rep Context

Guides rep context from supplied and authorized context.

Sales · Sales Operations→
·0 ★GitHub

Anthropic Research Synthesis

Guides research synthesis from supplied and authorized context.

Design · Design Operations→
·0 ★GitHub

Anthropic Cash Flow Snapshot

Guides cash flow snapshot from supplied and authorized context.

Business · Planning→
↗0 ★GitHub

Anthropic Marketing — Draft Content

Guides marketing — draft content from supplied and authorized context.

Marketing · Lifecycle→
·0 ★GitHub

Anthropic Signature Request

Guides signature request from supplied and authorized context.

Legal · Legal Operations→
·0 ★GitHub

Anthropic Data — SQL Queries

Guides data — sql queries from supplied and authorized context.

Business · Planning→
·0 ★GitHub

Anthropic Memory Management

Guides memory management from supplied and authorized context.

Productivity · Work Management→
∑0 ★GitHub

Anthropic Close Management

Guides close management from supplied and authorized context.

Finance · Financial Operations→
·0 ★GitHub

Apollo — ICP Prospecting

Guides apollo — icp prospecting from supplied and authorized context.

Business · Planning→
◇0 ★GitHub

Anthropic Setup

Guides setup from supplied and authorized context.

Sales · Sales Operations→
↗0 ★GitHub

Anthropic Marketing Monday

Guides marketing monday from supplied and authorized context.

Marketing · Lifecycle→
◇0 ★GitHub

Anthropic Create an Asset

Guides create an asset from supplied and authorized context.

Sales · Sales Operations→
·0 ★GitHub

Google GKE App Onboarding

Manages GKE application onboarding, covering containerization, deployment

Engineering · Cloud Operations→
·0 ★GitHub

Google BigQuery BigFrames

Generates Python code using BigQuery DataFrames (BigFrames). Use by default for any Python data task involving BigQuery, including data processing, analysis, and machine learning. Dont use for SQL-first workflows or the google-cloud-bi

Data & Analytics · Google Cloud Analytics→
·0 ★GitHub

Google GKE Observability

Configures GKE observability, including Cloud Logging, Cloud Monitoring, and

Engineering · Cloud Operations→
·0 ★GitHub

Google GKE Basics

Manages core GKE cluster provisioning, credentials, Autopilot vs Standard selection,

Engineering · Cloud Operations→
·0 ★GitHub

Google AlloyDB Basics

Manages clusters, instances, and backups for AlloyDB for PostgreSQL, and

Engineering · Cloud Databases→
·0 ★GitHub

Google DPoP Adoption

Implement and debug OAuth 2.0 DPoP (RFC 9449) refresh token sender-constraining

Engineering · Identity Security→
·0 ★GitHub

Google Cloud Spanner Basics

Assists in provisioning instances and databases, designing performant schemas, and querying data in Spanner. Use when designing primary keys, writing SQL queries or client library code, or diagnosing performance issues.

Engineering · Cloud Databases→
◎0 ★GitHub

Google GKE Inference

Deploys and optimizes AI/ML inference workloads on GKE, using GPUs, TPUs, and

Agents · Cloud AI Infrastructure→
·0 ★GitHub

Google GKE Manifest Generation

Generates and updates secure, production-ready Kubernetes YAML manifests optimized for GKE Autopilot and GKE Standard clusters. Use when creating or modifying GKE deployment manifests, configuring container security contexts, setting C

Engineering · Cloud Operations→
·0 ★GitHub

Google GKE Networking

Plans, configures, and manages core GKE cluster networking. Covers private

Engineering · Cloud Operations→
·0 ★GitHub

Google GKE Productionize

Orchestrates comprehensive production readiness reviews and assessments for GKE clusters and workloads across scalability, security, reliability, observability, backup/DR, and cost optimization. Use when asked to productionize, prepare

Engineering · Cloud Operations→
·0 ★GitHub

Google Bigtable Basics

Assists in provisioning instances/tables, designing performant schemas, and querying data in Bigtable. Use when designing Bigtable row keys, configuring column families, writing SQL queries or client library code (Java, Go, Python) for

Engineering · Cloud Databases→
·0 ★GitHub

Google Cloud Run Basics

Manages Cloud Run services, jobs, and worker pools. Use when you need to deploy applications

Engineering · Cloud Operations→
·0 ★GitHub

Google GKE Multitenancy

Plans and configures multi-tenancy on GKE. Covers namespace isolation, RBAC

Engineering · Cloud Operations→
·0 ★GitHub

Google GKE Storage

Manages GKE storage, including PVCs, PersistentVolumes, and Filestore. Use

Engineering · Cloud Operations→
·0 ★GitHub

Google Cloud SQL Basics

This file generates or explains Cloud SQL resources. Use this file when the

Engineering · Cloud Databases→
·0 ★GitHub

Google GKE Batch & HPC

Runs batch and HPC workloads on GKE, utilizing job queues and parallel

Engineering · Cloud Operations→
·0 ★GitHub

Google GKE Workload Security

Audits, configures, and hardens workload-level security controls for Google

Engineering · Cloud Security→
·0 ★GitHub

Google GKE Workload Scaling

Manages scaling for GKE workloads using HPA and VPA. Use when configuring

Engineering · Cloud Operations→
·0 ★GitHub

Google gcloud Operations

Provides safety-critical validation, guardrails, and data reduction for gcloud

Engineering · Cloud Operations→
·0 ★GitHub

Google GKE Service Networking

Configures GKE edge networking, traffic routing, load balancing, and private

Engineering · Cloud Operations→
·0 ★GitHub

Google BigQuery Basics

Manages datasets, tables, and jobs in BigQuery. Use when you need to interact

Data & Analytics · Google Cloud Analytics→
·0 ★GitHub

Google GKE Cost Analysis

Answer natural language questions and perform analysis on GKE cluster and

Engineering · Cloud Economics→
·0 ★GitHub

Google GKE Reliability

Improves GKE workload reliability, using PDBs, health probes, and topology

Engineering · Cloud Operations→
∑0 ★GitHub

Receipt Accounting

Receipt register: payer, mode, gross amount received, invoice allocation, unapplied amount and TDS collected. Use for receipt and sales-income accounting.

Finance · Financial Operations→
∑0 ★GitHub

Expense Management

Expense claim register: claim id, employee and department, amount and tax, approver and level, category, cost centre, budget line, receipt flag and status. Use for claim approvals.

Finance · Financial Operations→
∑0 ★GitHub

Audit Preparation

Audit preparation register: required document, period covered, request and receipt dates, preparer and reviewer, auditor queries and adjustments. Use for assembling an audit file.

Finance · Financial Operations→
·0 ★GitHub

Logistics Exception Management

Codified expertise for handling freight exceptions, shipment delays, damages, losses, and carrier disputes. Informed by logistics professionals with 15+ years operational experience.

Operations · Operations Management→
∑0 ★GitHub

Payment Accounting

Payment voucher register: payment number and date, paid to and purpose, mode, gross amount, TDS rate and deducted, net paid, invoice allocation, ledger and reconciliation status. Use for vouchers.

Finance · Financial Operations→
·0 ★GitHub

KPI Dashboard Design

Comprehensive patterns for designing effective Key Performance Indicator (KPI) dashboards that drive business decisions.

Business · Planning→
∑0 ★GitHub

Accounting Software Selection

Scores shortlisted accounting packages against 57 evidence-backed fields, emitted as CSV, SQL, JSON Schema or Notion on request. Use for choosing accounting software.

Finance · Financial Operations→
↗0 ★GitHub

GEO Prospect

CRM-lite for managing GEO agency prospects and clients.

Marketing · Growth Operations→
∑0 ★GitHub

Budget & Cash Flow

Budget against actual by department, category and period, with budget and actual amounts, variance, percentage used and linked expenses. Use for budget tracking or cash-flow reviews.

Finance · Financial Operations→
∑0 ★GitHub

Payroll Finance Register

Payroll register: employee, department and month, basic, DA, HRA and TA, bonus, deductions, net pay, pay period, payment date and method. Use for payroll records.

Finance · Financial Operations→
↗0 ★GitHub

Co-Marketing

When the user wants to find co-marketing partners, plan joint campaigns, or brainstorm partnership opportunities.

Marketing · Growth Operations→
∑0 ★GitHub

Salary & Wage Accounting

Payroll register: gross, allowances, TDS and provident fund deductions, net pay, payment date and statutory reconciliation. Use for salary accounting.

Finance · Financial Operations→
↗0 ★GitHub

Product Marketing Context

Create or update a reusable product marketing context document with positioning, audience, ICP, use cases, and messaging. Use at the start of a project to avoid repeating core marketing context across tasks.

Marketing · Growth Operations→
∑0 ★GitHub

Accounting Assurance System Builder

Routes an accounting or assurance request to the right module skill, from software selection through monthly closing, asking only what is missing. Use for books of accounts or assurance files.

Finance · Financial Operations→
·0 ★GitHub

Organization Design Register

Org structure register: department, type, parent, head, location, approved against actual headcount, annual budget, cost centre code and establishment date. Use for org design.

Business · Operations Design→
·0 ★GitHub

Startup Business Case

Generate comprehensive investor-ready business case document with

Business · Startup Planning→
◇0 ★GitHub

Sales Automator

Draft cold emails, follow-ups, and proposal templates. Creates pricing pages, case studies, and sales scripts. Use PROACTIVELY for sales outreach or lead nurturing.

Sales · Sales Operations→
·0 ★GitHub

Data Privacy Controls

Data privacy control register: data category, lawful basis, retention period, access roles, encryption and consent requirement per module. Use for GDPR compliance.

Business · Governance→
·0 ★GitHub

Policy Library

Policy register: name, version, category, owner and approver, applies to, compliance framework, acknowledgement requirement, effective date and next review. Use for policy management.

Business · Governance→
·0 ★GitHub

SOP Company Wiki

SOP and company wiki register: title, category, department, owner, version, priority and review dates. Use for process documentation.

Business · Operations Design→
↗0 ★GitHub

Pitch Psychologist

One sentence - what this skill does and when to invoke it

Marketing · Growth Operations→
·0 ★GitHub

Competitor Tracking

Systematic competitor analysis for developer tools. Track features, pricing, positioning, content strategy, and community sentiment for direct and indirect competitors.

Business · Market Intelligence→
↗0 ★GitHub

Public Relations

When the user wants help with public relations, earned media, press coverage, journalist outreach, or media strategy (not pull requests).

Marketing · Growth Operations→
↗0 ★GitHub

Open Source Marketing

When the user wants to market an open source project authentically. Trigger phrases include

Marketing · Growth Operations→
·0 ★GitHub

Access Matrix

Access matrix of role-by-module permissions, with per-role scope, confidentiality level and SME tier, as CSV, SQL, JSON Schema or Notion on request. Use for access reviews.

Business · Governance→
·0 ★GitHub

Knowledge Base Register

Knowledge base register: article title, category, department, owner, tags, summary, linked SOP, audience, last and next review dates and status. Use for documentation management.

Business · Operations Design→
·0 ★GitHub

Carrier Relationship Management

Codified expertise for managing carrier portfolios, negotiating freight rates, tracking carrier performance, allocating freight, and maintaining strategic carrier relationships.

Operations · Operations Management→
◇0 ★GitHub

Sales Enablement

Create sales collateral such as decks, one-pagers, objection docs, demo scripts, playbooks, and proposal templates. Use when a sales team needs assets that help reps move deals forward and close.

Sales · Sales Operations→
↗0 ★GitHub

Outbound Email Copy Guide

Write and refine outbound email copy and follow-up wording from supplied business context.

Marketing · Email Copywriting→
↗0 ★GitHub

SaaS Marketing Ideas Library

Guidance for saas marketing ideas library using supplied business context.

Marketing · Campaign Planning→
·0 ★GitHub

Marketing Attribution & Incrementality

Guidance for marketing attribution & incrementality using supplied business context.

Data & Analytics · Marketing Measurement→
↗0 ★GitHub

Marketing Copy Editing & Refresh

Guidance for marketing copy editing & refresh using supplied business context.

Marketing · Content Review→
↗0 ★GitHub

Conversion Copywriting

Guidance for conversion copywriting using supplied business context.

Marketing · Conversion Copywriting→
◎0 ★GitHub

Agent Evaluation & Regression Gates

Defines repeatable agent evaluations, regression gates, and release evidence.

Agents · Agent Evaluation→
·0 ★GitHub

Defensible A/B Testing

Plans interpretable A/B tests with clear hypotheses, metrics, sample rules, and decision criteria.

Data & Analytics · Experiment Design→
∑0 ★GitHub

Unit Economics

Structures unit-economics assumptions, contribution margins, acquisition cost and scenario decisions.

Finance · Unit Economics→
∑0 ★GitHub

Driver-Based Financial Model

Builds a driver-based operating model around explicit assumptions, cash flow, and scenarios.

Finance · Financial Modeling→
◎0 ★GitHub

Agent Safety Boundaries

Designs approval boundaries, scoped access, safe memory handling, and auditable agent actions.

Agents · Agent Safety→
·0 ★GitHub

AI & Cloud Cost Tracking

Designs usage metering, budget visibility, and cost guardrails for AI and cloud services.

Data & Analytics · Cost Management→
↗0 ★GitHub

Retention Program

Plans a retention program with customer signals, interventions, measurement, and learning loops.

Marketing · Customer Retention→
·0 ★GitHub

Governed Business Intelligence

Defines trustworthy business intelligence practices, metric governance, and decision-ready reporting.

Data & Analytics · Business Intelligence→
·0 ★GitHub

Decision Records

Creates clear decision records with context, alternatives, rationale, owners, and review triggers.

Business · Decision Making→
∑0 ★GitHub

Small Business Finance Operations

Structures practical finance-operations routines, controls, cash visibility, and review cadence.

Finance · Finance Operations→
·0 ★GitHub

Decision Challenge

Stress-tests a proposed decision by exposing assumptions, evidence gaps, alternatives, and risks.

Business · Decision Quality→
·0 ★GitHub

Logistics Operations

Maps logistics operations, service levels, exceptions, controls, and improvement priorities.

Operations · Logistics→
◇0 ★GitHub

Sales Pipeline Discipline

Creates disciplined sales-pipeline practices around definitions, evidence, review, and forecasting.

Sales · Pipeline Management→
∑0 ★GitHub

Defensible Forecasting

Builds defensible forecasts through explicit assumptions, scenario ranges, and ongoing review.

Finance · Forecasting→
·0 ★GitHub

Recurring Business Report Pack

Provides structured recurring business report pack guidance from the original Anthropic source.

Operations · Business Reporting→
◇0 ★GitHub

Sales Inbox Review

Provides structured sales inbox review guidance from the original Anthropic source.

Sales · Inbox Management→
◇0 ★GitHub

Handle Sales Objections

Provides structured handle sales objections guidance from the original Anthropic source.

Sales · Objection Handling→
◇0 ★GitHub

Route Sales Leads

Provides structured route sales leads guidance from the original Anthropic source.

Sales · Lead Routing→
◇0 ★GitHub

CRM Hygiene Check

Provides structured crm hygiene check guidance from the original Anthropic source.

Sales · CRM Data Quality→
◇0 ★GitHub

Deal Close Plan

Provides structured deal close plan guidance from the original Anthropic source.

Sales · Deal Strategy→
↗0 ★GitHub

Small Business Outreach Composer

Provides structured small business outreach composer guidance from the original Anthropic source.

Marketing · Outreach→
◇0 ★GitHub

Sales Account Plan

Provides structured sales account plan guidance from the original Anthropic source.

Sales · Account Planning→
◇0 ★GitHub

Update Sales Opportunity

Provides structured update sales opportunity guidance from the original Anthropic source.

Sales · Opportunity Management→
↗0 ★GitHub

SEO & AI Visibility

Provides structured seo & ai visibility guidance from the original Anthropic source.

Marketing · SEO→
·0 ★GitHub

Operations Status Report

Provides structured operations status report guidance from the original Anthropic source.

Operations · Status Reporting→
·0 ★GitHub

Compliance Check

Provides structured compliance check guidance from the original Anthropic source.

Business · Compliance→
·0 ★GitHub

Design System Guide

Provides structured design system guide guidance from the original Anthropic source.

Product · Design Systems→
·0 ★GitHub

Customer Escalation Brief

Provides structured customer escalation brief guidance from the original Anthropic source.

Customer Success · Customer Escalation→
·0 ★GitHub

Design Handoff

Provides structured design handoff guidance from the original Anthropic source.

Product · Design Handoff→
·0 ★GitHub

HR Policy Lookup

Provides structured hr policy lookup guidance from the original Anthropic source.

Operations · HR Policy→
◇0 ★GitHub

Small Business Lead Triage

Provides structured small business lead triage guidance from the original Anthropic source.

Sales · Lead Qualification→
·0 ★GitHub

Small Business Onboarding

Provides structured small business onboarding guidance from the original Anthropic source.

Business · Business Onboarding→
↗0 ★GitHub

Paid Ads Strategy

Provides structured paid ads strategy guidance from the original source.

Marketing · Paid Advertising→
↗0 ★GitHub

Onboarding Conversion Optimization

Provides structured onboarding conversion optimization guidance from the original source.

Marketing · Conversion Optimization→
↗0 ★GitHub

Campaign Analytics

Provides structured campaign analytics guidance from the original source.

Marketing · Marketing Analytics→
↗0 ★GitHub

SaaS Marketing Ideas

Provides structured saas marketing ideas guidance from the original source.

Marketing · Marketing Strategy→
↗0 ★GitHub

Webinar Marketing

Provides structured webinar marketing guidance from the original source.

Marketing · Webinar Marketing→
↗0 ★GitHub

Marketing A/B Test Setup

Provides structured marketing a/b test setup guidance from the original source.

Marketing · Experiment Design→
↗0 ★GitHub

YouTube Research & Monitoring

Provides structured youtube research & monitoring guidance from the original source.

Marketing · Content Research→
↗0 ★GitHub

Social Media Management

Provides structured social media management guidance from the original source.

Marketing · Social Media→
↗0 ★GitHub

Competitor Alternatives

Provides structured competitor alternatives guidance from the original source.

Marketing · Competitive Positioning→
↗0 ★GitHub

Conversion Copywriting

Provides structured conversion copywriting guidance from the original source.

Marketing · Copywriting→
↗0 ★GitHub

Launch Strategy

Provides structured launch strategy guidance from the original source.

Marketing · Product Launch→
↗0 ★GitHub

Social Content Planning

Provides structured social content planning guidance from the original source.

Marketing · Social Content→
↗0 ★GitHub

Analytics Tracking

Original Analytics Tracking guidance from the verified source.

Marketing · Marketing Operations→
↗0 ★GitHub

Content Strategy

Original Content Strategy guidance from the verified source.

Marketing · Marketing Operations→
↗0 ★GitHub

Programmatic Seo

Original Programmatic Seo guidance from the verified source.

Marketing · Marketing Operations→
↗0 ★GitHub

Marketing Context

Original Marketing Context guidance from the verified source.

Marketing · Marketing Operations→
↗0 ★GitHub

Cold Email

Original Cold Email guidance from the verified source.

Marketing · Marketing Operations→
↗0 ★GitHub

Copy Editing

Original Copy Editing guidance from the verified source.

Marketing · Marketing Operations→
↗0 ★GitHub

Brand Guidelines

Original Brand Guidelines guidance from the verified source.

Marketing · Marketing Operations→
↗0 ★GitHub

Ad Creative

Original Ad Creative guidance from the verified source.

Marketing · Marketing Operations→
↗0 ★GitHub

Content Production

Original Content Production guidance from the verified source.

Marketing · Marketing Operations→
↗0 ★GitHub

Schema Markup

Original Schema Markup guidance from the verified source.

Marketing · Marketing Operations→
↗0 ★GitHub

Seo Audit

Original Seo Audit guidance from the verified source.

Marketing · Marketing Operations→
↗0 ★GitHub

Cmo Review

Original Cmo Review guidance from the verified source.

Marketing · Marketing Operations→
↗0 ★GitHub

Shopify Upsell Cross Sell

Original Shopify Upsell Cross Sell guidance from the verified source.

Marketing · E-Commerce→
↗0 ★GitHub

Shopify Email Flows

Original Shopify Email Flows guidance from the verified source.

Marketing · E-Commerce→
↗0 ★GitHub

Ecommerce Feed Management

Original Ecommerce Feed Management guidance from the verified source.

Marketing · E-Commerce→
↗0 ★GitHub

Shopify Page Speed

Original Shopify Page Speed guidance from the verified source.

Marketing · E-Commerce→
↗0 ★GitHub

Shopify Loyalty Program

Original Shopify Loyalty Program guidance from the verified source.

Marketing · E-Commerce→
↗0 ★GitHub

Shopify Marketing

Original Shopify Marketing guidance from the verified source.

Marketing · E-Commerce→
↗0 ★GitHub

Customer Feedback Analysis

Original Customer Feedback Analysis guidance from the verified source.

Marketing · E-Commerce→
↗0 ★GitHub

Shopify International

Original Shopify International guidance from the verified source.

Marketing · E-Commerce→
↗0 ★GitHub

Shopify Wholesale Channel

Original Shopify Wholesale Channel guidance from the verified source.

Marketing · E-Commerce→
↗0 ★GitHub

Shopify Tax Compliance

Original Shopify Tax Compliance guidance from the verified source.

Marketing · E-Commerce→
↗0 ★GitHub

Shopify Migration

Original Shopify Migration guidance from the verified source.

Marketing · E-Commerce→
↗0 ★GitHub

Market Gap Analysis

Original Market Gap Analysis guidance from the verified source.

Marketing · E-Commerce→
↗0 ★GitHub

Shopify Cart Abandonment

Original Shopify Cart Abandonment guidance from the verified source.

Marketing · E-Commerce→
↗0 ★GitHub

Shopify Subscription Setup

Original Shopify Subscription Setup guidance from the verified source.

Marketing · E-Commerce→
↗0 ★GitHub

Shopify Google Channel

Original Shopify Google Channel guidance from the verified source.

Marketing · E-Commerce→
·0 ★GitHub

Enhance Skills

Guidance for enhance skills in an agent-assisted engineering workflow.

Engineering · Agent Development→
·0 ★GitHub

Orchestrated Code Review

Guidance for orchestrated code review in an agent-assisted engineering workflow.

Engineering · Agent Development→
·0 ★GitHub

Validate Delivery

Guidance for validate delivery in an agent-assisted engineering workflow.

Engineering · Agent Development→
·0 ★GitHub

Research Learning Guide

Guidance for research learning guide in an agent-assisted engineering workflow.

Engineering · Agent Development→
·0 ★GitHub

Structured Debate

Guidance for structured debate in an agent-assisted engineering workflow.

Engineering · Agent Development→
·0 ★GitHub

Cross-Tool Consultation

Guidance for cross-tool consultation in an agent-assisted engineering workflow.

Engineering · Agent Development→
·0 ★GitHub

Project Drift Analysis

Guidance for project drift analysis in an agent-assisted engineering workflow.

Engineering · Agent Development→
·0 ★GitHub

EU AI Act Readiness

Framework and guidance for eu ai act readiness.

Business · AI Governance→
·0 ★GitHub

Product Strategist

Framework and guidance for product strategist.

Product · Product Strategy→
·0 ★GitHub

Strategic Alignment

Framework and guidance for strategic alignment.

Business · Strategy→
·0 ★GitHub

COO Operations Leadership

Framework and guidance for coo operations leadership.

Operations · Operations Strategy→
·0 ★GitHub

Deep Research

Framework and guidance for deep research.

Research · Research Methods→
·0 ★GitHub

Product Manager Toolkit

Framework and guidance for product manager toolkit.

Product · Product Management→
·0 ★GitHub

Knowledge Operations

Framework and guidance for knowledge operations.

Operations · Knowledge Management→
·0 ★GitHub

Competitive Intelligence

Framework and guidance for competitive intelligence.

Research · Competitive Research→
↗0 ★GitHub

X Growth

Framework and guidance for x growth.

Marketing · Social Media→
↗0 ★GitHub

Referral Program

Framework and guidance for referral program.

Marketing · Growth→
◇0 ★GitHub

Sales Engineering

Framework and guidance for sales engineering.

Sales · Pre-Sales→
↗0 ★GitHub

Retention Journey Planner (Alireza)

Designs customer-retention journeys, trigger logic and programme planning; use the dedicated email-sequence skills for email-copy and welcome-series discovery.

Marketing · Retention Planning→
◇0 ★GitHub

Revenue Operations

Framework and guidance for revenue operations.

Sales · Revenue Operations→
↗0 ★GitHub

Pricing Strategy

Framework and guidance for pricing strategy.

Marketing · Pricing→
·0 ★GitHub

Product Analytics

Framework and guidance for product analytics.

Data & Analytics · Product Analytics→
↗0 ★GitHub

Churn Prevention

Framework and guidance for churn prevention.

Marketing · Retention→
↗0 ★GitHub

Site Architecture

Framework and guidance for site architecture.

Marketing · SEO→
↗0 ★GitHub

Marketing Psychology

Framework and guidance for marketing psychology.

Marketing · Marketing Strategy→
·0 ★GitHub

Company Operating System

Framework and guidance for company operating system.

Operations · Company Operations→
·0 ★GitHub

Company Context Engine

Framework and guidance for company context engine.

Business · Executive Operations→
↗0 ★GitHub

Business Name Fit

Framework and guidance for business name fit.

Marketing · Brand Strategy→
↗0 ★GitHub

Content Humanizer

Framework and guidance for content humanizer.

Marketing · Content Writing→
↗0 ★GitHub

Creative Director

Guidance for creative director in a Meta Ads workflow.

Marketing · Paid Media→
↗0 ★GitHub

Budget Pacer

Guidance for budget pacer in a Meta Ads workflow.

Marketing · Paid Media→
↗0 ★GitHub

Ad Angle Writer

Guidance for ad angle writer in a Meta Ads workflow.

Marketing · Paid Media→
↗0 ★GitHub

Meta Ad Fatigue Detector

Guidance for meta ad fatigue detector in a Meta Ads workflow.

Marketing · Paid Media→
↗0 ★GitHub

Daily Meta Ads Auditor

Guidance for daily meta ads auditor in a Meta Ads workflow.

Marketing · Paid Media→
↗0 ★GitHub

Pixel & Conversions

Guidance for pixel & conversions in a Meta Ads workflow.

Marketing · Paid Media→
↗0 ★GitHub

Catalog & Commerce

Guidance for catalog & commerce in a Meta Ads workflow.

Marketing · Paid Media→
↗0 ★GitHub

Audience Builder

Guidance for audience builder in a Meta Ads workflow.

Marketing · Paid Media→
↗0 ★GitHub

Pain to Promise

Guidance for pain to promise in a Meta Ads workflow.

Marketing · Paid Media→
↗0 ★GitHub

Buyer Language Miner

Guidance for buyer language miner in a Meta Ads workflow.

Marketing · Paid Media→
↗0 ★GitHub

Meta Media Buyer

Guidance for meta media buyer in a Meta Ads workflow.

Marketing · Paid Media→
↗0 ★GitHub

Meta Lead-Gen Builder

Guidance for meta lead-gen builder in a Meta Ads workflow.

Marketing · Paid Media→
↗0 ★GitHub

AI Search Optimization

Guidance for ai search optimization.

Marketing · SEO→
↗0 ★GitHub

SEO Content Brief

Guidance for seo content brief.

Marketing · SEO→
↗0 ★GitHub

SEO Work Orchestration

Guidance for seo work orchestration.

Marketing · SEO→
↗0 ★GitHub

SEO Quality Gates

Guidance for seo quality gates.

Marketing · SEO→
↗0 ★GitHub

Schema Builder

Guidance for schema builder.

Marketing · SEO→
↗0 ★GitHub

Technical SEO Audit

Guidance for technical seo audit.

Marketing · SEO→
·0 ★GitHub

UTM Attribution Strategy

Guidance for utm attribution strategy.

Data & Analytics · Attribution→
↗0 ★GitHub

llms.txt Strategy

Guidance for llms.txt strategy.

Marketing · AI Search→
·0 ★GitHub

Motion B-roll

Plans continuous motion-graphic B-roll clips timed to a talking-head video and transcript.

Creative · Video Production→
·0 ★GitHub

Shopify Admin Operator Guide

Routes planning questions for Shopify merchandising, customer support, marketing and store operations.

E-Commerce · Shopify Operations→
↗0 ★GitHub

SEO & GEO Audit

Structures a combined SEO and AI-search visibility audit with evidence, priorities and validation gaps.

Marketing · SEO→
·0 ★GitHub

Multi-Scene Story Generator

Plans a multi-scene multimedia storybook through a story bible, scene scripts and quality checkpoints.

Creative · Story Production→
·0 ★GitHub

Impeccable UI/UX Design Quality

Provides structured UI and UX design, critique and refinement guidance for digital interfaces.

Product · UI/UX Design→
·0 ★GitHub

Pre-Mortem Failure Analysis

Stress-tests a proposed plan by surfacing and prioritizing plausible failure modes before commitment.

Business · Decision Making→
·0 ★GitHub

Plan Selection Guide

Chooses among prewritten feasible plans under explicit constraints and acceptance criteria.

Product · Planning→
·0 ★GitHub

Test Prioritization Guide

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Task Packs

Marketing Foundation

Compact two-skill starter: clarify positioning and choose a lead magnet. Use Marketing Launch for the broader eight-skill go-to-market workflow.

Marketing Launch

Build an evidence-led marketing plan from ICP and competition through positioning, campaigns, growth and measurement.

Agent Audit Essentials

Diagnose architecture and context, plan agent-team responsibilities, then organize project context and session handoffs. Memory and cost-runtime reviews remain outside this pack.

Conversion and Activation Review

Review the journey from landing page and lead capture through registration, first value and transparent upgrades.

Campaign Content and Brand Review

Plan a campaign, draft its channel content and review the work against actual brand guidance.

Content and Launch Planning

Prioritize an editorial roadmap and plan how to launch and distribute it across suitable channels.

Customer, Market and Community Research

Understand customer needs, compare competitors and plan a community around real member value.

Lead Magnet to Lifecycle Nurture

Choose a relevant lead magnet, then draft a permission-based nurture journey with entry, suppression and exit rules.

API Contract and Observability

Define the API contract, then plan how to observe its latency, failures and retries. Guidance and checklist; no production changes.

Data Analysis Foundation

Profile a dataset, choose and interpret statistical methods, then validate calculations and conclusions before sharing.

B2B Outreach Foundation

Define the target account, prioritize buying signals, plan a human LinkedIn engagement routine and prepare evidence-led responses to buyer concerns.

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01 · Category
What the MCP returns at this step
124 · Business · Decision Making

Pre-Mortem Failure Analysis

Stress-tests a proposed plan by surfacing and prioritizing plausible failure modes before commitment.

premortemstrategyriskdecisionplanningfailure-analysislaunch
Premortem · Original SKILL.md
---
name: premortem
description: "Run a premortem on any plan, launch, product, hire, strategy, or decision. Assumes it already failed and works backward to find every reason why. Produces a revised plan with blind spots exposed, likelihood/impact scores on each failure mode, and a concrete committed action. MANDATORY TRIGGERS: 'premortem this', 'premortem my', 'run a premortem', 'what could kill this', 'future-proof this', 'stress test this plan', 'what am i missing here', 'find the blind spots'. STRONG TRIGGERS: 'what could go wrong', 'am i missing anything', 'poke holes in this', 'where will this break', 'devil's advocate this'. Do NOT trigger on simple feedback requests, factual questions, or LLM Council requests. DO trigger when someone has a plan or commitment where the cost of being wrong is high."
---

# Premortem

A premortem is the opposite of a postmortem. Instead of figuring out what went wrong after something fails, you imagine it already failed and figure out why before you start.

The method comes from psychologist Gary Klein. He published it in Harvard Business Review. Daniel Kahneman (the Nobel Prize-winning psychologist behind "Thinking, Fast and Slow") called it his single most valuable decision-making technique. Google, Goldman Sachs, and Procter & Gamble all use it before major decisions.

The core insight: when you ask people "what could go wrong?" they give you cautious, hedged answers. When you say "this already failed, tell me why," their brains switch into narrative mode and generate way more specific, creative, honest reasons. Researchers at Wharton and Cornell called this "prospective hindsight" and found it significantly increases the ability to identify causes of future outcomes.

The reason this matters for AI-assisted decisions: Claude defaults to agreeable, optimistic responses. If you ask "is this a good plan?" it will find reasons to say yes. The premortem breaks this pattern by forcing the frame into "this is dead, explain how it died." Claude stops looking for reasons your plan will work and starts explaining how it fell apart.

---

## when to run a premortem

Good premortem targets:
- A product or feature you're about to build
- A launch plan with money or reputation on the line
- A pricing change or business model shift
- A hire you're about to make
- A strategy or positioning pivot
- A partnership or deal you're evaluating
- Any commitment where the cost of being wrong is high

Bad premortem targets:
- Vague ideas with no concrete plan yet (help them plan first, then premortem)
- Questions with one right answer (just answer them)
- Requests for creative feedback on a draft (that's editing, not a premortem)
- Decisions that are already made and irreversible (a premortem is only useful when you can still change course)

---

## context gathering (the minimum bar)

A premortem is only as good as the context it runs on. Vague input produces vague failure scenarios that help nobody. Before running the premortem, you need to hit a minimum context threshold.

### step 1: scan for existing context

Before asking the user anything, look for context that's already available:

**A. The current conversation.** The user may have been discussing a plan, a launch, a product, or a decision earlier in this session. Read back through the conversation and extract whatever's relevant.

**B. The workspace.** Quickly scan for files that might contain relevant context:
- `CLAUDE.md` or `claude.md` (business context, preferences, constraints)
- Any `memory/` folder (audience profiles, business details, past decisions)
- Files the user explicitly referenced or attached
- Any project files, briefs, or plans that relate to the thing being premortemed

Use `Glob` and quick `Read` calls. Don't spend more than 30 seconds on this. You're looking for the key files that would ground the failure scenarios in reality.

### step 2: evaluate context sufficiency

After scanning, check whether you have enough to run a useful premortem. You need three things:

1. **What is it?** - A clear understanding of the thing being premortemed (a product, a launch, a hire, a pricing change, a strategy). You need to be able to describe it back to the user in one sentence.

2. **Who is it for / who does it affect?** - The audience, the customer, the team, the stakeholders. Failure scenarios depend heavily on who's involved.

3. **What does success look like?** - What outcome is the user hoping for? Failure is defined by inverting success. If you don't know what success means, you can't define what failure means.

### step 3: fill gaps conversationally

If you have all three, proceed immediately to the premortem. Don't ask unnecessary questions.

If you're missing one or more, ask for the most important missing piece first. One question at a time. Evaluate after each answer whether you now have enough. Keep asking until the threshold is met, but never ask more than you need.

Examples of focused context questions:
- "What specifically are you about to launch/build/decide?" (if you don't know what it is)
- "Who is this for?" (if you know the plan but not the audience)
- "What does a win look like for this?" (if you know the plan and audience but not the success criteria)

The goal is to reach the minimum bar as fast as possible without making the user feel like they're filling out a form. Conversational, not interrogative. If you can infer an answer from context, do that instead of asking.

---

## how a premortem session works

### step 1: set the frame

After gathering sufficient context, set the premortem frame explicitly. Something like:

"OK, I have enough context. Let's run the premortem. Here's the premise: it's 6 months from now. [The plan/launch/decision] has failed. It's done. We're looking back and trying to understand what went wrong."

This framing matters. It shifts the mode from "evaluate this plan" (which triggers agreeable responses) to "explain why this died" (which triggers honest, specific failure identification).

**Pick the right time horizon.** The default is 6 months, but match it to the plan:
- Product launch / pricing change → 3-6 months (enough time for market response)
- Hire → 12 months (enough time to see cultural fit and real performance)
- Strategy / positioning pivot → 12-18 months (enough time for compounding effects)
- Short campaign or feature ship → 4-8 weeks
- Partnership or deal → 12 months

Pick the horizon where "we'd definitely know if this failed." Too short and you get launch-day problems only. Too long and failures become speculative.

### step 2: generate failure reasons (raw premortem)

Run the raw premortem as a single comprehensive analysis. No prescribed categories, no lenses, no constraints. Just the core Klein method:

"This plan has failed [time horizon] from now. Generate every genuine reason it could have died. Be comprehensive. Be specific. Ground every reason in the actual details of the plan. Don't pad with weak reasons and don't stop early if there are more."

The output should be a comprehensive list of failure reasons, each stated in 1-2 sentences. Be honest and thorough. Some plans might have 4 genuine failure modes. Others might have 9. The number should be whatever is real for this specific plan.

**Balance exotic and boring failures.** A classic premortem trap is generating only creative failure modes (market shift, competitor attack, technology disruption) and missing the boring ones that actually kill most plans. Include at least 2 mundane failure modes drawn from these categories:
- The key person got sick, quit, or got distracted by a bigger priority
- The timeline slipped by 40% because of things nobody budgeted for
- The thing shipped but nobody noticed because distribution was an afterthought
- Motivation died somewhere between month 2 and month 4
- An unrelated life or business event ate the user's bandwidth

Base rates matter more than plot twists.

**Check coverage across external and internal causes.** Before finalizing the list, verify you have both:
- **External** failures: market, customers, competitors, regulation, timing, platform changes
- **Internal** failures: execution, team, motivation, scope, skills, operational capacity

If the list is all external ("the market wasn't ready") or all internal ("we'll get distracted"), you're missing half the picture. Push yourself on the weaker side.

Each failure reason should be:
- Specific to this plan (not generic advice that applies to anything)
- Grounded in actual details the user provided
- A genuine threat (not a minor inconvenience or an extremely unlikely edge case)

**Score each failure reason on two dimensions (1-5 each):**
- **Likelihood** - how probable is this given the plan's specifics, not in the abstract (1 = edge case, 5 = nearly certain unless mitigated)
- **Impact** - how much damage if it happens (1 = recoverable setback, 5 = kills the whole thing)

Show the scores to the user alongside each failure reason. The scores are not precision instruments - they're anchors that force explicit prioritization and give the user something concrete to push back on. If the user disagrees with a score, that's useful signal worth discussing.

### step 3: deep-dive agents (one per failure reason, all in parallel)

Take every failure reason from step 2 and spawn one sub-agent per reason, all in parallel. Each agent takes its assigned failure reason and goes deep on it independently.

**Sub-agent prompt template:**

```
You are an investigator in a premortem analysis. You've been assigned one specific failure reason to analyze in depth.

The plan:
---
[full context: what it is, who it's for, what success looks like, plus relevant workspace context]
---

PREMORTEM FRAME: It is [time horizon] from now. This plan has failed.

YOUR ASSIGNED FAILURE REASON: [the specific failure reason from step 2, with its likelihood and impact scores]

Your job is to go deep on this one failure. Write the story of how it actually played out. Be specific. Use details from the plan. Make it feel real, like a case study of something that actually happened.

Your output should include:

1. THE FAILURE STORY: A 2-3 paragraph narrative of how this specific failure played out. Use details from the plan. Name specific moments where things went wrong and why.

2. THE UNDERLYING ASSUMPTION: The one thing the user was taking for granted that made this failure possible. State it in one sentence.

3. EARLY WARNING SIGNS: 1-2 concrete, observable signals the user could watch for that would indicate this failure mode is starting to play out. These should be things you can actually see or measure, not vague feelings.

4. THE CHEAPEST MITIGATION: The single smallest, cheapest action the user could take this week that would meaningfully reduce this failure mode's likelihood or impact. Must be concrete and doable in under a week (not "build a dashboard," but "ask 3 existing customers if they'd pay this price by Friday").

Keep the total response under 350 words. Be direct. Don't hedge. Don't sugarcoat.
```

### step 4: synthesis

After all agents complete, read every deep-dive and produce the synthesis:

**PREMORTEM REPORT**

1. **The Most Likely Failure** - Which failure scenario is most probable given what you know about the plan? Why? This is the one the user should focus on first. Cite the likelihood score and the deep-dive agent's reasoning.

2. **The Most Dangerous Failure** - Which failure scenario would cause the most damage if it happened, even if it's less likely? This is the one worth insuring against. Cite the impact score and the deep-dive agent's reasoning.

3. **The Hidden Assumption** - Across all the failure analyses, what's the single biggest assumption the user is making that they probably haven't questioned? This is often where the real value of the premortem lives: the thing that's so obvious to the user that they forgot it was an assumption.

4. **The Revised Plan** - Based on the failure scenarios, what specific changes would make the plan more resilient? Be concrete. Don't say "consider your pricing." Say "test pricing at $X with 20 people before committing to it publicly." Each revision should map directly to a specific failure scenario.

5. **The Pre-Launch Checklist** - 3-5 specific things the user should verify, test, or put in place before executing. Each one should prevent or detect one of the failure modes identified.

6. **The Gap Check** - Before finalizing, explicitly name one category of failure this premortem likely didn't explore well (e.g., regulatory, reputational, second-order effects, emotional/motivational, knock-on effects on other commitments). Don't fully analyze it - just flag it as an open question for the user. This protects against the premortem's own blind spots. Perfect premortems don't exist; acknowledging this is more honest than pretending otherwise.

### step 5: the commitment ask

A premortem without a commitment is insight theatre. After presenting the synthesis, ask the user directly:

"Of the revisions above, which one are you actually going to do this week? Pick one. With a day attached."

Do not accept "all of them" - that's a signal that nothing will happen. Push for a single specific action with a specific day. If the user commits, record it in the transcript verbatim. If the user explicitly refuses to act on a specific failure reason (e.g., "I still think the pricing is fine"), record that too, with the failure reason they're dismissing and their stated rationale. This isn't about being combative - it's about creating a durable record so that if reality plays out the way the premortem predicted, the user can learn from it rather than re-narrate the past.

### step 6: generate the premortem report

Generate a visual HTML report and save it to the user's workspace.

**File:** `premortem-report-[timestamp].html`

The report should be a single self-contained HTML file with inline CSS. Design principles:
- Dark background (#0a0e1a or similar), clean typography, easy to scan
- The synthesis section (most likely failure, most dangerous failure, hidden assumption, revised plan, checklist, gap check, committed action) should be prominently displayed at the top since that's what most people will read first
- One visual card per failure reason showing the deep-dive analysis. Each card should display the failure reason as a header, likelihood and impact as visual badges/bars, the failure story, the underlying assumption, the early warning signs, and the cheapest mitigation. Use distinct accent colors for each card so they're visually scannable.
- A likelihood × impact quadrant chart positioning all failure modes on a 2D grid, so the user can instantly see which failures are in the top-right "priority" quadrant
- The round-robin visual: show the number of agents that ran and their findings as a grid or card layout, so the user can see the full scope of the premortem at a glance
- A prominent "committed action" banner showing what the user said they'd do this week (and by what day)
- Footer with timestamp and what was premortemed

Open the HTML file after generating it.

### step 7: save the transcript

Save the full premortem transcript as `premortem-transcript-[timestamp].md` in the same location. This includes:
- The context that was gathered (what, who, success criteria)
- The time horizon chosen and why
- The raw premortem failure reasons with their likelihood/impact scores
- All agent deep-dives
- The full synthesis including the gap check
- The user's committed action (or their explicit refusal, with the dismissed failure reason)

---

## output format

Every premortem session produces two files:

```
premortem-report-[timestamp].html    # visual report for scanning
premortem-transcript-[timestamp].md  # full transcript for reference
```

The user sees the HTML report first. The transcript is there if they want to dig deeper into the reasoning behind each failure scenario.

Also provide a concise summary in the chat: the most likely failure, the hidden assumption, the single most important revision, and the commitment ask. Four sentences max. The report has the full details.

---

## example: premortming a product launch

**User:** "premortem this: I'm about to launch a $297 live workshop on how to use Claude Cowork for marketing teams. 50 seats. Targeting marketing managers at companies with 10-50 employees."

**Time horizon chosen:** 4 months (long enough to see attendance, delivery, and first-wave reviews; short enough that the signal is about this specific launch).

**Raw premortem identifies 6 failure reasons (with L/I scores):**
1. Marketing managers at this company size need approval to spend $297 on professional development, adding friction you haven't accounted for [L:4, I:4]
2. "Claude Cowork for marketing" is a tool-specific pitch in a market where most managers are still figuring out whether AI is relevant to them at all [L:3, I:4]
3. The audience that actually buys might be solopreneurs, not team managers, creating a mismatch between content and attendees [L:4, I:5]
4. Building a workshop for marketing teams requires demo environments with realistic marketing data and multi-seat setups, which takes 5 weeks of prep, not the 2 you budgeted [L:5, I:3]
5. If 60% of attendees are solopreneurs, your reviews and case studies won't resonate with the marketing manager audience you need for future cohorts [L:3, I:5]
6. (Boring/internal) You lose 2-3 weeks to an unrelated client crisis between now and launch, and promotion never gets the attention it needs [L:3, I:4]

**6 agents go deep on each reason independently, producing failure stories, underlying assumptions, early warning signs, and cheapest mitigations.**

**Synthesis:** Most likely failure is the audience mismatch: you're targeting people who need approval to spend $297, which adds friction you haven't accounted for. Most dangerous failure: attracting solopreneurs instead of team managers means your case studies and testimonials won't resonate with the actual target buyer for future cohorts, compounding the problem over time. Hidden assumption: you're assuming "marketing managers at 10-50 person companies" is a reachable audience, but these people don't self-identify that way and don't hang out in the same places. Revised plan: run a $47 pilot session for 20 people first. Use that to identify whether your actual buyers are team managers or solopreneurs, and build the full workshop for whoever actually shows up. Gap check: this analysis didn't examine refund and reputation risk if the workshop underdelivers - flagged as an open question. **Committed action:** user commits to posting about the $47 pilot in 3 specific communities by Friday.

---

## important notes

- **Always spawn all failure agents in parallel.** Sequential spawning wastes time and lets earlier responses influence later ones.
- **Always set the premortem frame explicitly.** "This has already failed" is the psychological mechanism that makes this work. Without it, the analysis defaults to polite risk assessment instead of honest failure identification.
- **Be comprehensive but not padded.** Find every genuine failure reason. Don't stop at 3 if there are 7. But don't force 7 if there are only 3. The number should be whatever is real for this specific plan.
- **Always include at least 2 boring failures.** Exotic failure modes feel intellectually satisfying, but base rates kill more plans than plot twists. Key person distraction, timeline slippage, and "shipped but nobody noticed" are statistically more lethal than most market-shift scenarios.
- **Always check external-vs-internal balance.** If every failure mode is about the market or every failure mode is about execution, you're missing half the picture. Force coverage on the weaker side.
- **Always score likelihood and impact.** Scores turn subjective ranking into something visible. If the user disagrees with a score, that's high-value signal - dig in rather than defending the number.
- **The synthesis is the product.** Most users will read the synthesis and skim the individual failure cards. Make the synthesis specific and actionable.
- **Don't sugarcoat.** The whole point of a premortem is to tell the user things they don't want to hear before reality does. If a plan has serious problems, say so directly.
- **The revised plan must be concrete.** Don't say "consider testing your pricing." Say "run a $47 pilot with 20 people before committing to the full $297 workshop." Every revision should be something the user can actually do this week.
- **Always push for a commitment.** Insight without action is entertainment. A premortem that ends with "good luck!" has failed its job. One concrete action with a day attached beats a comprehensive plan the user never starts.
- **Record refusals, not just commitments.** If the user explicitly dismisses a failure mode, log it with their stated reasoning. This isn't combative - it's epistemic hygiene. If the dismissed failure later materializes, the record prevents post-hoc rationalization and enables real learning.
- **Always do the gap check.** Before calling the premortem done, name one category of failure the analysis likely missed. Perfect premortems don't exist.
- **Respect the minimum context threshold.** Running a premortem on insufficient context produces generic failures that waste the user's time. It's better to ask one more question than to produce a bad premortem.
- **This is not the LLM Council.** The council gives multiple perspectives on a decision right now. The premortem sends Claude into the future where the decision already failed and works backward to explain why. Different psychological mechanism, different output. If the user seems to want multiple perspectives rather than failure analysis, suggest the council instead.

When to use

Use before a consequential launch, strategy, hire, partnership, pricing or product decision.

Requirements

A concrete decision, intended outcome and relevant context.

Delivery and review notes

Published as attributed GPL-3.0 source text after an obvious-danger screen, not functional validation. Loading this original does not authorize reading local files, spawning agents, external research, changes, publication or external writes.

Starting prompt

Use Pre-Mortem Failure Analysis for [DECISION]. Identify plan-specific failure modes, rate likelihood and impact as reasoned estimates, then propose mitigation choices. Do not inspect local files, spawn agents, run tools, research externally or take action.

Not for

Replacing legal, financial, clinical or security advice; external research, file access, agent orchestration or irreversible decisions.

What M11 added

M11 added German routing and a no-execution boundary while preserving the MADEVAL GPL-3.0 source unchanged. Loading this original does not authorize local file access, agent orchestration, tool use, external research, publication or external writes.

Original authorship remains with MADEVAL/Pre-Mortem-Skill · Original source ↗
Original license & copyright
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                       Version 3, 29 June 2007

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measure under any applicable law fulfilling obligations under article
11 of the WIPO copyright treaty adopted on 20 December 1996, or
similar laws prohibiting or restricting circumvention of such
measures.

  When you convey a covered work, you waive any legal power to forbid
circumvention of technological measures to the extent such circumvention
is effected by exercising rights under this License with respect to
the covered work, and you disclaim any intention to limit operation or
modification of the work as a means of enforcing, against the work's
users, your or third parties' legal rights to forbid circumvention of
technological measures.

  4. Conveying Verbatim Copies.

  You may convey verbatim copies of the Program's source code as you
receive it, in any medium, provided that you conspicuously and
appropriately publish on each copy an appropriate copyright notice;
keep intact all notices stating that this License and any
non-permissive terms added in accord with section 7 apply to the code;
keep intact all notices of the absence of any warranty; and give all
recipients a copy of this License along with the Program.

  You may charge any price or no price for each copy that you convey,
and you may offer support or warranty protection for a fee.

  5. Conveying Modified Source Versions.

  You may convey a work based on the Program, or the modifications to
produce it from the Program, in the form of source code under the
terms of section 4, provided that you also meet all of these conditions:

    a) The work must carry prominent notices stating that you modified
    it, and giving a relevant date.

    b) The work must carry prominent notices stating that it is
    released under this License and any conditions added under section
    7.  This requirement modifies the requirement in section 4 to
    "keep intact all notices".

    c) You must license the entire work, as a whole, under this
    License to anyone who comes into possession of a copy.  This
    License will therefore apply, along with any applicable section 7
    additional terms, to the whole of the work, and all its parts,
    regardless of how they are packaged.  This License gives no
    permission to license the work in any other way, but it does not
    invalidate such permission if you have separately received it.

    d) If the work has interactive user interfaces, each must display
    Appropriate Legal Notices; however, if the Program has interactive
    interfaces that do not display Appropriate Legal Notices, your
    work need not make them do so.

  A compilation of a covered work with other separate and independent
works, which are not by their nature extensions of the covered work,
and which are not combined with it such as to form a larger program,
in or on a volume of a storage or distribution medium, is called an
"aggregate" if the compilation and its resulting copyright are not
used to limit the access or legal rights of the compilation's users
beyond what the individual works permit.  Inclusion of a covered work
in an aggregate does not cause this License to apply to the other
parts of the aggregate.

  6. Conveying Non-Source Forms.

  You may convey a covered work in object code form under the terms
of sections 4 and 5, provided that you also convey the
machine-readable Corresponding Source under the terms of this License,
in one of these ways:

    a) Convey the object code in, or embodied in, a physical product
    (including a physical distribution medium), accompanied by the
    Corresponding Source fixed on a durable physical medium
    customarily used for software interchange.

    b) Convey the object code in, or embodied in, a physical product
    (including a physical distribution medium), accompanied by a
    written offer, valid for at least three years and valid for as
    long as you offer spare parts or customer support for that product
    model, to give anyone who possesses the object code either (1) a
    copy of the Corresponding Source for all the software in the
    product that is covered by this License, on a durable physical
    medium customarily used for software interchange, for a price no
    more than your reasonable cost of physically performing this
    conveying of source, or (2) access to copy the
    Corresponding Source from a network server at no charge.

    c) Convey individual copies of the object code with a copy of the
    written offer to provide the Corresponding Source.  This
    alternative is allowed only occasionally and noncommercially, and
    only if you received the object code with such an offer, in accord
    with subsection 6b.

    d) Convey the object code by offering access from a designated
    place (gratis or for a charge), and offer equivalent access to the
    Corresponding Source in the same way through the same place at no
    further charge.  You need not require recipients to copy the
    Corresponding Source along with the object code.  If the place to
    copy the object code is a network server, the Corresponding Source
    may be on a different server (operated by you or a third party)
    that supports equivalent copying facilities, provided you maintain
    clear directions next to the object code saying where to find the
    Corresponding Source.  Regardless of what server hosts the
    Corresponding Source, you remain obligated to ensure that it is
    available for as long as needed to satisfy these requirements.

    e) Convey the object code using peer-to-peer transmission, provided
    you inform other peers where the object code and Corresponding
    Source of the work are being offered to the general public at no
    charge under subsection 6d.

  A separable portion of the object code, whose source code is excluded
from the Corresponding Source as a System Library, need not be
included in conveying the object code work.

  A "User Product" is either (1) a "consumer product", which means any
tangible personal property which is normally used for personal, family,
or household purposes, or (2) anything designed or sold for incorporation
into a dwelling.  In determining whether a product is a consumer product,
doubtful cases shall be resolved in favor of coverage.  For a particular
product received by a particular user, "normally used" refers to a
typical or common use of that class of product, regardless of the status
of the particular user or of the way in which the particular user
actually uses, or expects or is expected to use, the product.  A product
is a consumer product regardless of whether the product has substantial
commercial, industrial or non-consumer uses, unless such uses represent
the only significant mode of use of the product.

  "Installation Information" for a User Product means any methods,
procedures, authorization keys, or other information required to install
and execute modified versions of a covered work in that User Product from
a modified version of its Corresponding Source.  The information must
suffice to ensure that the continued functioning of the modified object
code is in no case prevented or interfered with solely because
modification has been made.

  If you convey an object code work under this section in, or with, or
specifically for use in, a User Product, and the conveying occurs as
part of a transaction in which the right of possession and use of the
User Product is transferred to the recipient in perpetuity or for a
fixed term (regardless of how the transaction is characterized), the
Corresponding Source conveyed under this section must be accompanied
by the Installation Information.  But this requirement does not apply
if neither you nor any third party retains the ability to install
modified object code on the User Product (for example, the work has
been installed in ROM).

  The requirement to provide Installation Information does not include a
requirement to continue to provide support service, warranty, or updates
for a work that has been modified or installed by the recipient, or for
the User Product in which it has been modified or installed.  Access to a
network may be denied when the modification itself materially and
adversely affects the operation of the network or violates the rules and
protocols for communication across the network.

  Corresponding Source conveyed, and Installation Information provided,
in accord with this section must be in a format that is publicly
documented (and with an implementation available to the public in
source code form), and must require no special password or key for
unpacking, reading or copying.

  7. Additional Terms.

  "Additional permissions" are terms that supplement the terms of this
License by making exceptions from one or more of its conditions.
Additional permissions that are applicable to the entire Program shall
be treated as though they were included in this License, to the extent
that they are valid under applicable law.  If additional permissions
apply only to part of the Program, that part may be used separately
under those permissions, but the entire Program remains governed by
this License without regard to the additional permissions.

  When you convey a copy of a covered work, you may at your option
remove any additional permissions from that copy, or from any part of
it.  (Additional permissions may be written to require their own
removal in certain cases when you modify the work.)  You may place
additional permissions on material, added by you to a covered work,
for which you have or can give appropriate copyright permission.

  Notwithstanding any other provision of this License, for material you
add to a covered work, you may (if authorized by the copyright holders of
that material) supplement the terms of this License with terms:

    a) Disclaiming warranty or limiting liability differently from the
    terms of sections 15 and 16 of this License; or

    b) Requiring preservation of specified reasonable legal notices or
    author attributions in that material or in the Appropriate Legal
    Notices displayed by works containing it; or

    c) Prohibiting misrepresentation of the origin of that material, or
    requiring that modified versions of such material be marked in
    reasonable ways as different from the original version; or

    d) Limiting the use for publicity purposes of names of licensors or
    authors of the material; or

    e) Declining to grant rights under trademark law for use of some
    trade names, trademarks, or service marks; or

    f) Requiring indemnification of licensors and authors of that
    material by anyone who conveys the material (or modified versions of
    it) with contractual assumptions of liability to the recipient, for
    any liability that these contractual assumptions directly impose on
    those licensors and authors.

  All other non-permissive additional terms are considered "further
restrictions" within the meaning of section 10.  If the Program as you
received it, or any part of it, contains a notice stating that it is
governed by this License along with a term that is a further
restriction, you may remove that term.  If a license document contains
a further restriction but permits relicensing or conveying under this
License, you may add to a covered work material governed by the terms
of that license document, provided that the further restriction does
not survive such relicensing or conveying.

  If you add terms to a covered work in accord with this section, you
must place, in the relevant source files, a statement of the
additional terms that apply to those files, or a notice indicating
where to find the applicable terms.

  Additional terms, permissive or non-permissive, may be stated in the
form of a separately written license, or stated as exceptions;
the above requirements apply either way.

  8. Termination.

  You may not propagate or modify a covered work except as expressly
provided under this License.  Any attempt otherwise to propagate or
modify it is void, and will automatically terminate your rights under
this License (including any patent licenses granted under the third
paragraph of section 11).

  However, if you cease all violation of this License, then your
license from a particular copyright holder is reinstated (a)
provisionally, unless and until the copyright holder explicitly and
finally terminates your license, and (b) permanently, if the copyright
holder fails to notify you of the violation by some reasonable means
prior to 60 days after the cessation.

  Moreover, your license from a particular copyright holder is
reinstated permanently if the copyright holder notifies you of the
violation by some reasonable means, this is the first time you have
received notice of violation of this License (for any work) from that
copyright holder, and you cure the violation prior to 30 days after
your receipt of the notice.

  Termination of your rights under this section does not terminate the
licenses of parties who have received copies or rights from you under
this License.  If your rights have been terminated and not permanently
reinstated, you do not qualify to receive new licenses for the same
material under section 10.

  9. Acceptance Not Required for Having Copies.

  You are not required to accept this License in order to receive or
run a copy of the Program.  Ancillary propagation of a covered work
occurring solely as a consequence of using peer-to-peer transmission
to receive a copy likewise does not require acceptance.  However,
nothing other than this License grants you permission to propagate or
modify any covered work.  These actions infringe copyright if you do
not accept this License.  Therefore, by modifying or propagating a
covered work, you indicate your acceptance of this License to do so.

  10. Automatic Licensing of Downstream Recipients.

  Each time you convey a covered work, the recipient automatically
receives a license from the original licensors, to run, modify and
propagate that work, subject to this License.  You are not responsible
for enforcing compliance by third parties with this License.

  An "entity transaction" is a transaction transferring control of an
organization, or substantially all assets of one, or subdividing an
organization, or merging organizations.  If propagation of a covered
work results from an entity transaction, each party to that
transaction who receives a copy of the work also receives whatever
licenses to the work the party's predecessor in interest had or could
give under the previous paragraph, plus a right to possession of the
Corresponding Source of the work from the predecessor in interest, if
the predecessor has it or can get it with reasonable efforts.

  You may not impose any further restrictions on the exercise of the
rights granted or affirmed under this License.  For example, you may
not impose a license fee, royalty, or other charge for exercise of
rights granted under this License, and you may not initiate litigation
(including a cross-claim or counterclaim in a lawsuit) alleging that
any patent claim is infringed by making, using, selling, offering for
sale, or importing the Program or any portion of it.

  11. Patents.

  A "contributor" is a copyright holder who authorizes use under this
License of the Program or a work on which the Program is based.  The
work thus licensed is called the contributor's "contributor version".

  A contributor's "essential patent claims" are all patent claims
owned or controlled by the contributor, whether already acquired or
hereafter acquired, that would be infringed by some manner, permitted
by this License, of making, using, or selling its contributor version,
but do not include claims that would be infringed only as a
consequence of further modification of the contributor version.  For
purposes of this definition, "control" includes the right to grant
patent sublicenses in a manner consistent with the requirements of
this License.

  Each contributor grants you a non-exclusive, worldwide, royalty-free
patent license under the contributor's essential patent claims, to
make, use, sell, offer for sale, import and otherwise run, modify and
propagate the contents of its contributor version.

  In the following three paragraphs, a "patent license" is any express
agreement or commitment, however denominated, not to enforce a patent
(such as an express permission to practice a patent or covenant not to
sue for patent infringement).  To "grant" such a patent license to a
party means to make such an agreement or commitment not to enforce a
patent against the party.

  If you convey a covered work, knowingly relying on a patent license,
and the Corresponding Source of the work is not available for anyone
to copy, free of charge and under the terms of this License, through a
publicly available network server or other readily accessible means,
then you must either (1) cause the Corresponding Source to be so
available, or (2) arrange to deprive yourself of the benefit of the
patent license for this particular work, or (3) arrange, in a manner
consistent with the requirements of this License, to extend the patent
license to downstream recipients.  "Knowingly relying" means you have
actual knowledge that, but for the patent license, your conveying the
covered work in a country, or your recipient's use of the covered work
in a country, would infringe one or more identifiable patents in that
country that you have reason to believe are valid.

  If, pursuant to or in connection with a single transaction or
arrangement, you convey, or propagate by procuring conveyance of, a
covered work, and grant a patent license to some of the parties
receiving the covered work authorizing them to use, propagate, modify
or convey a specific copy of the covered work, then the patent license
you grant is automatically extended to all recipients of the covered
work and works based on it.

  A patent license is "discriminatory" if it does not include within
the scope of its coverage, prohibits the exercise of, or is
conditioned on the non-exercise of one or more of the rights that are
specifically granted under this License.  You may not convey a covered
work if you are a party to an arrangement with a third party that is
in the business of distributing software, under which you make payment
to the third party based on the extent of your activity of conveying
the work, and under which the third party grants, to any of the
parties who would receive the covered work from you, a discriminatory
patent license (a) in connection with copies of the covered work
conveyed by you (or copies made from those copies), or (b) primarily
for and in connection with specific products or compilations that
contain the covered work, unless you entered into that arrangement,
or that patent license was granted, prior to 28 March 2007.

  Nothing in this License shall be construed as excluding or limiting
any implied license or other defenses to infringement that may
otherwise be available to you under applicable patent law.

  12. No Surrender of Others' Freedom.

  If conditions are imposed on you (whether by court order, agreement or
otherwise) that contradict the conditions of this License, they do not
excuse you from the conditions of this License.  If you cannot convey a
covered work so as to satisfy simultaneously your obligations under this
License and any other pertinent obligations, then as a consequence you may
not convey it at all.  For example, if you agree to terms that obligate you
to collect a royalty for further conveying from those to whom you convey
the Program, the only way you could satisfy both those terms and this
License would be to refrain entirely from conveying the Program.

  13. Use with the GNU Affero General Public License.

  Notwithstanding any other provision of this License, you have
permission to link or combine any covered work with a work licensed
under version 3 of the GNU Affero General Public License into a single
combined work, and to convey the resulting work.  The terms of this
License will continue to apply to the part which is the covered work,
but the special requirements of the GNU Affero General Public License,
section 13, concerning interaction through a network will apply to the
combination as such.

  14. Revised Versions of this License.

  The Free Software Foundation may publish revised and/or new versions of
the GNU General Public License from time to time.  Such new versions will
be similar in spirit to the present version, but may differ in detail to
address new problems or concerns.

  Each version is given a distinguishing version number.  If the
Program specifies that a certain numbered version of the GNU General
Public License "or any later version" applies to it, you have the
option of following the terms and conditions either of that numbered
version or of any later version published by the Free Software
Foundation.  If the Program does not specify a version number of the
GNU General Public License, you may choose any version ever published
by the Free Software Foundation.

  If the Program specifies that a proxy can decide which future
versions of the GNU General Public License can be used, that proxy's
public statement of acceptance of a version permanently authorizes you
to choose that version for the Program.

  Later license versions may give you additional or different
permissions.  However, no additional obligations are imposed on any
author or copyright holder as a result of your choosing to follow a
later version.

  15. Disclaimer of Warranty.

  THERE IS NO WARRANTY FOR THE PROGRAM, TO THE EXTENT PERMITTED BY
APPLICABLE LAW.  EXCEPT WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT
HOLDERS AND/OR OTHER PARTIES PROVIDE THE PROGRAM "AS IS" WITHOUT WARRANTY
OF ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING, BUT NOT LIMITED TO,
THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
PURPOSE.  THE ENTIRE RISK AS TO THE QUALITY AND PERFORMANCE OF THE PROGRAM
IS WITH YOU.  SHOULD THE PROGRAM PROVE DEFECTIVE, YOU ASSUME THE COST OF
ALL NECESSARY SERVICING, REPAIR OR CORRECTION.

  16. Limitation of Liability.

  IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING
WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MODIFIES AND/OR CONVEYS
THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY
GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE
USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF
DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD
PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS),
EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF
SUCH DAMAGES.

  17. Interpretation of Sections 15 and 16.

  If the disclaimer of warranty and limitation of liability provided
above cannot be given local legal effect according to their terms,
reviewing courts shall apply local law that most closely approximates
an absolute waiver of all civil liability in connection with the
Program, unless a warranty or assumption of liability accompanies a
copy of the Program in return for a fee.

                     END OF TERMS AND CONDITIONS

            How to Apply These Terms to Your New Programs

  If you develop a new program, and you want it to be of the greatest
possible use to the public, the best way to achieve this is to make it
free software which everyone can redistribute and change under these terms.

  To do so, attach the following notices to the program.  It is safest
to attach them to the start of each source file to most effectively
state the exclusion of warranty; and each file should have at least
the "copyright" line and a pointer to where the full notice is found.

    <one line to give the program's name and a brief idea of what it does.>
    Copyright (C) <year>  <name of author>

    This program is free software: you can redistribute it and/or modify
    it under the terms of the GNU General Public License as published by
    the Free Software Foundation, either version 3 of the License, or
    (at your option) any later version.

    This program is distributed in the hope that it will be useful,
    but WITHOUT ANY WARRANTY; without even the implied warranty of
    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
    GNU General Public License for more details.

    You should have received a copy of the GNU General Public License
    along with this program.  If not, see <https://www.gnu.org/licenses/>.

Also add information on how to contact you by electronic and paper mail.

  If the program does terminal interaction, make it output a short
notice like this when it starts in an interactive mode:

    <program>  Copyright (C) <year>  <name of author>
    This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'.
    This is free software, and you are welcome to redistribute it
    under certain conditions; type `show c' for details.

The hypothetical commands `show w' and `show c' should show the appropriate
parts of the General Public License.  Of course, your program's commands
might be different; for a GUI interface, you would use an "about box".

  You should also get your employer (if you work as a programmer) or school,
if any, to sign a "copyright disclaimer" for the program, if necessary.
For more information on this, and how to apply and follow the GNU GPL, see
<https://www.gnu.org/licenses/>.

  The GNU General Public License does not permit incorporating your program
into proprietary programs.  If your program is a subroutine library, you
may consider it more useful to permit linking proprietary applications with
the library.  If this is what you want to do, use the GNU Lesser General
Public License instead of this License.  But first, please read
<https://www.gnu.org/licenses/why-not-lgpl.html>.
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