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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

Apify Lead Generation

Plan public-source lead research through Apify; this does not authorize outreach.

Sales · Lead Research→
◎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

Apify Influencer Discovery

Plan public-source influencer discovery and evaluation; no outreach is sent.

Marketing · Creator Research→
·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

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

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

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

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

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

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

Business · Marketing Operations→
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Frames partnership and ecosystem decisions for SaaS with scope, evidence and ownership.

Marketing · Partnership Marketing→
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Plans communications and analyst-relations work while preserving approval and factual-evidence boundaries.

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

Sales · Sales Proposals→
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Researches a prospect’s competitive context to prepare a factual sales strategy.

Sales · Competitive Intelligence→
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Creates a reviewable prospect-pipeline report from supplied, authorized evidence.

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

Sales · Sales Follow-Up→
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Structures a human-led lead qualification conversation using BANT and MEDDIC evidence.

Sales · Lead Qualification→
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Prepares a factual, bounded brief for an authorized sales meeting.

Sales · Sales Preparation→
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Personalized Multi-Channel Sales Outreach

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

Sales · Sales Outreach→
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Company & Firmographic Sales Research

Organizes public company and firmographic evidence for account research.

Sales · Account Research→
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Prepares evidence-based responses to sales objections for human review and conversation planning.

Sales · Sales Enablement→
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Maps an account’s decision process and stakeholders from authorized evidence.

Sales · Buying Committee→
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Defines a testable sales ICP and account-selection criteria from business evidence.

Sales · Ideal Customer Profile→
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Analyzes channel and video performance from user-supplied, authorized evidence.

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

Marketing · Audience Definition→
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Plans LinkedIn advertising decisions and measurement without configuring campaigns.

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

Marketing · Generative Engine Optimization→
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Structures a competitor traffic and authority assessment from authorized evidence.

Marketing · Competitor Research→
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Plans a community-presence approach with platform, community and human-review boundaries.

Marketing · Community Marketing→
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Analyzes supplied video-ad creative and produces reviewable improvement hypotheses.

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

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

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Marketing · SEO Research→
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Plans a podcast editing workflow without installation, transcription calls or media processing.

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

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19 · Sales · Offer Design

$100M Offers — External Benchmark

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

offer-designpricingguaranteesvalue-equationpackagingangebotangebotsgestaltungpreisstrategie
$100M Offers — External Benchmark · Original SKILL.md
---
name: hundred-million-offers
description: 'Create irresistible offers using the Value Equation, bonus stacking, risk-reversing guarantees, and ethical scarcity. Use when the user mentions "grand slam offer", "make my offer more compelling", "what bonuses should I add", "guarantee strategy", "offer naming", or "people say its too expensive". Also trigger when packaging a product for higher perceived value, justifying premium pricing instead of discounting, designing a money-back guarantee, or structuring tiers to maximize conversions. Covers the MAGIC naming formula and starving-crowd targeting. For product positioning, see obviously-awesome. For outbound sales, see predictable-revenue.'
license: MIT
metadata:
  author: wondelai
  version: "1.4.0"
---

# Grand Slam Offer Creation Framework

Framework for creating offers so good people feel stupid saying no. What you sell (the offer) matters more than how you sell it or who you sell it to.

## Core Principle

**The offer is the #1 lever in any business: a Grand Slam Offer sells despite mediocre marketing, while the best marketing in the world cannot save a bad offer.** Before optimizing funnels, running more ads, or hiring salespeople, fix the offer. A Grand Slam Offer maximizes Dream Outcome and Perceived Likelihood of Achievement while minimizing Time Delay and Effort & Sacrifice — becoming a category of one with no comparable alternative.

## Scoring

**Goal: 10/10.** Score any offer by the 7-row Quick Diagnostic at the end of this file — award ~1.4 points per row answered "yes," rounding to a 0-10 scale. Bands: **9-10** = all/nearly all rows pass (irresistible: 10x perceived value, reversed risk, ethical scarcity, named dollar-valued bonuses, a category-of-one bundle, a MAGIC name); **5-6** = value and market are right but risk, bonuses, or scarcity are missing; **<=3** = a commodity priced on cost with no guarantee or reason to act now. Always report the current score and the specific diagnostic rows that must flip to "yes" to reach 10/10.

## The Grand Slam Offer Framework

### 1. The Value Equation

**Core concept:** Value = (Dream Outcome x Perceived Likelihood of Achievement) / (Time Delay x Effort & Sacrifice). Maximize the numerator and minimize the denominator to create massive perceived value.

**Why it works:** People buy outcomes, not products — they weigh the dream result and their confidence in achieving it against how long and hard the path is. When the numerator vastly outweighs the denominator, the offer feels like a no-brainer regardless of price.

**Key insights:**
- Dream Outcome defines the ceiling of your value
- Perceived Likelihood often matters more than actual results — social proof, guarantees, and track record raise it
- Time Delay is a silent killer; faster results command premium prices
- Effort & Sacrifice includes everything the customer gives up (time, comfort, status, identity)
- A guarantee raises Perceived Likelihood and lowers perceived risk simultaneously

**Product applications:**

| Context | Application | Example |
|---------|-------------|---------|
| **SaaS** | Cut time-to-value | "First dashboard in 5 minutes, not 5 weeks" |
| **Agency** | Guarantee results to cut risk | "10 qualified leads or you don't pay" |
| **Info product** | Templates reduce effort | "Fill in the blanks -- no writing from scratch" |

**Copy patterns:**
- "Get [Dream Outcome] in [short time] without [Effort & Sacrifice]"
- "Guaranteed [result] or [risk reversal]"
- "We do [hard part] so you don't have to"

**Ethical boundary:** Back every speed, effort, and results claim with data, or label it aspirational rather than asserting it.

See [references/value-equation.md](references/value-equation.md) when scoring an offer's value: per-lever 1-10 rubric, a composite-score calculator, and lever-interaction effects.

### 2. The Grand Slam Offer

**Core concept:** A Grand Slam Offer is a complete package — core offer, bonuses, guarantee, scarcity, urgency, and a compelling name — not just a product.

**Why it works:** Bundling multiple value elements makes price comparison impossible: no competitor offers the same combination, so you escape commoditization and price pressure.

**Key insights:**
- List every problem and obstacle between the customer and the Dream Outcome; create a solution and delivery vehicle for each
- Trim & Stack: cut low-value/high-cost solutions, stack high-value/low-cost ones
- Each component should be nameable, independently valuable, and dollar-valued
- The sum of component values should be at least 10x the price

**Product applications:**

| Context | Application | Example |
|---------|-------------|---------|
| **SaaS** | Bundle training, setup, templates | "Platform + Setup Concierge + Template Library + Weekly Coaching" |
| **Course** | Add community, coaching, tools | "Course + Private Community + Weekly Q&A + Swipe Files" |
| **Consulting** | Package frameworks and support | "Diagnostic + Roadmap + 90-Day Implementation Support" |

**Copy patterns:**
- "Here's everything you get when you join today..."
- "Total value: $[sum of components]. Your investment: $[price]."
- "Everything you need to [Dream Outcome] in one package"

**Ethical boundary:** Price each component at what someone would actually pay for it standalone — never inflate values to fake the value-price gap.

See [references/grand-slam-offers.md](references/grand-slam-offers.md) when assembling the full package: problem-solution mapping and the Trim & Stack method worked end to end.

### 3. Finding Your Starving Crowd

**Core concept:** Before building the offer, find a starving crowd — a market with massive pain, purchasing power, easy targeting, and growth. The best offer fails if aimed at the wrong market.

**Why it works:** A starving crowd already knows it has the problem and is already hunting for a solution — your only job is presenting a compelling offer, which slashes acquisition cost and lifts conversion.

**Key insights:**
- Four criteria: massive pain, purchasing power, easy to target, growing market
- Pain matters most — people pay to stop pain faster than to gain pleasure
- "Easy to target" means reachable through existing channels (associations, communities, platforms)
- Niching down raises perceived value because specificity signals expertise

**Product applications:**

| Context | Application | Example |
|---------|-------------|---------|
| **SaaS** | Vertical with acute pain | "CRM for real estate agents who lose deals to follow-up failures" |
| **Agency** | Dominate one industry | "SEO agency exclusively for dental practices" |
| **Info product** | Narrow, painful, urgent problem | "How doctors negotiate their first hospital contract" |

**Copy patterns:**
- "Made specifically for [narrow audience] who struggle with [specific pain]"
- "We only work with [type of client] because we know your world"
- "If you're a [avatar] dealing with [pain], this was built for you"

**Ethical boundary:** Target genuine need and fit, never vulnerability — avoid people in crisis who cannot make rational decisions.

See [references/starving-crowd.md](references/starving-crowd.md) when choosing or validating a market: the four-criteria niche scorecard and demand-validation checks.

### 4. Value-Based Pricing

**Core concept:** Charge based on the value you deliver, not your costs — aim for a 10:1 value-to-price ratio.

**Why it works:** Low prices attract price-sensitive customers who churn fastest and refer least; premium prices attract committed customers who invest effort, get better results, and stay — while funding exceptional delivery. That's a virtuous cycle.

**Key insights:**
- Price is a function of perceived value, not cost
- Raising prices often increases conversions — price signals quality and seriousness
- Anchor against the cost of not solving the problem, not against alternatives
- Payment plans remove price as an objection without reducing revenue
- Price communicates positioning: commodity, premium, or luxury

**Product applications:**

| Context | Application | Example |
|---------|-------------|---------|
| **SaaS** | Price on outcomes, not features | "$500/mo for pipeline management that closes 3x more deals" |
| **Coaching** | Price against the transformation | "$25,000 program that helps consultants add $200K/year" |
| **Info product** | Price against the alternative | "$2,000 course vs. 3 years of trial-and-error and $50K in mistakes" |

**Copy patterns:**
- "What would it be worth to you if [Dream Outcome]?"
- "The cost of doing nothing is $[opportunity cost] per [time period]"
- "An investment of $[price] for $[10x value] in [outcome]"

See [references/pricing-strategy.md](references/pricing-strategy.md) when setting a price: value-based pricing frameworks, cost-of-inaction anchoring, and payment-plan structures.

### 5. Bonuses: Value Stacking

**Core concept:** Bonuses are added components that address remaining objections and make the offer feel like an overwhelming deal — each solving a specific problem with an independently justifiable dollar value.

**Why it works:** Each bonus is attached to a specific unspoken objection, so the prospect's reasons not to buy are answered before they surface — and once stacked value exceeds the price, the core product reads as "free."

**Key insights:**
- Each bonus should kill a specific objection or obstacle to success
- Stack order matters: present the most valuable bonus first as the anchor
- Partner bonuses add value at zero cost to you
- Name each bonus — named bonuses feel more real; keep them high value / low cost to deliver (templates, recordings, access)

**Product applications:**

| Context | Application | Example |
|---------|-------------|---------|
| **SaaS** | Training, templates, priority support | "Bonus: 50 proven email templates ($500 value)" |
| **Coaching** | Tools, assessments, community | "Bonus: Private Slack community for accountability ($2,000/yr value)" |
| **Agency** | Strategy docs, competitive analysis | "Bonus: Full competitive SEO audit ($3,000 value)" |

**Copy patterns:**
- "Bonus #1: [Name] (a $[value] value) -- FREE"
- "We added this because we noticed [objection] was holding people back"
- "Total bonus value: $[sum]. Yours free when you join today."

See [references/bonuses-stacking.md](references/bonuses-stacking.md) when designing bonuses: objection-to-bonus mapping, dollar-value assignment, and stack-order strategy.

### 6. Guarantees: Reversing Risk

**Core concept:** Guarantees transfer risk from buyer to seller. The prospect's biggest fear isn't losing money — it's making a bad decision; a strong guarantee makes "yes" psychologically safe.

**Why it works:** Every purchase carries financial, time, reputation, and identity risk, and guarantees neutralize them. Counterintuitively, stronger guarantees reduce refund rates — they signal confidence and attract committed buyers.

**Key insights:**
- Five types: unconditional, conditional, anti-guarantee, implied, performance-based
- Unconditional (full refund, no questions) is simplest and strongest for low-ticket
- Conditional ("do X steps, or we refund") attracts better clients; anti-guarantees ("all sales final") work when demand exceeds supply
- Performance-based ("we hit [metric] or you don't pay") is the ultimate risk reversal
- Name your guarantee, and stack multiple guarantees to reverse multiple risk types

**Product applications:**

| Context | Application | Example |
|---------|-------------|---------|
| **SaaS** | Trial + money-back | "Try free for 30 days, then 60-day money-back guarantee" |
| **Coaching** | Conditional + performance-based | "Complete all 12 modules; no 3 new clients = 100% refund" |
| **Agency** | Performance-based | "50 qualified leads in 90 days or we work free until you get them" |

**Copy patterns:**
- "Our [Named] Guarantee: [specific promise] or [consequence]"
- "Try it for [time period]. If you're not [specific outcome], we'll [reversal]."
- "You literally cannot lose."

**Ethical boundary:** Make the guarantee frictionless to claim — no fine-print traps or hoops; a guarantee that's hard to invoke destroys trust permanently.

See [references/guarantees.md](references/guarantees.md) when choosing or wording a guarantee: the five types compared, naming strategies, and how to stack them.

### 7. Scarcity and Urgency

**Core concept:** Scarcity limits quantity (how many); urgency limits time (how long). Both give people who already want the offer a reason to act now.

**Why it works:** Loss aversion makes a looming "you'll miss out" outweigh the inertia of "I'll think about it" — and "I'll think about it" functionally means no.

**Key insights:**
- Scarcity of supply: limited seats, enrollment caps, production runs; urgency of time: enrollment windows, deadline-driven bonuses
- Cohort-based models are the most ethical scarcity (genuinely limited capacity)
- Bonus scarcity ("First 20 people also get...") adds urgency without limiting the core offer
- Evergreen urgency must tie to real events (onboarding cohorts, seasonal cycles)

**Product applications:**

| Context | Application | Example |
|---------|-------------|---------|
| **SaaS** | Limited beta, grandfathered pricing | "Founding member pricing: locked for life, only 100 spots" |
| **Coaching** | Cohort enrollment windows | "Next cohort starts March 1. Only 20 seats." |
| **Agency** | Client capacity limits | "We take 5 new clients per quarter to ensure quality" |

**Copy patterns:**
- "Only [X] spots remaining in this cohort"
- "Enrollment closes [specific date] at midnight"
- "First [X] people to join also receive [bonus]"

**Ethical boundary:** Every scarcity and urgency claim must be 100% true — if you say 20 spots, there are 20 spots. Never reset a countdown timer or fake a sold-out; it is the fastest way to destroy a brand.

See [references/scarcity-urgency.md](references/scarcity-urgency.md) when adding a reason to act now: ethical scarcity patterns, cohort models, and evergreen urgency tied to real events.

### 8. Naming the Offer

**Core concept:** The name is the first thing prospects see and the last thing they remember. A great name communicates audience, outcome, timeframe, and format in a few words.

**Why it works:** A well-named offer pre-qualifies the right audience, sets expectations, and creates curiosity — a poorly named one requires explanation, which means you've already lost attention.

**Key insights — the MAGIC formula:**
- **M** = Magnetic reason why (hook, event, season, trend)
- **A** = Avatar (who it's for — the more specific, the better)
- **G** = Goal (the Dream Outcome in concrete terms)
- **I** = Indicate a time frame (how fast)
- **C** = Container word (challenge, blueprint, accelerator, bootcamp, system, formula, masterclass)
- Use only the elements that serve clarity; test 3-5 names — a name change alone can double conversion

**Product applications:**

| Context | Application | Example |
|---------|-------------|---------|
| **SaaS** | Outcome + speed | "Pipeline Accelerator: Close 3x More Deals in 90 Days" |
| **Coaching** | Avatar + goal + timeframe | "The 6-Figure Freelancer Blueprint: From $5K to $15K Months in 120 Days" |
| **Agency** | Lead with the guarantee | "The 50-Lead Guarantee: Qualified Appointments in 60 Days" |

**Copy patterns:**
- "The [Time Frame] [Avatar] [Goal] [Container]"
- "[Goal] [Container] for [Avatar]"
- "[Number]-Day [Goal] [Container] for [Avatar]"

**Ethical boundary:** The name may be aspirational but never deceptive — don't promise an outcome in the name (e.g. "6-Figure Blueprint") that customers don't actually reach.

See [references/naming-offers.md](references/naming-offers.md) when naming or A/B-testing a name: the MAGIC breakdown, container-word tables, 20+ worked examples, and test methods.

## Offer Creation Process

To build a Grand Slam Offer from scratch, run the eight sections above in this order:

1. **Identify your starving crowd** (§3) — score markets on pain, purchasing power, targetability, growth.
2. **Define the Dream Outcome** (§1) — the single most desirable result, in the customer's words.
3. **List every obstacle** — every problem, fear, objection, and friction point on the way.
4. **Create solutions for each obstacle** — with a delivery vehicle (1-on-1, group, DIY, done-for-you, software, physical).
5. **Apply Trim & Stack** (§2) — cut low-value/high-cost solutions; keep high-value/low-cost ones.
6. **Set value-based pricing** (§4) — price at 10-20% of the Dream Outcome's value (10:1 to 5:1).
7. **Design your bonuses** (§5) — one per remaining objection, each named with a defensible dollar value.
8. **Choose your guarantee** (§6) — pick the type that fits your model and risk tolerance; name it; make it bold.
9. **Add ethical scarcity and urgency** (§7) — real limits (seats, cohorts) and real deadlines.
10. **Name the offer using MAGIC** (§8) — combine avatar, goal, timeframe, container; test 3-5 variations.

See [references/offer-creation-checklist.md](references/offer-creation-checklist.md) to run this process as a fill-in worksheet (per-step prompts, scoring rubric, assembly template), and [references/case-studies.md](references/case-studies.md) for six full before/after offer redesigns (SaaS, coaching, e-commerce, agency, local, info product).

## Common Mistakes

| Mistake | Why It Fails | Fix |
|---------|-------------|-----|
| **Selling a commodity** | Commodities compete on price; you lose | Bundle unique value to become a category of one |
| **Pricing based on cost** | Leaves value on the table, signals low quality | Price on Dream Outcome value (10:1 rule) |
| **No guarantee** | Prospect bears all the risk and hesitates | Reverse risk — stronger guarantees reduce refunds |
| **Vague bonuses** | "Access to community" means nothing | Name each bonus, describe value, assign a dollar amount |
| **Fake scarcity** | Destroys trust when caught | Only 100% real, verifiable scarcity |
| **Generic naming** | "Business Growth Program" could be anything | Apply the MAGIC formula |
| **Targeting everyone** | "For anyone" attracts no one | Narrow the avatar until uncomfortable, then go narrower |

## Quick Diagnostic

Use this table to audit any existing offer:

| Question | If No | Action |
|----------|-------|--------|
| Does the offer deliver 10x the price in perceived value? | Feels overpriced | Add bonuses or raise the Dream Outcome |
| Is the market a starving crowd (pain + money + targetable + growing)? | Hard to sell regardless | Switch markets or narrow further |
| Does the guarantee reverse the prospect's risk? | Fear blocks the sale | Add a guarantee that makes yes feel safe |
| Are there at least 3 named bonuses with dollar values? | Offer feels thin | Create objection-killing bonuses |
| Is there a real reason to act now? | "I'll think about it" | Add ethical scarcity/urgency with a real deadline |
| Could a competitor offer the exact same thing? | Commodity; price war | Bundle elements that defy comparison |
| Does the name say who it's for and what they get? | No self-selection | Rename using MAGIC |

## Further Reading

Based on Alex Hormozi's offer creation framework:

- [*"$100M Offers: How to Make Offers So Good People Feel Stupid Saying No"*](https://www.amazon.com/100M-Offers-People-Stupid-Saying/dp/1737475731?tag=wondelai00-20) by Alex Hormozi
- [*"$100M Leads: How to Get Strangers to Want to Buy Your Stuff"*](https://www.amazon.com/100M-Leads-Strangers-Want-Stuff/dp/1737475774?tag=wondelai00-20) by Alex Hormozi

## About the Author

**Alex Hormozi** is an entrepreneur, investor, and founder of Acquisition.com, a portfolio of companies generating over $200 million per year. *$100M Offers*, his actionable playbook for creating irresistible offers, has become one of the most widely recommended business books among entrepreneurs and marketers.

When to use

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

What you get

The complete original framework with its attribution, declared license and M11 routing limits.

How it works

Establish the actual context and evidence, apply the framework, then separate recommendations from decisions that need an accountable owner.

Requirements

Offer, audience evidence, unit economics, legal constraints, delivery capacity and commercial owner.

Delivery and review notes

Original documentation is published by Wondel.ai sp. z o.o. under the repository MIT license at the pinned revision. Its cited books and named frameworks are not reproduced or relicensed by M11; the unchanged upstream document is the supplied source. The content is planning guidance only: validate claims, benchmarks, pricing, market facts and legal/commercial decisions against current evidence. Loading it does not authorize outreach, purchases, data collection, publishing, account changes or other external action.

Starting prompt

Use $100M Offers — External Benchmark for [TASK]. First establish Offer, audience evidence, unit economics, legal constraints, delivery capacity and commercial owner. Separate known facts from assumptions and return a bounded plan with open questions. Do not claim validation, authorization, execution or current benchmarks without evidence.

Not for

Deceptive scarcity, false guarantees, price claims without evidence or automatically changing offers.

What M11 added

M11 added German discovery terms, flat public routing and scope limits. Original documentation is published by Wondel.ai sp. z o.o. under the repository MIT license at the pinned revision. Its cited books and named frameworks are not reproduced or relicensed by M11; the unchanged upstream document is the supplied source. The content is planning guidance only: validate claims, benchmarks, pricing, market facts and legal/commercial decisions against current evidence. Loading it does not authorize outreach, purchases, data collection, publishing, account changes or other external action.

Original authorship remains with wondelai/skills · Original source ↗
Original license & copyright
MIT License

Copyright (c) 2025 Wondel.ai sp. z o.o.

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
Source SHA-256: 585779eac550ef8c43114b68e51c2eb1bf9547381fcd7342d54190c0d0cdc314
Snapshot checked: 2026-09-28T17:34:39.899Z
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Paste the copied text into the new chat. You can also download the .MD file from the skill page and attach it.