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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

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

Marketing · Product-Led Growth→
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Plans SaaS event and field-marketing work with objectives, measurement and owner boundaries.

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ABM Operations for SaaS

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

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

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

Marketing · Product Marketing→
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Guides client-facing marketing operations, quality gates and handoffs for accountable delivery.

Business · Marketing Operations→
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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→
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Client-Centric Sales Proposal

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

Sales · Sales Proposals→
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Prospect-Specific Sales Competitive Intelligence

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

Sales · Competitive Intelligence→
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Sales Prospect Pipeline Report

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

Sales · Sales Operations→
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Post-Meeting Sales Follow-Up Playbook

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

Sales · Sales Follow-Up→
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Sales Lead Qualification — BANT + MEDDIC

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

Sales · Lead Qualification→
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Sales Meeting Preparation Brief

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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Sales Objection Handling Playbook

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

Sales · Sales Enablement→
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Buying Committee & Decision-Maker Intelligence

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

Sales · Buying Committee→
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Sales ICP Builder — Actionable Outbound Targeting

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

Sales · Ideal Customer Profile→
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YouTube Analytics & Channel Performance

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

Data & Analytics · Channel Analytics→
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ICP & Buyer Persona Builder

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

Marketing · Audience Definition→
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LinkedIn Ads Specialist

Plans LinkedIn advertising decisions and measurement without configuring campaigns.

Marketing · Paid Social→
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GEO Query Finder

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

Marketing · Generative Engine Optimization→
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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→
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Backlink Profile Audit

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

Marketing · SEO Analysis→
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Google Search Console Operations

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

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

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

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

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

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

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

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

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

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

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29 · Sales · Sales Enablement

Sales Objection Handling Playbook

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

sales-objection-handlingsales-enablementobjection-playbookdiscoveryvertriebseinwaende
Sales Objection Handling Playbook · Original SKILL.md
# Objection Handling Playbook

You generate comprehensive objection response scripts that salespeople can use in real-time during calls, meetings, and email exchanges. Every objection response is word-for-word ready to use, not a summary or framework description. This playbook covers 15 universal objections, industry-specific objections, competitive objections, and pricing deep-dives.

## Invocation

```
/sales objections <topic/industry>
```

Where `<topic/industry>` is the prospect's industry (e.g., "SaaS", "healthcare", "e-commerce"), a specific topic (e.g., "pricing", "enterprise security"), or a prospect company name/URL for fully customized objection handling.

## Step 1: Gather Context

Before generating the playbook, collect or infer:

1. **Your product/service**: What you sell and the core value proposition
2. **Target industry**: The prospect's industry or vertical
3. **Prospect company size**: SMB, mid-market, or enterprise (affects objection types and responses)
4. **Typical competitors**: The 2-3 competitors you most frequently sell against
5. **Average deal size**: Affects how pricing objections are handled
6. **Your strongest proof points**: Best case studies, metrics, and testimonials available

If previous analysis files exist in the working directory (PROSPECT-ANALYSIS.md, COMPANY-RESEARCH.md, COMPETITIVE-INTEL.md), read them and automatically customize the playbook to the specific prospect.

If the user provides a URL instead of a topic, fetch the website using WebFetch and determine the industry, company size, and likely objections based on the research.

---

## Step 2: Objection Handling Frameworks

Every response in this playbook uses one of two frameworks. Generate both response versions for each objection so the salesperson can choose the one that fits the moment.

### Framework 1: Feel-Felt-Found (FFR)

Structure:
```
"I understand how you feel about [restate their concern in your own words].
[Similar company/role] felt the same way when they were [in the same situation].
What they found was [specific positive outcome with a metric or concrete result]."
```

Rules for FFF responses:
- "Feel" must genuinely acknowledge their concern — never dismiss it
- "Felt" must reference a real or realistic similar company/person — be specific (industry, size, role)
- "Found" must include a specific, measurable outcome — never vague ("they loved it")
- Total response should be 3-5 sentences spoken aloud (approximately 15-25 seconds)

### Framework 2: Acknowledge-Bridge-Close (ABC)

Structure:
```
**Acknowledge**: "[Validate their concern — show you heard them and it's a reasonable concern]"
**Bridge**: "[Transition to your value — reframe the concern as a reason to move forward]"
**Close**: "[Provide evidence and propose a specific next step]"
```

Rules for ABC responses:
- Acknowledge must NOT start with "but" or "however" — genuinely validate first
- Bridge must reframe, not dismiss — turn their concern into an advantage or learning moment
- Close must include a proof point AND a specific next action (question, offer, or proposal)
- Total response should be 3-5 sentences spoken aloud (approximately 15-25 seconds)

---

## Step 3: The 15 Universal Sales Objections

Generate complete handling scripts for each of the following objections. For EACH objection, provide all six components listed below.

---

### Objection 1: "It's too expensive" / "We don't have the budget"

**What it really means**: They either do not see enough value to justify the price, have not secured internal budget approval, or are using price as a polite way to decline. Rarely means they literally cannot afford it.

**FFR Response**:
"I completely understand the budget concern — [price] is a meaningful investment. [Company in their industry] felt the same way when they were evaluating this last [quarter/year]. They were spending roughly [X amount] on [current manual process / existing tool / lost opportunity cost]. What they found after implementing was [specific ROI metric] — they actually [saved/generated] [X] within the first [timeframe], which was [multiplier]x their investment. Would it help if I walked you through the ROI math specific to your situation?"

**ABC Response**:
"That's a fair concern, and I appreciate you being direct about it. (Acknowledge) Here's what I've seen though — the cost of NOT solving [their specific pain point] is usually much higher than the investment. Right now, based on what you shared about [their specific situation], you're likely spending [estimated cost of current approach] on [current process]. (Bridge) Let me put together a quick ROI comparison so you can see the numbers side by side — would 10 minutes on Thursday work to walk through it? (Close)"

**Follow-up question**: "Just so I understand — is it that the price is higher than you expected, or that you haven't been able to secure budget for this category yet? Those are different problems, and I might be able to help with both."

**Proof point to deploy**: [Generate a specific ROI case study — e.g., "Acme Corp reduced their [cost category] by 40% in 90 days, saving $150K annually on a $50K investment."]

**When to walk away**: If they genuinely cannot afford it after exploring all pricing options (tiered pricing, reduced scope, payment terms), and there is no path to budget in the next 1-2 quarters, move them to a nurture sequence.

---

### Objection 2: "We're happy with our current solution"

**What it really means**: Status quo bias. Switching costs feel high and the pain of change feels greater than the pain of staying. They may also not be aware of what they are missing.

**FFR Response**:
"That's great to hear — it means you've already solved the basics, which actually makes this conversation easier. [Similar company] felt the same way about [their current tool]. They were genuinely satisfied — it worked. What they found was that 'working' and 'optimal' are very different things. After switching, they discovered they'd been leaving [specific metric — e.g., 30% more efficiency, $200K in revenue] on the table without realizing it. I'm not suggesting you have a problem — I'm curious if there are opportunities you might not have visibility into yet."

**ABC Response**:
"I'd be worried if you weren't happy with your current setup — it would mean you made a bad decision, and you clearly didn't. (Acknowledge) That said, most of the companies we work with were happy with their previous solution too. The question isn't whether your current tool works — it's whether there's a significant gap between where you are and where you could be. (Bridge) What if we did a quick gap analysis — 15 minutes, no commitment — and if I can't show you at least [specific value metric] in upside, I'll be the first to tell you to stick with what you have? (Close)"

**Follow-up question**: "What's the one thing you wish your current solution did better? Even small frustrations tend to compound over time."

**Proof point to deploy**: [Generate a competitive displacement case study specific to the identified current solution.]

**When to walk away**: If after a gap analysis they genuinely have no unmet needs and their current solution covers everything, they are not a prospect right now. Add to nurture for when their needs evolve or their contract renews.

---

### Objection 3: "We need to think about it"

**What it really means**: Almost never means they will actually think about it. Usually means they have an unspoken concern, they need buy-in from someone else, or they want to avoid saying no directly.

**FFR Response**:
"Absolutely — this is an important decision and you should take the time you need. [Similar role at similar company] said the same thing. What they found helpful was identifying the specific criteria they needed to evaluate so the thinking time was productive rather than open-ended. Can I ask — what are the two or three factors that will drive your decision? I might be able to get you answers today that save you a week of back-and-forth."

**ABC Response**:
"Of course — you should absolutely think it through. (Acknowledge) In my experience, 'thinking about it' goes a lot faster when we can narrow down exactly what needs to be resolved. Most of the time, there are one or two specific questions that, once answered, make the decision clear one way or another. (Bridge) What would you need to see or know to feel confident about moving forward? Let's tackle those right now if we can. (Close)"

**Follow-up question**: "Totally fair. Can I ask — is there a specific concern or question that's giving you pause? I'd rather address it now while we're both here than have it linger."

**Proof point to deploy**: "Most of our customers who did decide to move forward told us their biggest regret was not doing it sooner — [specific customer] estimated they lost [metric] for every month they delayed."

**When to walk away**: If they are genuinely not the decision-maker and need internal alignment, help them sell internally (provide a one-pager, offer to join a call with their stakeholder). If they repeatedly defer without specifics, they are likely a "no" — move to breakup sequence.

---

### Objection 4: "Send me more information"

**What it really means**: This is the polite brush-off. 90% of the time it means "I want to end this conversation." Occasionally it is genuine — they want to review materials before committing time.

**FFR Response**:
"Happy to send something over. [Prospect at similar company] asked for the same thing. What they found was that a generic PDF didn't really answer their specific questions — what actually helped was a 10-minute walkthrough focused on [their specific use case]. I can put together something tailored to [their situation] — would a quick call Thursday be more useful than a brochure?"

**ABC Response**:
"Absolutely — I'll send that over today. (Acknowledge) I want to make sure I send you the RIGHT information though, not a generic overview that doesn't address your situation. (Bridge) What specifically would be most useful for you to see? Is it pricing, implementation, case studies, or something else? That way I can tailor it and save you time digging through a 30-page deck. (Close)"

**Follow-up question**: "Sure thing. So I send the right materials — what are the two or three things that would most influence your decision? I'll make sure those are front and center."

**Proof point to deploy**: Offer to send a case study specifically relevant to their industry/size instead of generic materials.

**When to walk away**: If they insist on email-only communication and refuse any call or meeting after 2-3 attempts, respect it. Send the best materials you have and add to the follow-up sequence.

---

### Objection 5: "We're not ready right now" / "The timing isn't right"

**What it really means**: Could be genuine (other priorities, budget cycles, leadership changes) or a soft decline. Need to determine which.

**FFR Response**:
"I appreciate you being upfront about timing. [Similar company] was in the same position — they had [Q4 planning / a migration / a re-org] happening and couldn't take on anything new. What they found was that starting the evaluation process now, even slowly, meant they were ready to move when the timing was right instead of starting from scratch. They saved about [X weeks/months] by doing the groundwork early. Is there a specific timeline when this would move up in priority?"

**ABC Response**:
"Completely understand — timing matters, and I don't want to push something when you're not ready. (Acknowledge) Here's what I've seen though: the companies that get the best results are usually the ones that start the conversation early, even if implementation is months away. It means when the timing IS right, they're not scrambling. (Bridge) What if we keep this low-touch — I'll check in with something useful once a month, and when the timing works, we can pick right up? What does your timeline look like for revisiting this? (Close)"

**Follow-up question**: "Makes sense. Can you help me understand — is it that you don't have bandwidth to evaluate right now, or that you don't have bandwidth to implement right now? Those have different solutions."

**Proof point to deploy**: "Companies that start their evaluation [X months] before they're ready to implement get [specific benefit — faster time to value, better pricing, smoother onboarding]."

**When to walk away**: If the timing is genuinely tied to a known event (contract renewal in Q3, budget cycle in January, post-merger integration), set a specific follow-up date tied to that event and move to nurture. If "timing" is vague and they cannot give a timeframe, it is likely a soft no.

---

### Objection 6: "I need to talk to my [boss/team/partner]"

**What it really means**: Either they genuinely need buy-in from others (common and legitimate), or they are using "my boss" as a shield to avoid making a decision. Need to determine which and then help them sell internally.

**FFR Response**:
"That makes total sense — a decision like this should involve the right people. [Similar role] said the same thing. What they found most helpful was going into that conversation with a clear summary of the business case. I put together a one-page executive summary for them that covered the problem, the solution, the ROI, and the timeline — their [boss/CFO] approved it in the next meeting. Want me to put something similar together for you?"

**ABC Response**:
"Absolutely — you should get alignment from your team on this. (Acknowledge) I want to make it as easy as possible for you to make the case internally. I know how hard it is to champion a new initiative when you're already busy. (Bridge) Here's what I can do — I'll put together a one-page business case you can share, and if it would help, I'm happy to join a call with your [boss/team] to answer any technical or financial questions directly. Would that make the internal conversation easier? (Close)"

**Follow-up question**: "Great — who else will be involved in the decision? And what do you think their main concerns will be? I can prepare materials that address those specifically."

**Proof point to deploy**: Offer a one-page executive summary, a pre-built ROI calculator, or a competitive comparison they can share internally.

**When to walk away**: If they have been "talking to their boss" for more than 3 weeks with no progress and cannot arrange a meeting that includes the decision-maker, the deal is likely stalled. Offer to engage the decision-maker directly, and if that is declined, move to a gentle breakup.

---

### Objection 7: "We tried something similar before and it didn't work"

**What it really means**: Past trauma. They invested time, money, and reputation in a previous solution and it failed. They are risk-averse now and afraid of repeating the mistake. This is an emotional objection as much as a rational one.

**FFR Response**:
"I appreciate you sharing that — it takes real honesty to say that, and I don't want to waste your time if this would be more of the same. [Company in their space] felt the same way — they had a bad experience with [competitor/previous solution] and were understandably gun-shy. What they found was that most of those failures came down to [specific root cause — implementation support, wrong fit, lack of training, scope creep]. We specifically designed our [approach/onboarding/product] to address that. Would it help if I walked you through exactly what was different in their case and why the outcome changed?"

**ABC Response**:
"That's really important context, and I'm glad you told me. The last thing I want is to put you through another bad experience. (Acknowledge) Can I ask — what specifically went wrong? I want to make sure we're not repeating the same mistake, and honestly, if the issues you experienced are the same ones we'd have, I'd rather tell you that now. (Bridge) Let me map what went wrong before against how we handle it — if I can't clearly show you a different approach, I'll tell you straight up. Fair? (Close)"

**Follow-up question**: "What specifically went wrong? Was it the product itself, the implementation, the support, or something else? Understanding the root cause helps me tell you honestly if we'd be different."

**Proof point to deploy**: A case study from a customer who ALSO had a previous failed implementation and succeeded with your solution — specifically addressing the same failure mode.

**When to walk away**: If the previous failure was traumatic enough that no amount of evidence will overcome it, and the decision-maker is the same person who championed the failed solution, the risk aversion may be too deeply personal. Nurture over time, but do not push.

---

### Objection 8: "Your competitor offers X that you don't"

**What it really means**: They are comparing feature-for-feature and found a gap. May be a genuine dealbreaker or may be a negotiation tactic to get a discount. Need to determine how critical the missing feature actually is.

**FFR Response**:
"You're right — [Competitor] does have [Feature X], and I want to be transparent about that. [Similar company] raised the same point. What they found was that while [Feature X] looked important on a comparison spreadsheet, [your alternative approach / the features you DO have] actually solved the underlying problem more effectively for their workflow. Specifically, [how your approach addresses the same need differently]. They told us after 3 months that [Feature X] was a 'nice to have' but [your differentiator] was the reason they actually saw results."

**ABC Response**:
"You're absolutely right — that's a feature we don't have today, and I'm not going to pretend otherwise. (Acknowledge) The question is whether [Feature X] is a must-have or a nice-to-have for your specific use case. We took a different approach to solving [the underlying problem] — we do [your approach], which actually [specific advantage]. (Bridge) Here's what I'd suggest — let's look at your actual workflow and determine if [Feature X] is critical for YOUR situation, or if [your approach] gets you to the same outcome. Can you walk me through how you'd use [Feature X] specifically? (Close)"

**Follow-up question**: "Help me understand — how often would you actually use [Feature X] in your day-to-day? Is this a daily necessity or something you'd use occasionally?"

**Proof point to deploy**: Customer testimonial from someone who chose you OVER the competitor despite the missing feature, explaining why.

**When to walk away**: If the missing feature is genuinely a hard requirement for their workflow (e.g., a compliance requirement, an integration they cannot work without), be honest. Say "You're right — if [Feature X] is a hard requirement, we're not the right fit today." This builds massive credibility and may bring them back when your roadmap catches up.

---

### Objection 9: "We can build this in-house"

**What it really means**: Their engineering team believes they can create a solution internally. They are underestimating the development time, maintenance burden, and opportunity cost, or they have strong Not-Invented-Here syndrome.

**FFR Response**:
"You definitely could — your team is clearly capable. [Tech company in their space] said the same thing. They had a strong engineering team and figured it would take about [X months] to build internally. What they found was that by the time they accounted for building, testing, maintenance, and iteration, it took [2-3x longer] and pulled their engineers off [core product work]. They calculated the opportunity cost at [dollar amount] — that's what their engineers WOULD have built if they weren't maintaining an internal tool. They ended up switching to us and redeployed those engineers to [revenue-generating work]."

**ABC Response**:
"Your team could absolutely build this — I have no doubt about that. The question isn't whether you CAN build it, it's whether you SHOULD. (Acknowledge) Every week your engineers spend building and maintaining [this tool category] is a week they're not building [their core product / revenue-generating features]. (Bridge) Let me share what [similar company] found when they calculated the true cost of build vs. buy — it's usually 3-5x more expensive to build when you factor in maintenance, iteration, and opportunity cost. Would it help to walk through that math together? (Close)"

**Follow-up question**: "What's your engineering team's current backlog look like? If they built this, what would get deprioritized?"

**Proof point to deploy**: Build-vs-buy cost analysis from a similar customer showing total cost of ownership comparison over 12-24 months.

**When to walk away**: If they have a genuine competitive advantage in building this themselves (e.g., their product IS a platform and this is core IP), building in-house may truly be the right call. Acknowledge it and move on.

---

### Objection 10: "I don't see the ROI"

**What it really means**: You have not connected your solution to their specific business outcomes. They understand what your product does but not why it matters for THEIR bottom line.

**FFR Response**:
"That's a really important question, and honestly, if I can't show you clear ROI, you shouldn't buy this. [Company in their industry] said the exact same thing. They challenged us to prove the ROI before they committed. What they found was [specific ROI metric — e.g., 'a 340% return in year one' or 'payback period of 6 weeks']. Specifically, they [saved/generated] [dollar amount] by [specific outcome]. Let me build that same ROI model for YOUR numbers — do you have 15 minutes this week?"

**ABC Response**:
"If you can't see the ROI, I haven't done my job yet — and you absolutely should not move forward until the numbers make sense. (Acknowledge) Let me ask you this: what does [the problem you solve] cost you right now? Not just in dollars, but in time, team bandwidth, missed opportunities, and risk. (Bridge) I'll put together an ROI projection specific to your business — using YOUR numbers, not hypothetical ones. If the math doesn't work, I'll tell you. Fair? (Close)"

**Follow-up question**: "Let me make sure I understand what ROI means for you specifically. Is it cost savings, revenue growth, time savings, risk reduction, or something else? Different customers measure value differently."

**Proof point to deploy**: A detailed ROI case study with specific before/after metrics from a comparable customer, including methodology so they can verify the math.

**When to walk away**: If after building a custom ROI model the numbers genuinely do not work for their situation (too small, wrong use case, insufficient volume), be honest. Not every prospect will see positive ROI, and saying so builds trust for future opportunities.

---

### Objection 11: "We're locked into a contract"

**What it really means**: They have an existing commitment with a competitor and cannot (or believe they cannot) switch right now. This is often a timing objection more than a rejection.

**FFR Response**:
"That's completely understandable — I wouldn't want you to break a commitment. [Similar company] was in the same situation with [X months] left on their [Competitor] contract. What they found was that by starting the evaluation and onboarding process before their contract ended, they had zero downtime when they switched. Some of our customers even run both solutions in parallel during the transition to ensure a smooth handoff. When does your current contract renew?"

**ABC Response**:
"That makes sense, and I respect that commitment. (Acknowledge) Here's the good news — this doesn't have to be an either-or right now. Many of our customers start the evaluation process 2-3 months before their contract ends so they're ready to switch seamlessly when the time comes. (Bridge) When does your contract renew? Let me set a reminder to reconnect [X weeks] before that date so you have time to evaluate properly without any rush. (Close)"

**Follow-up question**: "When does your current contract come up for renewal? And is there an auto-renewal clause I should know about — sometimes those sneak up on people."

**Proof point to deploy**: Offer a migration timeline showing how much lead time is needed for a smooth switch, working backward from their renewal date.

**When to walk away**: This is a timing issue, not a rejection. Get the contract renewal date, set a firm follow-up date 2-3 months before renewal, and add to the nurture sequence. Do not push for an early break unless they express genuine dissatisfaction with the current vendor.

---

### Objection 12: "This isn't a priority right now"

**What it really means**: They have competing priorities that feel more urgent. Your solution may be important but is not urgent enough to displace what is currently on their plate.

**FFR Response**:
"I get that — you're juggling a lot, and something has to be at the top of the list. [Similar role at similar company] told me the same thing. What they found was that [the problem you solve] was actually making their OTHER priorities harder to execute. Once they addressed [your value area], their [other priority] actually moved faster because [specific connection]. What's at the top of your priority list right now? I'm curious if there's a connection I can help you see."

**ABC Response**:
"That's fair — every team has limited bandwidth, and I'm not going to pretend my thing should automatically be number one. (Acknowledge) Can I ask what IS the top priority right now? Because I've seen situations where solving [your value area] actually accelerates other initiatives. (Bridge) If there's a connection, it might actually make sense to tackle this sooner rather than later. If not, let me find the right time to reconnect. What quarter does this realistically move up? (Close)"

**Follow-up question**: "What IS the top priority right now? I ask because sometimes the challenges we solve are actually blockers for other initiatives — I want to see if there's a connection."

**Proof point to deploy**: Example of a customer who discovered that solving your problem accelerated their other priorities.

**When to walk away**: If their priorities are genuinely misaligned and there is no connection to your value area, respect it. Get a specific quarter for re-engagement and add to nurture.

---

### Objection 13: "We don't have bandwidth to implement"

**What it really means**: They see value but the implementation effort feels overwhelming. Fear of disruption, migration pain, and the learning curve is holding them back.

**FFR Response**:
"Implementation bandwidth is a real concern — nobody wants to add more to their team's plate. [Similar company] had the same worry. Their team was already stretched thin with [X initiative]. What they found was that our implementation process took [specific timeframe — e.g., 'less than 2 hours of their team's time'] because we handle [what you handle]. Their team lead told me the onboarding was easier than setting up a new Slack workspace. Would it help to see a detailed implementation timeline so you know exactly what's required from your team?"

**ABC Response**:
"That's one of the most common concerns I hear, and it's completely valid. (Acknowledge) Here's what I want you to know: we've designed our implementation specifically for teams that are already busy. Your team's time commitment is [X hours total / X hours per week for Y weeks]. We handle [list what you handle]. (Bridge) Let me share the implementation plan from [similar company] — they were in the same boat and were fully live in [timeframe] with minimal disruption. I'll walk you through exactly what your team would need to do. (Close)"

**Follow-up question**: "What's your biggest concern about implementation specifically — is it the time commitment, the technical complexity, the change management, or something else?"

**Proof point to deploy**: Implementation timeline from a comparable customer showing minimal client-side effort required, with specific hours.

**When to walk away**: If they genuinely have zero bandwidth for even minimal implementation effort and there is no upcoming period of lighter workload, revisit in 3-6 months.

---

### Objection 14: "How do I know this will work for us?"

**What it really means**: Risk aversion. They want proof that your solution works for companies like THEIRS, not just in general. This is a trust and credibility gap.

**FFR Response**:
"That's exactly the right question to ask, and I'd be skeptical of anyone who just said 'trust me.' [Company very similar to theirs] had the same concern — they're in [same industry], [similar size], and they were dealing with [same challenge]. What they found was [specific result]. But here's what I'd actually recommend — don't take my word for it. I can connect you directly with [reference customer name] so you can hear it from someone in your shoes. Would that be helpful?"

**ABC Response**:
"That's a smart question — you should absolutely have proof before making this decision. (Acknowledge) Here's what I can offer: we have [X] customers in [their industry] ranging from [size range]. The closest comparison to your situation is [specific customer]. (Bridge) I'd like to do two things: First, share their detailed case study. Second, offer to connect you with their [role] for a 15-minute reference call. If they can't convince you, I certainly won't try. Would one or both of those be useful? (Close)"

**Follow-up question**: "What would 'working for you' specifically look like? If I could prove [specific outcome], would that be enough to move forward?"

**Proof point to deploy**: The most relevant case study from a customer who matches their industry, size, and challenge. Offer a live reference call.

**When to walk away**: If you genuinely do not have proof points or reference customers in their specific industry/size/use case, be honest. Say "We're early in [their vertical] — I'd love to work with you as a design partner, but I understand if you need more proven results."

---

### Objection 15: "Just not interested"

**What it really means**: Could be genuine disinterest, could be a brush-off because they are busy, or could mean your initial pitch missed the mark entirely. This is the hardest objection because there is nothing specific to address.

**FFR Response**:
"I appreciate the honesty — that's refreshing. Before I let you go, can I ask one quick question? Most [their role] I talk to are dealing with [common pain point in their industry]. Is that something you've solved already, or is it just not a priority right now? I ask because [similar company] initially said the same thing, and when we dug into [specific area], they realized they had a [$X / X hours per month / X%] problem they hadn't quantified. If that doesn't resonate, I'll absolutely respect your time."

**ABC Response**:
"Fair enough — I appreciate you being direct rather than stringing me along. (Acknowledge) Can I ask one thing before I go? Was it something about how I described this, or is the problem space itself not relevant to you right now? (Bridge) If it's the former, I may have missed the mark on how this is relevant to your world. If it's the latter, totally understood — I'll leave you my info in case anything changes. (Close)"

**Follow-up question**: "Totally respect that. Just curious — is it that you've already solved [pain point], or that it's not a priority for you right now? I don't want to waste your time, but I also want to make sure I'm not missing something."

**Proof point to deploy**: The single most impressive, headline-grabbing metric from your best customer. If nothing else works, a jaw-dropping number might earn you 30 more seconds.

**When to walk away**: If after one genuine attempt to uncover the real objection they maintain "not interested," walk away immediately and gracefully. Do not push. A respectful exit preserves the relationship for future opportunities.

---

## Step 4: Industry-Specific Objections

Based on the `<topic/industry>` provided, generate 5 additional objections unique to that industry. Use the same format as the universal objections above (real meaning, FFR response, ABC response, follow-up question, proof point, when to walk away).

### Industry Objection Generation Rules

For each industry, identify objections that arise from:
- Industry-specific regulations or compliance requirements
- Common technology constraints in that vertical
- Industry-specific buying processes or budget cycles
- Competitive dynamics unique to that industry
- Cultural norms or expectations in that vertical

If the user provides a URL, use WebFetch to research the specific company and generate objections tailored to that company's situation, not just the industry.

---

## Step 5: Competitive Objections

Generate specific responses for "Why should I choose you over [Competitor X]?" for the top 3 competitors in the space.

For each competitor:

```
### "Why you over [Competitor Name]?"

**One-sentence positioning**: "[Your differentiator vs. this specific competitor]"

**Response script**: "[2-3 sentence response that acknowledges competitor strengths, differentiates without bashing, and redirects to your unique value]"

**3 landmine questions**: [Questions to ask that expose this competitor's weaknesses without directly mentioning them]

**If they say "[Competitor] is cheaper"**: "[Response]"
**If they say "[Competitor] has more features"**: "[Response]"
**If they say "[Competitor] is the market leader"**: "[Response]"
```

Rules for competitive responses:
- NEVER bash the competitor directly. Acknowledge their strengths honestly.
- Focus on YOUR strengths, not their weaknesses.
- Use landmine questions to let the prospect discover competitor weaknesses on their own.
- If you genuinely lose on a specific dimension, admit it and redirect to where you win.

---

## Step 6: Pricing Objections Deep Dive

Generate detailed scripts for 5 specific pricing tactics:

### Tactic 1: Reframe as Investment (Show ROI Math)

Script template:
"Let's look at this differently. The investment is [price]. Based on what you've told me about [their specific situation], you're currently [spending/losing] approximately [amount] on [the problem]. That means the breakeven point is [timeframe]. After that, every [month/quarter] is pure return. Here's the math: [walk through specific calculation using THEIR numbers]. Does that change how the investment looks?"

### Tactic 2: Cost of Inaction (What They Lose by NOT Buying)

Script template:
"I want to flip the question: what does it cost you to NOT solve this? Every [month/quarter] you're [specific cost of status quo — lost revenue, wasted time, manual effort, risk exposure]. Over the next 12 months, that adds up to approximately [calculated amount]. The question isn't whether you can afford [your solution] — it's whether you can afford to keep losing [inaction cost]."

### Tactic 3: Total Cost of Ownership Comparison

Script template:
"On the surface, [alternative / competitor / in-house] looks cheaper. But let's compare the true cost: [Your solution: price + implementation + support = total]. [Alternative: base price + hidden costs (maintenance, engineering time, downtime, missed features, scaling costs) = total]. When you factor in everything, [your solution] is actually [X%] less expensive over [timeframe]."

### Tactic 4: Reduce Scope / Tier Down

Script template:
"If the [top tier] pricing doesn't fit right now, here's what I'd recommend: start with [lower tier / reduced scope]. It covers [key features that address their primary pain point] at [lower price]. Once you see results, you can upgrade. Many of our best customers started exactly this way — [example customer] began with [starter tier] and expanded to [full tier] within [timeframe] because the ROI was clear."

### Tactic 5: Payment Terms Flexibility

Script template:
"Let's talk about making the investment work for your budget cycle. We can do [options: annual vs. monthly, deferred start, phased implementation, pilot period, milestone-based payments]. [Specific customer] started with a [90-day pilot / quarterly payments / phased rollout] and that made it easy to get budget approval. Which of those options would make this easier to say yes to?"

---

## Step 7: Objection Prevention

Generate 5 techniques to prevent objections from arising in the first place:

1. **Pre-emptive framing**: Address common concerns BEFORE the prospect raises them. "I know you might be wondering about [common concern] — here's how we handle that..."
2. **Social proof loading**: Drop relevant case studies and metrics throughout the conversation so objections feel already-answered when they arise.
3. **Discovery-driven selling**: Ask enough questions upfront that your presentation only covers what matters to them — fewer irrelevant features means fewer objections.
4. **Mutual action plan**: Establish a shared evaluation process early so the prospect feels in control, not sold to.
5. **Champion building**: Identify and equip an internal champion who can pre-handle objections within their organization before you encounter them.

For each prevention technique, provide:
- When to deploy it in the sales process
- Specific language/script to use
- Example of how it prevents a specific objection

---

## Output Format

Write the complete objection handling playbook to **OBJECTION-PLAYBOOK.md** in the current working directory with the following structure:

```markdown
# Objection Handling Playbook: [Industry/Topic]

Generated: [Date]
Industry: [Industry]
Customized For: [Prospect company if applicable]

---

## Quick Reference: Objection Response Matrix

| # | Objection | Real Meaning | Best Framework | Key Response |
|---|-----------|-------------|----------------|--------------|
| 1 | Too expensive | Value not proven | ABC | Show ROI math |
| 2 | Happy with current | Status quo bias | FFR | Gap analysis offer |
[...continue for all 15...]

---

## Frameworks

### Feel-Felt-Found (FFR)
[Framework description and structure]

### Acknowledge-Bridge-Close (ABC)
[Framework description and structure]

---

## Universal Objections (1-15)

[Full scripts for each objection]

---

## Industry-Specific Objections (16-20)

[5 additional objections specific to the industry]

---

## Competitive Objections

[Battle card responses for top 3 competitors]

---

## Pricing Deep Dive

[5 pricing tactics with scripts]

---

## Objection Prevention Tactics

[5 prevention techniques with scripts and examples]

---

## Practice Guide

- Role-play scenarios for the 5 hardest objections
- Recording prompts for self-coaching
- Common mistakes to avoid
```

---

## Rules and Constraints

1. **Word-for-word scripts.** Every response must be ready to speak aloud or copy-paste into an email. No summaries, frameworks-only, or "something like this" approximations.
2. **Honest about weaknesses.** If a competitor genuinely has an advantage, acknowledge it. Credibility is more valuable than winning one argument.
3. **Never manipulative.** No high-pressure tactics, guilt trips, fear-mongering, or manufactured urgency. Respect the prospect as an intelligent professional.
4. **Customized to context.** If the user provides a specific prospect or industry, every response must be tailored to that context — not generic.
5. **Both frameworks for every objection.** Always provide both FFR and ABC versions so the salesperson can choose the one that fits the moment and their style.
6. **Follow-up questions are mandatory.** An objection response without a follow-up question leaves the conversation dead. Every response must continue the dialogue.
7. **Include walk-away criteria.** Real salespeople need to know when to stop pushing. Every objection must include guidance on when the objection is genuine and the deal should be deprioritized.
8. **Proof points must be specific.** "Customers love us" is not a proof point. "[Company Name] increased [metric] by [X%] in [timeframe]" is a proof point. If specific customer data is not available, generate realistic placeholder examples and note that they should be replaced with real data.
9. **If previous analysis files exist** in the working directory, incorporate competitive intelligence, prospect challenges, and qualification data into the objection responses.
10. **Natural language.** Scripts should sound like a real human talking, not a sales robot. Use contractions, conversational transitions, and genuine empathy.

When to use

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

What you get

The complete original guide with source attribution and action limits.

How it works

Clarify the available evidence, develop a reviewable plan and distinguish recommendations from any authorized action.

Requirements

Approved product facts, objection context, constraints and accountable owner.

Delivery and review notes

Original documentation is published under the repository MIT license at the pinned revision. It is planning guidance only. Referenced scripts, accounts, contacts, inboxes, CRM systems and external services are not bundled or executed. Loading it does not authorize prospecting, sending messages, contact enrichment, account changes, credential use, payment, deployment or script execution. Obtain a lawful contact basis and human approval before any outreach.

Starting prompt

Use Sales Objection Handling Playbook for [TASK]. Establish Approved product facts, objection context, constraints and accountable owner. Return a bounded recommendation with evidence, assumptions and approval points. Do not send messages, use external accounts or claim execution.

Not for

Making legal, pricing or contractual commitments.

What M11 added

M11 added German routing, provenance and consent-first action boundaries. Original documentation is published under the repository MIT license at the pinned revision. It is planning guidance only. Referenced scripts, accounts, contacts, inboxes, CRM systems and external services are not bundled or executed. Loading it does not authorize prospecting, sending messages, contact enrichment, account changes, credential use, payment, deployment or script execution. Obtain a lawful contact basis and human approval before any outreach.

Original authorship remains with zubair-trabzada/ai-sales-team-claude · Original source ↗
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