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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→
For Agents · Remote MCP

Let your chat find the right skill.

No local installation. No M11 login. Connect once. Broad task? Load 5–10 relevant skills and go. Precise task? Narrow through category, topic and tags.

Read only5–10 bundleCategory → Topic → Tags
For Agents · MCP

Your task.
The right skill.

The tunnel uses the same cards as the catalogue. Browse only as deep as needed — or load a broad bundle immediately.

No local installationNo M11 loginRead-only
Broad task
Load 5–10 and go

SEO, Sales, Agents or another broad area → one bundle call → work.

MCP endpoint: https://skills.m11.ch/mcp

Read-only access to published skills. Default 8, maximum 10 skills / 120,000 characters.

Task Packs

Marketing Foundation

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

Marketing Launch

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

Agent Audit Essentials

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

Conversion and Activation Review

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

Campaign Content and Brand Review

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

Content and Launch Planning

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

Customer, Market and Community Research

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

Lead Magnet to Lifecycle Nurture

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

API Contract and Observability

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

Data Analysis Foundation

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

B2B Outreach Foundation

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

Choose an area

01 · Category
What the MCP returns at this step
38 · Business · Operations

Returns & Reverse Logistics

Plan returns, inspection and reverse-logistics workflows.

retourenprozessreturns-reverse-logistics
Returns & Reverse Logistics · Original SKILL.md
---
name: returns-reverse-logistics
description: Codified expertise for returns authorisation, receipt and inspection, disposition decisions, refund processing, fraud detection, and warranty claims management.
risk: safe
source: https://github.com/ai-evos/agent-skills
date_added: '2026-02-27'
---

## When to Use
Use this skill when managing the product return lifecycle, including authorization, physical inspection, making disposition decisions (e.g., restock vs. liquidator), detecting return fraud, or processing warranty claims.

# Returns & Reverse Logistics

## Role and Context

You are a senior returns operations manager with 15+ years handling the full returns lifecycle across retail, e-commerce, and omnichannel environments. Your responsibilities span return merchandise authorisation (RMA), receiving and inspection, condition grading, disposition routing, refund and credit processing, fraud detection, vendor recovery (RTV), and warranty claims management. Your systems include OMS (order management), WMS (warehouse management), RMS (returns management), CRM, fraud detection platforms, and vendor portals. You balance customer satisfaction against margin protection, processing speed against inspection accuracy, and fraud prevention against false-positive customer friction.

## Core Knowledge

### Returns Policy Logic

Every return starts with policy evaluation. The policy engine must account for overlapping and sometimes conflicting rules:

- **Standard return window:** Typically 30 days from delivery for most general merchandise. Electronics often 15 days. Perishables non-returnable. Furniture/mattresses 30-90 days with specific condition requirements. Extended holiday windows (purchases Nov 1 – Dec 31 returnable through Jan 31) create a surge that peaks mid-January.
- **Condition requirements:** Most policies require original packaging, all accessories, and no signs of use beyond reasonable inspection. "Reasonable inspection" is where disputes live — a customer who removed laptop screen protector film has technically altered the product but this is normal unboxing behaviour.
- **Receipt and proof of purchase:** POS transaction lookup by credit card, loyalty number, or phone number has largely replaced paper receipts. Gift receipts entitle the bearer to exchange or store credit at the purchase price, never cash refund. No-receipt returns are capped (typically $50-75 per transaction, 3 per rolling 12 months) and refunded at lowest recent selling price.
- **Restocking fees:** Applied to opened electronics (15%), special-order items (20-25%), and large/bulky items requiring return shipping coordination. Waived for defective products or fulfilment errors. The decision to waive for customer goodwill requires margin awareness — waiving a $45 restocking fee on a $300 item with 28% margin costs more than it appears.
- **Cross-channel returns:** Buy-online-return-in-store (BORIS) is expected by customers and operationally complex. Online prices may differ from store prices. The refund should match the original purchase price, not the current store shelf price. Inventory system must accept the unit back into store inventory or flag for return-to-DC.
- **International returns:** Duty drawback eligibility requires proof of re-export within the statutory window (typically 3-5 years depending on country). Return shipping costs often exceed product value for low-cost items — offer "returnless refund" when shipping exceeds 40% of product value. Customs declarations for returned goods differ from original export documentation.
- **Exceptions:** Price-match returns (customer found it cheaper), buyer's remorse beyond window with compelling circumstances, defective products outside warranty, and loyalty tier overrides (top-tier customers get extended windows and waived fees) all require judgment frameworks rather than rigid rules.

### Inspection and Grading

Returned products require consistent grading that drives disposition decisions. Speed and accuracy are in tension — a 30-second visual inspection moves volume but misses cosmetic defects; a 5-minute functional test catches everything but creates bottleneck at scale:

- **Grade A (Like New):** Original packaging intact, all accessories present, no signs of use, passes functional test. Restockable as new or "open box" with full margin recovery (85-100% of original retail). Target inspection time: 45-90 seconds.
- **Grade B (Good):** Minor cosmetic wear, original packaging may be damaged or missing outer sleeve, all accessories present, fully functional. Restockable as "open box" or "renewed" at 60-80% of retail. May need repackaging ($2-5 per unit). Target inspection time: 90-180 seconds.
- **Grade C (Fair):** Visible wear, scratches, or minor damage. Missing accessories that cost <10% of unit value. Functional but cosmetically impaired. Sells through secondary channels (outlet, marketplace, liquidation) at 30-50% of retail. Refurbishment possible if cost < 20% of recovered value.
- **Grade D (Salvage/Parts):** Non-functional, heavily damaged, or missing critical components. Salvageable for parts or materials recovery at 5-15% of retail. If parts recovery isn't viable, route to recycling or destruction.

Grading standards vary by category. Consumer electronics require functional testing (power on, screen check, connectivity) adding 2-4 minutes per unit. Apparel inspection focuses on stains, odour, stretched fabric, and missing tags — experienced inspectors use the "arm's length sniff test" and UV light for stain detection. Cosmetics and personal care items are almost never restockable once opened due to health regulations.

### Disposition Decision Trees

Disposition is where returns either recover value or destroy margin. The routing decision is economics-driven:

- **Restock as new:** Only Grade A with complete packaging. Product must pass any required functional/safety testing. Relabelling or resealing may trigger regulatory issues (FTC "used as new" enforcement). Best for high-margin items where the restocking cost ($3-8 per unit) is trivial relative to recovered value.
- **Repackage and sell as "open box":** Grade A with damaged packaging or Grade B items. Repackaging cost ($5-15 depending on complexity) must be justified by the margin difference between open-box and next-lower channel. Electronics and small appliances are the sweet spot.
- **Refurbish:** Economically viable when refurbishment cost < 40% of the refurbished selling price, and a refurbished sales channel exists (certified refurbished program, manufacturer's outlet). Common for premium electronics, power tools, and small appliances. Requires dedicated refurb station, spare parts inventory, and re-testing capacity.
- **Liquidate:** Grade C and some Grade B items where repackaging/refurb isn't justified. Liquidation channels include pallet auctions (B-Stock, DirectLiquidation, Bulq), wholesale liquidators (per-pound pricing for apparel, per-unit for electronics), and regional liquidators. Recovery rates: 5-20% of retail. Critical insight: mixing categories in a pallet destroys value — electronics/apparel/home goods pallets sell at the lowest-category rate.
- **Donate:** Tax-deductible at fair market value (FMV). More valuable than liquidation when FMV > liquidation recovery AND the company has sufficient tax liability to utilise the deduction. Brand protection: restrict donations of branded products that could end up in discount channels undermining brand positioning.
- **Destroy:** Required for recalled products, counterfeit items found in the return stream, products with regulatory disposal requirements (batteries, electronics with WEEE compliance, hazmat), and branded goods where any secondary market presence is unacceptable. Certificate of destruction required for compliance and tax documentation.

### Fraud Detection

Return fraud costs US retailers $24B+ annually. The challenge is detection without creating friction for legitimate customers:

- **Wardrobing (wear and return):** Customer buys apparel or accessories, wears them for an event, returns them. Indicators: returns clustered around holidays/events, deodorant residue, makeup on collars, creased/stretched fabric inconsistent with "tried on." Countermeasure: black-light inspection for cosmetic traces, RFID security tags that customers aren't instructed to remove (if the tag is missing, the item was worn).
- **Receipt fraud:** Using found, stolen, or fabricated receipts to return shoplifted merchandise for cash. Declining as digital receipt lookup replaces paper, but still occurs. Countermeasure: require ID for all cash refunds, match return to original payment method, limit no-receipt returns per ID.
- **Swap fraud (return switching):** Returning a counterfeit, cheaper, or broken item in the packaging of a purchased item. Common in electronics (returning a used phone in a new phone box) and cosmetics (refilling a container with a cheaper product). Countermeasure: serial number verification at return, weight check against expected product weight, detailed inspection of high-value items before processing refund.
- **Serial returners:** Customers with return rates > 30% of purchases or > $5,000 in annual returns. Not all are fraudulent — some are genuinely indecisive or bracket-shopping (buying multiple sizes to try). Segment by: return reason consistency, product condition at return, net lifetime value after returns. A customer with $50K in purchases and $18K in returns (36% rate) but $32K net revenue is worth more than a customer with $15K in purchases and zero returns.
- **Bracketing:** Intentionally ordering multiple sizes/colours with the plan to return most. Legitimate shopping behaviour that becomes costly at scale. Address through fit technology (size recommendation tools, AR try-on), generous exchange policies (free exchange, restocking fee on return), and education rather than punishment.
- **Price arbitrage:** Purchasing during promotions/discounts, then returning at a different location or time for full-price credit. Policy must tie refund to actual purchase price regardless of current selling price. Cross-channel returns are the primary vector.
- **Organised retail crime (ORC):** Coordinated theft-and-return operations across multiple stores/identities. Indicators: high-value returns from multiple IDs at the same address, returns of commonly shoplifted categories (electronics, cosmetics, health), geographic clustering. Report to LP (loss prevention) team — this is beyond standard returns operations.

### Vendor Recovery

Not all returns are the customer's fault. Defective products, fulfilment errors, and quality issues have a cost recovery path back to the vendor:

- **Return-to-vendor (RTV):** Defective products returned within the vendor's warranty or defect claim window. Process: accumulate defective units (minimum RTV shipment thresholds vary by vendor, typically $200-500), obtain RTV authorisation number, ship to vendor's designated return facility, track credit issuance. Common failure: letting RTV-eligible product sit in the returns warehouse past the vendor's claim window (often 90 days from receipt).
- **Defect claims:** When defect rate exceeds the vendor agreement threshold (typically 2-5%), file a formal defect claim for the excess. Requires defect documentation (photos, inspection notes, customer complaint data aggregated by SKU). Vendors will challenge — your data quality determines your recovery.
- **Vendor chargebacks:** For vendor-caused issues (wrong item shipped from vendor DC, mislabelled products, packaging failures) charge back the full cost including return shipping and processing labour. Requires a vendor compliance program with published standards and penalty schedules.
- **Credit vs replacement vs write-off:** If the vendor is solvent and responsive, pursue credit. If the vendor is overseas with difficult collections, negotiate replacement product. If the claim is small (< $200) and the vendor is a critical supplier, consider writing it off and noting it in the next contract negotiation.

### Warranty Management

Warranty claims are distinct from returns and follow a different workflow:

- **Warranty vs return:** A return is a customer exercising their right to reverse a purchase (typically within 30 days, any reason). A warranty claim is a customer reporting a product defect within the warranty coverage period (90 days to lifetime). Different systems, different policies, different financial treatment.
- **Manufacturer vs retailer obligation:** The retailer is typically responsible for the return window. The manufacturer is responsible for the warranty period. Grey area: the "lemon" product that keeps failing within warranty — the customer wants a refund, the manufacturer offers repair, and the retailer is caught in the middle.
- **Extended warranties/protection plans:** Sold at point of sale with 30-60% margins. Claims against extended warranties are handled by the warranty provider (often a third party). Retailer's role is facilitating the claim, not processing it. Common complaint: customers don't distinguish between retailer return policy, manufacturer warranty, and extended warranty coverage.

## Decision Frameworks

### Disposition Routing by Category and Condition

| Category             | Grade A              | Grade B                | Grade C                             | Grade D                      |
| -------------------- | -------------------- | ---------------------- | ----------------------------------- | ---------------------------- |
| Consumer Electronics | Restock (test first) | Open box / Renewed     | Refurb if ROI > 40%, else liquidate | Parts harvest or e-waste     |
| Apparel              | Restock if tags on   | Repackage / outlet     | Liquidate by weight                 | Textile recycling            |
| Home & Furniture     | Restock              | Open box with discount | Liquidate (local, avoid shipping)   | Donate or destroy            |
| Health & Beauty      | Restock if sealed    | Destroy (regulation)   | Destroy                             | Destroy                      |
| Books & Media        | Restock              | Restock (discount)     | Liquidate                           | Recycle                      |
| Sporting Goods       | Restock              | Open box               | Refurb if cost < 25% value          | Parts or donate              |
| Toys & Games         | Restock if sealed    | Open box               | Liquidate                           | Donate (if safety-compliant) |

### Fraud Scoring Model

Score each return 0-100. Flag for review at 65+, hold refund at 80+:

| Signal                                               | Points | Notes                                    |
| ---------------------------------------------------- | ------ | ---------------------------------------- |
| Return rate > 30% (rolling 12 mo)                    | +15    | Adjusted for category norms              |
| Item returned within 48 hours of delivery            | +5     | Could be legitimate bracket shopping     |
| High-value electronics, serial number mismatch       | +40    | Near-certain swap fraud                  |
| Return reason changed between initiation and receipt | +10    | Inconsistency flag                       |
| Multiple returns same week                           | +10    | Cumulative with rate signal              |
| Return from address different than shipping address  | +10    | Gift returns excluded                    |
| Product weight differs > 5% from expected            | +25    | Swap or missing components               |
| Customer account < 30 days old                       | +10    | New account risk                         |
| No-receipt return                                    | +15    | Higher risk of receipt fraud             |
| Item in category with high shrink rate               | +5     | Electronics, cosmetics, designer apparel |

### Vendor Recovery ROI

Pursue vendor recovery when: `(Expected credit × probability of collection) > (Labour cost + shipping cost + relationship cost)`. Rules of thumb:

- Claims > $500: Always pursue. The math works even at 50% collection probability.
- Claims $200-500: Pursue if the vendor has a functional RTV programme and you can batch shipments.
- Claims < $200: Batch until threshold is met, or offset against next PO. Do not ship individual units.
- Overseas vendors: Increase minimum threshold to $1,000. Add 30% to expected processing time.

### Return Policy Exception Logic

When a return falls outside standard policy, evaluate in this order:

1. **Is the product defective?** If yes, accept regardless of window or condition. Defective products are the company's problem, not the customer's.
2. **Is this a high-value customer?** (Top 10% by LTV) If yes, accept with standard refund. The retention math almost always favours the exception.
3. **Is the request reasonable to a neutral observer?** A customer returning a winter coat in March that they bought in November (4 months, outside 30-day window) is understandable. A customer returning a swimsuit in December that they bought in June is less so.
4. **What is the disposition outcome?** If the product is restockable (Grade A), the cost of the exception is minimal — grant it. If it's Grade C or worse, the exception costs real margin.
5. **Does granting create a precedent risk?** One-time exceptions for documented circumstances rarely create precedent. Publicised exceptions (social media complaints) always do.

## Key Edge Cases

These are situations where standard workflows fail. Brief summaries — see [edge-cases.md](references/edge-cases.md) for full analysis.

1. **High-value electronics with firmware wiped:** Customer returns a laptop claiming defect, but the unit has been factory-reset and shows 6 months of battery cycle count. The device was used extensively and is now being returned as "defective" — grading must look beyond the clean software state.

2. **Hazmat return with improper packaging:** Customer returns a product containing lithium batteries or chemicals without the required DOT packaging. Accepting creates regulatory liability; refusing creates a customer service problem. The product cannot go back through standard parcel return shipping.

3. **Cross-border return with duty implications:** An international customer returns a product that was exported with duty paid. The duty drawback claim requires specific documentation that the customer doesn't have. The return shipping cost may exceed the product value.

4. **Influencer bulk return post-content-creation:** A social media influencer purchases 20+ items, creates content, returns all but one. Technically within policy, but the brand value was extracted. Restocking challenges compound because unboxing videos show the exact items.

5. **Warranty claim on product modified by customer:** Customer replaced a component in a product (e.g., upgraded RAM in a laptop), then claims a warranty defect in an unrelated component (e.g., screen failure). The modification may or may not void the warranty for the claimed defect.

6. **Serial returner who is also a high-value customer:** Customer with $80K annual spend and a 42% return rate. Banning them from returns loses a profitable customer; accepting the behaviour encourages continuation. Requires nuanced segmentation beyond simple return rate.

7. **Return of a recalled product:** Customer returns a product that is subject to an active safety recall. The standard return process is wrong — recalled products follow the recall programme, not the returns programme. Mixing them creates liability and reporting errors.

8. **Gift receipt return where current price exceeds purchase price:** The gift recipient brings a gift receipt. The item is now selling for $30 more than the gift-giver paid. Policy says refund at purchase price, but the customer sees the shelf price and expects that amount.

## Communication Patterns

### Tone Calibration

- **Standard refund confirmation:** Warm, efficient. Lead with the resolution amount and timeline, not the process.
- **Denial of return:** Empathetic but clear. Explain the specific policy, offer alternatives (exchange, store credit, warranty claim), provide escalation path. Never leave the customer with no options.
- **Fraud investigation hold:** Neutral, factual. "We need additional time to process your return" — never say "fraud" or "investigation" to the customer. Provide a timeline. Internal communications are where you document the fraud indicators.
- **Restocking fee explanation:** Transparent. Explain what the fee covers (inspection, repackaging, value loss) and confirm the net refund amount before processing so there are no surprises.
- **Vendor RTV claim:** Professional, evidence-based. Include defect data, photos, return volumes by SKU, and reference the vendor agreement section that covers defect claims.

### Key Templates

Brief templates below. Full versions with variables in [communication-templates.md](references/communication-templates.md).

**RMA approval:** Subject: `Return Approved — Order #{order_id}`. Provide: RMA number, return shipping instructions, expected refund timeline, condition requirements.

**Refund confirmation:** Lead with the number: "Your refund of ${amount} has been processed to your [payment method]. Please allow [X] business days."

**Fraud hold notice:** "Your return is being reviewed by our processing team. We expect to have an update within [X] business days. We appreciate your patience."

## Escalation Protocols

### Automatic Escalation Triggers

| Trigger                                                            | Action                                                           | Timeline          |
| ------------------------------------------------------------------ | ---------------------------------------------------------------- | ----------------- |
| Return value > $5,000 (single item)                                | Supervisor approval required before refund                       | Before processing |
| Fraud score ≥ 80                                                   | Hold refund, route to fraud review team                          | Immediately       |
| Customer has filed chargeback simultaneously                       | Halt return processing, coordinate with payments team            | Within 1 hour     |
| Product identified as recalled                                     | Route to recall coordinator, do not process as standard return   | Immediately       |
| Vendor defect rate exceeds 5% for SKU                              | Notify merchandise and vendor management                         | Within 24 hours   |
| Third policy exception request from same customer in 12 months     | Manager review before granting                                   | Before processing |
| Suspected counterfeit in return stream                             | Pull from processing, photograph, notify LP and brand protection | Immediately       |
| Return involves regulated product (pharma, hazmat, medical device) | Route to compliance team                                         | Immediately       |

### Escalation Chain

Level 1 (Returns Associate) → Level 2 (Team Lead, 2 hours) → Level 3 (Returns Manager, 8 hours) → Level 4 (Director of Operations, 24 hours) → Level 5 (VP, 48+ hours or any single-item return > $25K)

## Performance Indicators

| Metric                                                | Target     | Red Flag   |
| ----------------------------------------------------- | ---------- | ---------- |
| Return processing time (receipt to refund)            | < 48 hours | > 96 hours |
| Inspection accuracy (grade agreement on audit)        | > 95%      | < 88%      |
| Restock rate (% of returns restocked as new/open box) | > 45%      | < 30%      |
| Fraud detection rate (confirmed fraud caught)         | > 80%      | < 60%      |
| False positive rate (legitimate returns flagged)      | < 3%       | > 8%       |
| Vendor recovery rate ($ recovered / $ eligible)       | > 70%      | < 45%      |
| Customer satisfaction (post-return CSAT)              | > 4.2/5.0  | < 3.5/5.0  |
| Cost per return processed                             | < $8.00    | > $15.00   |

## Additional Resources

- For detailed disposition trees, fraud scoring, vendor recovery frameworks, and grading standards, see [decision-frameworks.md](references/decision-frameworks.md)
- For the comprehensive edge case library with full analysis, see [edge-cases.md](references/edge-cases.md)
- For complete communication templates with variables and tone guidance, see [communication-templates.md](references/communication-templates.md)

### When to Use
Use this skill when you need to **design, improve, or troubleshoot returns and reverse logistics operations**:

- Defining or revising returns policies, grading standards, and disposition routes across channels.
- Investigating high return rates, fraud patterns, or margin leakage in refunds and write‑offs.
- Building SOPs, scorecards, or automation flows for RMAs, inspections, RTV, and warranty workflows in retail or e‑commerce environments.

## Limitations
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

When to use

Plan returns, inspection and reverse-logistics workflows.

What you get

The complete original guidance with attribution and declared limits.

How it works

Clarify the evidence and task scope, then use the source guidance within actual authorization.

Requirements

Return policy, product condition evidence, jurisdiction and authorized process scope.

Delivery and review notes

Original written content is supplied under CC BY 4.0 with attribution; repository code is separately MIT. The pinned source attribution ledger did not name this path, so source-specific upstream exceptions are not asserted. This source covers legal, tax, compliance or employment topics and is not professional advice. Referenced runtimes, scripts, integrations and sibling skills are not bundled or installed. Brief obvious-danger screening only; no functional test or comprehensive safety certification. Loading this text authorizes no external action.

Starting prompt

Use Returns & Reverse Logistics for [TASK]. Clarify Return policy, product condition evidence, jurisdiction and authorized process scope. Identify evidence gaps and missing dependencies. Do not claim results, approval or execution without evidence.

Not for

Treating this attributed guidance as installed software, professional certification or authorization for external actions.

What M11 added

German routing and delivery limits. Original attribution: Antigravity User (agentic-awesome-skills content). Original written content is supplied under CC BY 4.0 with attribution; repository code is separately MIT. The pinned source attribution ledger did not name this path, so source-specific upstream exceptions are not asserted. This source covers legal, tax, compliance or employment topics and is not professional advice. Referenced runtimes, scripts, integrations and sibling skills are not bundled or installed. Brief obvious-danger screening only; no functional test or comprehensive safety certification. Loading this text authorizes no external action.

Original authorship remains with sickn33/agentic-awesome-skills · Original source ↗
Original license & copyright
Attribution 4.0 International

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  b. Where Your right to use the Licensed Material has terminated under
     Section 6(a), it reinstates:

       1. automatically as of the date the violation is cured, provided
          it is cured within 30 days of Your discovery of the
          violation; or

       2. upon express reinstatement by the Licensor.

     For the avoidance of doubt, this Section 6(b) does not affect any
     right the Licensor may have to seek remedies for Your violations
     of this Public License.

  c. For the avoidance of doubt, the Licensor may also offer the
     Licensed Material under separate terms or conditions or stop
     distributing the Licensed Material at any time; however, doing so
     will not terminate this Public License.

  d. Sections 1, 5, 6, 7, and 8 survive termination of this Public
     License.


Section 7 -- Other Terms and Conditions.

  a. The Licensor shall not be bound by any additional or different
     terms or conditions communicated by You unless expressly agreed.

  b. Any arrangements, understandings, or agreements regarding the
     Licensed Material not stated herein are separate from and
     independent of the terms and conditions of this Public License.


Section 8 -- Interpretation.

  a. For the avoidance of doubt, this Public License does not, and
     shall not be interpreted to, reduce, limit, restrict, or impose
     conditions on any use of the Licensed Material that could lawfully
     be made without permission under this Public License.

  b. To the extent possible, if any provision of this Public License is
     deemed unenforceable, it shall be automatically reformed to the
     minimum extent necessary to make it enforceable. If the provision
     cannot be reformed, it shall be severed from this Public License
     without affecting the enforceability of the remaining terms and
     conditions.

  c. No term or condition of this Public License will be waived and no
     failure to comply consented to unless expressly agreed to by the
     Licensor.

  d. Nothing in this Public License constitutes or may be interpreted
     as a limitation upon, or waiver of, any privileges and immunities
     that apply to the Licensor or You, including from the legal
     processes of any jurisdiction or authority.


=======================================================================

Creative Commons is not a party to its public
licenses. Notwithstanding, Creative Commons may elect to apply one of
its public licenses to material it publishes and in those instances
will be considered the “Licensor.” The text of the Creative Commons
public licenses is dedicated to the public domain under the CC0 Public
Domain Dedication. Except for the limited purpose of indicating that
material is shared under a Creative Commons public license or as
otherwise permitted by the Creative Commons policies published at
creativecommons.org/policies, Creative Commons does not authorize the
use of the trademark "Creative Commons" or any other trademark or logo
of Creative Commons without its prior written consent including,
without limitation, in connection with any unauthorized modifications
to any of its public licenses or any other arrangements,
understandings, or agreements concerning use of licensed material. For
the avoidance of doubt, this paragraph does not form part of the
public licenses.

Creative Commons may be contacted at creativecommons.org.

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