🚀 AI GTM Skill Library

A library of 31 opinionated GTM skills for Claude Code and GitHub Copilot

What this solves

GTM teams produce the same artifacts over and over — positioning frameworks, launch plans, battle cards, renewal playbooks, forecast models, EBR decks. The work is often repeated from scratch because the playbook lives in someone's head, in a slide somewhere, or in last quarter's deck.

This library replaces that with 31 named skills, each one a self-contained Markdown file that teaches an AI coding assistant how to produce a specific GTM artifact. A skill encodes:

• An opinionated framework (a named mnemonic, e.g. PULSE, THRIVE, FORECAST)
• The structured process to apply it
• The exact output spec (sections, tables, file names)
• The other skills it pairs with upstream and downstream

The result: the assistant produces the same caliber of artifact each time, in minutes instead of days, and the output is consistent across people and across projects.

Who it's for

Contents

• Quickstart
• Lifecycle overview
• Skills catalog — 31 skills grouped by phase
• Common workflows
• Installation — manual + Python installer
• Framework reference — all 31 mnemonics
• Contributing · License

Quickstart

# 1. Clone the repo
git clone https://github.com/varunk130/ai-gtm-skill-library.git

# 2. Install all 31 skills for Claude Code
mkdir -p ~/.claude/skills
cp -r ai-gtm-skill-library/gtm-skills/*    ~/.claude/skills/
cp -r ai-gtm-skill-library/revops-skills/* ~/.claude/skills/

# 3. Restart Claude Code, then invoke a skill by name:
#      signal-radar          — macro-market signal detection
#      position-lock         — brand positioning architecture
#      launch-command        — full launch orchestration
#      flywheel-sync         — audit health of the full skill system

First-time setup, GitHub Copilot integration, and FAQs are in the How to Use Guide.

Lifecycle overview

flowchart LR
    D[Discover<br/>2 skills]:::p1 --> DE[Design<br/>2 skills]:::p2 --> P[Position<br/>4 skills]:::p3 --> A[Amplify<br/>5 skills]:::p4 --> L[Launch<br/>3 skills]:::p5 --> O[Optimize<br/>3 skills]:::p6 --> R[RevOps<br/>10 skills]:::p7
    R -.-> D
    FS[flywheel-sync · gtm-exec-plan<br/>system + orchestrator]:::sys
    FS -.- D & DE & P & A & L & O & R

    classDef p1 fill:#0078D4,color:#fff,stroke:#005A9E
    classDef p2 fill:#00B7C3,color:#fff,stroke:#008B94
    classDef p3 fill:#5C2D91,color:#fff,stroke:#451F6E
    classDef p4 fill:#FF8C00,color:#fff,stroke:#CC7000
    classDef p5 fill:#D13438,color:#fff,stroke:#A4262C
    classDef p6 fill:#107C10,color:#fff,stroke:#0B6A0B
    classDef p7 fill:#8764B8,color:#fff,stroke:#5C4399
    classDef sys fill:#B4009E,color:#fff,stroke:#8C0078

Seven lifecycle phases (Discover → Design → Position → Amplify → Launch → Optimize → RevOps), 29 domain skills, plus 2 system skills in a separate orchestration layer (flywheel-sync audits the system, gtm-exec-plan orchestrates an executive deliverable).

Skills catalog

Discover (2)

Design (2)

Position (4)

Amplify (5)

Launch (3)

Optimize (3)

RevOps (10)

System & orchestration (2)

Common workflows

See samples/ for a full worked example: a 3-page exec brief and a 4-slide deck produced by gtm-exec-plan for the fictional ACME Insight Studio mock product, with screenshots of the formatted output.

Installation

Each skill is a standalone SKILL.md file. Install them once into your assistant's skills directory and invoke by name.

# Clone
git clone https://github.com/varunk130/ai-gtm-skill-library.git
cd ai-gtm-skill-library

# Claude Code — install both clusters
cp -r gtm-skills/*    ~/.claude/skills/
cp -r revops-skills/* ~/.claude/skills/

# GitHub Copilot — install into a target repo's .github/skills
cp -r gtm-skills/*    /path/to/your-repo/.github/skills/
cp -r revops-skills/* /path/to/your-repo/.github/skills/

# Or use the installer (handles both clusters automatically)
python scripts/install.py install --platform claude
python scripts/install.py install --platform copilot
python scripts/install.py install --skill signal-radar --platform claude

For GitHub Copilot, you can also reference skills from .github/copilot-instructions.md or add them as custom instructions in Copilot Chat. Full guide in docs/HOW-TO-USE.md.

Directory layout

ai-gtm-skill-library/
├── README.md
├── docs/HOW-TO-USE.md
├── scripts/install.py            # CLI installer (Python 3.9+)
├── gtm-skills/                   # 21 GTM skills (19 lifecycle + 2 system)
│   ├── abm-playbook/             # TIER
│   ├── battle-scanner/           # ARMOR
│   ├── budget-allocator/         # APEX
│   ├── community-catalyst/       # LOOP
│   ├── competitive-battlecard/   # BATTLE
│   ├── competitive-exec-brief/   # SHARP
│   ├── demand-engine/            # WAVE
│   ├── enablement-forge/         # CRAFT
│   ├── flywheel-sync/            # ORBIT
│   ├── growth-loop/              # ANCHOR
│   ├── gtm-exec-plan/            # PRIME
│   ├── journey-architect/        # 7-GATE
│   ├── launch-command/           # IGNITE
│   ├── launch-debrief/           # MIRROR
│   ├── launch-pulse/             # VITAL
│   ├── market-analyzer/          # SCOPE
│   ├── partner-blueprint/        # BRIDGE
│   ├── position-lock/            # PRISM
│   ├── product-announcement/     # HERALD
│   ├── signal-radar/             # PULSE
│   └── whitespace-finder/        # DEPTH
├── revops-skills/                # 10 post-sale & revenue-engine skills
│   ├── customer-success/         # THRIVE
│   ├── customer-analytics/       # LENS
│   ├── customer-advocacy/        # AMPLIFY
│   ├── lead-nurture/             # NURTURE
│   ├── loyalty-lifecycle/        # BOND
│   ├── referral-program/         # RIPPLE
│   ├── renewal-orchestration/    # RENEW
│   ├── revenue-analytics/        # LADDER
│   ├── revenue-forecasting/      # FORECAST
│   └── voice-of-customer/        # ECHO
├── samples/                      # Worked examples
├── python_runtime/               # Helper utilities for skills that emit metrics
└── tests/                        # pytest coverage for the runtime utilities

Framework reference

Contributing

Contributions are welcome — see CONTRIBUTING.md. The short version:

1. Fork and create a branch (feat/, fix/, or docs/ prefix)
2. Add or improve a SKILL.md under gtm-skills/ or revops-skills/
3. Keep the existing YAML frontmatter (name + description) and section structure
4. Open a PR with a brief description of the change

Related work

Part of a portfolio of AI agent and skill libraries for product, GTM, and decision-making teams.

Discovery & research

• ai-customer-discovery-skills — Turn raw customer signal into validated product opportunities (5 of 12 shipped)
• jtbd-extractor — Extract Jobs-to-be-Done statements from research, with opportunity scoring

Strategy & decisions

• claude-code-skills — 29 production-grade skills for finance, product, strategy, and game theory
• AI-Builder-Decision-Analyst — 11 skills that catch bad bets before you ship across DECIDE / BUILD / COMMUNICATE / LEARN

Go-to-market

• ai-marketing-claude-skills — 12 marketing-ops skills with scoring algorithms and statistical frameworks
• ai-partner-ecosystem-analysis — Deep research on any ISV, partner, or competitor with a 1-slide PPTX output

UX & design

• ai-ux-skill-library — 12 frameworks for designing UX for AI products, agents, and AI-powered experiences

Multi-agent demos

• ai-pm-agents-suite — 6-agent pipeline plus 3 standalone PM agents (decision engine, financial analyst, stakeholder translator) that turn customer feedback into strategy, PRDs, and comms
• ai-legal-agents-skills-os — Agentic operating system for legal work: one master agent, nine specialist skills, MCP + MCP Apps
• ai-growth-os — Compound: a multi-agent growth experiment engine that runs the find → design → ship → learn loop end-to-end, offline
• ai-customer-acquisition — Beacon: five agents allocate a budget across channels, build the creative, and reallocate on week-1 results
• ai-revops — Atlas: nine agents across GTM, Partnerships, and RevOps take a company into a new market with one Vertical Launch Plan
• ai-marketing-os — Run a marketing org as an orchestrated AI team: 9 agents, 12 skills, end-to-end missions that ship real artifacts

Evaluation & operations

• AI-Eval-Skills — 7 skills to plan, generate, run, interpret, and triage AI agent evaluations
• ai-workflow-playbooks — 21 playbooks + 10 skills + 4 guardians + 5 runbooks across the 7-stage delivery pipeline

License

MIT — see LICENSE.

Maintained by Varun Kulkarni