varunk130

AI Gtm Skill Library — AI skill for Claude Code

AI community

31 opinionated GTM skills for Claude Code & GitHub Copilot — a complete revenue engine spanning discover, design, position, amplify, launch, optimize, and RevOps phases.

How to install AI Gtm Skill Library

This entry records only its repository, not the path inside it, so there is no exact command to give. Open varunk130/ai-gtm-skill-library and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What AI Gtm Skill Library does

31 opinionated GTM skills for Claude Code & GitHub Copilot — a complete revenue engine spanning discover, design, position, amplify, launch, optimize, and RevOps phases.

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README

🚀 AI GTM Skill Library

A library of 37 opinionated GTM skills for Claude Code and GitHub Copilot

[![Skills](https://img.shields.io/badge/Skills-37-blue?style=for-the-badge)](#skills-catalog) [![Frameworks](https://img.shields.io/badge/Frameworks-37-green?style=for-the-badge)](#framework-reference) [![License: MIT](https://img.shields.io/badge/License-MIT-yellow?style=for-the-badge)](LICENSE) [![How To Use](https://img.shields.io/badge/How_To_Use-Guide-purple?style=for-the-badge)](docs/HOW-TO-USE.md)

What this solves
Quickstart
Lifecycle overview
Skills catalog
Common workflows
Installation
Framework reference
Contributing
Related work
License

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 **37 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**

| Audience