Open-Source GTM Skills for Claude Code, Codex, and Cursor
We built an open-source library of 125 GTM (go-to-market) skills that plug into AI coding agents like Claude Code, Codex, and Cursor. With these skills an AI agent can automatically: - Find ICP leads from conference speakers, LinkedIn activity, or job boards - Generate personalized cold email sequences - Monitor competitor blogs, pricing pages, and hiring signals - Generate programmatic SEO pages from keyword lists - Track where your brand appears in ChatGPT, Perplexity, and Claude answers --- How skills work Each skill is a structured markdown file containing instructions, scripts, and tool…
What it does
In the maker’s words, at launch
We built an open-source library of 125 GTM (go-to-market) skills that plug into AI coding agents like Claude Code, Codex, and Cursor. With these skills an AI agent can automatically: - Find ICP leads from conference speakers, LinkedIn activity, or job boards - Generate personalized cold email sequences - Monitor competitor blogs, pricing pages, and hiring signals - Generate programmatic SEO pages from keyword lists - Track where your brand appears in ChatGPT, Perplexity, and Claude answers --- How skills work Each skill is a structured markdown file containing instructions, scripts, and tool definitions that an AI agent can follow. Think of them as reusable playbooks for sales, marketing, and growth work — but executed by your AI agent instead of manually. Example Install any skill with one command: ``` npx goose-skills install <slug> ``` Platform support ``` npx goose-skills install <slug> --claude (default – Claude Code) npx goose-skills install <slug> --codex (OpenAI Codex) npx goose-skills install <slug> --cursor (Cursor, requires --project-dir) ``` --- Why we built this We've been using Claude Code for GTM work — not just coding. We run outbound campaigns, find leads, monitor competitors, audit SEO, and generate marketing workflows using agents. The problem was that every time we wanted to run a workflow we had to re-explain it. Skills solve this: write the workflow once, install it, and your agent can execute it reliably. --- We open-sourced the library because we think GTM teams will increasingly orchestrate AI agents to run core workflows — and we wanted to build the skill ecosystem in the open. If you want an agent that already knows how to do GTM work, try Gooseworks — an agent with these skills pre-installed, plus filesystem access, memory, and integrations with dozens of tools: https://gooseworks.ai --- I'd love feedback on two things: 1. What GTM workflows would you want an AI agent to run? 2. Are there skills you'd want added to the library? Happy to answer questions about the skill format, how we built this, or how to contribute your own.
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