Show HN: Open-Source GTM Skills for Claude Code, Codex, and Cursor
https://github.com/athina-ai/goose-skills
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
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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) ```
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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.
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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
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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.
One angle that jumps out for your skills set is integrating monitoring hooks. For instance, if you're generating those personalized email sequences or tracking brand mentions in AI chats, you'd want alerts for any hiccups in the underlying martech stack—think failed data syncs or automation errors that could derail your outreach. I've seen campaigns tank because a simple journey entry source glitched, and by the time you notice, leads are cold. Building in some continuous checks could make these agents even more robust, especially for scaling GTM efforts.
On that note, I've been using MarTech Monitoring (https://www.martechmonitoring.com) for SFMC oversight—it pings you on journey failures or data issues proactively, which has saved my bacon more than once during high-stakes launches. Doesn't replace the core skills you're building, but pairs nicely if you're feeding AI outputs into marketing automation. Anyway, props for open-sourcing it; I'll fork and play around with the competitor monitoring bits to automate some of our pricing page watches. What's your take on extending this to handle CRM integrations like SFMC directly?