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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Examples of skills in the library

1. Sales

find-icp-leads Scrape conference speakers, LinkedIn engagers, or job boards and qualify them against your ICP.

cold-email-sequence Generate personalized multi-step outreach using real activity signals.

funding-signal-monitor Get alerted when companies in your ICP raise a funding round.

2. AEO/SEO

programmatic-seo Generate 100+ SEO pages from a keyword list and content template.

competitor-content-watch Monitor competitor blogs, social posts, and job listings for strategy signals.

aeo-tracker Track where your brand appears (or doesn’t) in ChatGPT, Perplexity, and Claude answers.

3. Competitor Intel

pricing-monitor Track competitor pricing page changes over time.

battlecard-generator Research a competitor and generate a structured win/loss battlecard.

tech-stack-teardown Reveal what tools a company likely uses based on public signals.

…and many more across ads, marketing, research, and content workflows.

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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

---

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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