Goose Skills provides a curated library of Go-to-Market (GTM) skills designed to enhance AI coding assistants such as Claude Code, Codex, and Cursor. It addresses the need for readily available, specialized AI tools for sales, marketing, competitive intelligence, SEO, and lead generation, enabling users to quickly implement sophisticated GTM workflows within their existing AI development environments.

How It Works

The project organizes its functionality into a hierarchical structure of "skills": atomic "Capabilities" for single tasks, "Composites" for multi-step processes, and "Playbooks" for end-to-end workflows. These skills are packaged for direct integration with target AI platforms. Installation involves using npx to deploy skill definitions (e.g., .md files for Claude Code, rule files for Cursor) into the respective AI assistant's configuration directories, allowing users to trigger these GTM functions via natural language prompts.

Quick Start & Requirements

• Primary install command: npx goose-skills install <slug>
• Platform Targets:
  • --claude: Installs to ~/.claude/skills/<slug>/ (default).
  • --codex: Installs to ~/.claude/skills/<slug>/ then copies to ~/.codex/skills/<slug>/.
  • --cursor: Installs to ~/.claude/skills/<slug>/ then writes .cursor/rules/goose-<slug>.mdc at the specified --project-dir.
• Prerequisites: Node.js (implied by npx), and a compatible AI coding assistant (Claude Code, Codex, or Cursor).
• Links:
  • GitHub: https://github.com/athina-ai/goose-skills.git

Highlighted Details

• Extensive Skill Library: Features over 125 skills, comprising 55 atomic Capabilities, 61 multi-step Composites, and 9 end-to-end Playbooks.
• Broad GTM Coverage: Encompasses critical areas including Ads, Brand Management, Competitive Intelligence, Content Creation, Lead Generation, Monitoring, Outreach, Research, and SEO.
• Platform Integration: Specifically engineered for seamless integration with Claude Code, Codex, and Cursor, with distinct installation paths for each.
• Actionable Tools: Includes specialized skills like google-ad-scraper, battlecard-generator, apollo-lead-finder, cold-email-outreach, programmatic-seo-planner, and voice-of-customer-synthesizer.

Maintenance & Community

No specific details regarding maintainers, community channels (e.g., Discord, Slack), or roadmap were provided in the README.

Licensing & Compatibility

• License: MIT.
• Compatibility: The MIT license permits commercial use and integration into closed-source projects.

Limitations & Caveats

The project's focus is on integration with specific AI coding assistants; functionality outside these platforms is not detailed. The --cursor installation requires a --project-dir argument. The extensive number of skills may necessitate careful selection and management to avoid complexity.