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Enrich

Enrich is an agent skill (a SKILL.md file) from sharpdeveye/maestro. Agents load it when the agent needs access to information beyond its training data — knowledge sources, RAG pipelines, or grounding data. It works with Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot and OpenCode and has 591 GitHub stars.

github.com/sharpdeveye/maestro/source/skills/enrich (opens in a new tab)

Data as of from the GitHub API; description from the skill's SKILL.md. Report an error

View on GitHub (opens in a new tab)

Add this skill

Claude

Claude Code loads skills from ~/.claude/skills/ (all projects) or .claude/skills/ (one project):

git clone --depth 1 https://github.com/sharpdeveye/maestro.git
cp -r maestro/source/skills/enrich ~/.claude/skills/enrich   # personal, or .claude/skills in a project

In the Claude apps, zip the enrich folder and upload it under Customize > Skills > + > Upload a skill (code execution must be on).

ChatGPT / Codex

Codex reads skills from .agents/skills/ in a repo or ~/.agents/skills/ for every project:

git clone --depth 1 https://github.com/sharpdeveye/maestro.git
cp -r maestro/source/skills/enrich .agents/skills/enrich   # repo; ~/.agents/skills for all projects

Standalone skills also load in the ChatGPT desktop app.

Cursor

Cursor loads skills from .cursor/skills/ (or ~/.cursor/skills/) and also reads .claude/skills/:

git clone --depth 1 https://github.com/sharpdeveye/maestro.git
cp -r maestro/source/skills/enrich .cursor/skills/enrich   # project; ~/.cursor/skills for all projects

Source (checked Oct 7, 2026): code.claude.com/docs/en/skills (opens in a new tab), support.claude.com/en/articles/12512180-using-skills-in-claude (opens in a new tab), learn.chatgpt.com/docs/build-skills (opens in a new tab), cursor.com/docs/context/skills (opens in a new tab)

What this skill does

Use when the agent needs access to information beyond its training data — knowledge sources, RAG pipelines, or grounding data. Invoke /agent-workflow — it contains workflow principles, anti-patterns, and the Context Gathering Protocol. Follow the protocol before proceeding — if no workflow context exists yet, you MUST run /teach-maestro first. Consult the knowledge-systems reference in the agent-workflow skill for RAG architecture, chunking strategies, and retrieval patterns.

When it triggers

  • Use when the agent needs access to information beyond its training data — knowledge sources, RAG pipelines, or grounding data.

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FAQ

Enrich FAQ

Still curious? Email info@appsgit.com.

How do I install the Enrich skill?

Copy the enrich folder (the one containing SKILL.md) into ~/.claude/skills/ for Claude Code, .agents/skills/ for Codex or .cursor/skills/ for Cursor. The agent picks it up automatically when a task matches its description.

Is the Enrich skill free?

Yes. The repository is open source under the MIT license.

Is Enrich maintained?

The repository's most recent commit was on Apr 29, 2026. Its latest release is v2.0.0. appsgit only lists skills from repositories with a commit in the last six months.