curate-a-team-library

Solid

Use when building a managed team skills library for a real stack. Map work to shelves, browse before curating, write meaningful `whyHere` notes, and create a starter pack once the first pass is solid.

AI & Automation 1,073 stars 124 forks Updated 1 months ago MIT

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Skill Content

# Curate A Team Library ## Goal Build a managed skills library that another teammate or agent can actually browse, trust, and install. Do not hand-edit `skills.json`, `README.md`, or `WORK_AREAS.md` when the CLI already has the mutation you need. ## First Move Start with a managed workspace. ```bash npx ai-agent-skills init-library <name> cd <name> ``` Ask at most 3 short questions before acting: - what kinds of work the library needs to support - whether the first pass should stay small and opinionated or aim broader - whether the output should stay local or end as a shareable GitHub repo ## Shelf System Use these 5 work areas as the shelf system: - `frontend`: web UI, browser work, design systems, visual polish - `backend`: APIs, data, security, infrastructure, runtime systems - `mobile`: iOS, Android, React Native, Expo, device testing, app delivery - `workflow`: docs, testing, release work, files, research, planning - `agent-engineering`: prompts, evals, tools, orchestration, agent runtime design Map the user's stack to shelves before adding anything. - Example: `React Native + Node backend` maps to `mobile` + `backend`. - Add `workflow` only when testing, release, docs, or research are real parts of the job. - Add `agent-engineering` only when the team is doing AI features, prompts, evals, or tooling. - Make sure the first pass covers every primary shelf the user explicitly named. ## Discovery Loop Browse before curating. ```bash npx ai-agent-skills list ...

Details

Author
MoizIbnYousaf
Repository
MoizIbnYousaf/Ai-Agent-Skills
Created
5 months ago
Last Updated
1 months ago
Language
JavaScript
License
MIT

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