curate-a-team-library
MoizIbnYousaf/ai-agent-skills/skills/curate-a-team-library/SKILL.md
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.
Skill1.1k starsChanged 7 months ago
--- name: curate-a-team-library description: 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. category: workflow version: 4.1.0 --- # 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 --area <work-area> npx ai-agent-skills search <query> npx ai-agent-skills collections ``` If the user named multiple primary shelves, inspect each one before choosing skills. ## Mutation Rules Keep the first pass small: around 3 to 8 skills. - Use `add` first for bundled picks and simple GitHub imports. - Use `catalog` when you want an upstream entry without copying files into `skills/`. - Use `vendor` only for true house copies the team wants to edit or own locally. Every mutation must include explicit curator metadata like `--area`, `--branch`, and `--why`. Good branch names: - `React Native / UI` - `React Native / QA` - `Node / APIs` - `Node / Data` - `Docs / Release` Bad branch names: - `stuff` - `misc` - `notes` ## Writing Good `whyHere` `whyHere` is curator judgment, not filler. - Mention the stack or workflow it supports. - Mention the gap it fills in this library. - Be honest about why it belongs here. Good: `Covers React Native testing so the mobile shelf has a real device-validation option.` Bad: `I want this on my shelf.` ## Featured Picks Use `--featured` sparingly. - keep it to about 2 to 3 featured skills per shelf - reserve it for skills you would tell a new teammate to install first ## Collections After the library has about 5 to 8 solid picks, create a `starter-pack` collection. - Use `--collection starter-pack` while adding new skills. - Or use `npx ai-agent-skills curate <skill> --collection starter-pack` for existing entries. - Keep the collection small and onboarding-friendly. ## Sanity Check Before finishing: ```bash npx ai-agent-skills list --area <work-area> npx ai-agent-skills collections npx ai-agent-skills build-docs ``` - Run `list --area` for each primary shelf you touched. - If you created `starter-pack`, confirm the install command looks right. - Make sure the final shelf mix still matches the user's actual stack. ## Finish Return: - what you added - which shelves you used and why - which skills are featured - what `starter-pack` contains, if you created one - whether the library is local-only or ready to share
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