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Curate A Team Library

CommunityPopular
MoizIbnYousaf
curate-a-team-library

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.

Overview

PublisherMoizIbnYousaf
Repositoryai-agent-skills
Skill namecurate-a-team-library
Stars
1.1K
Forks
133
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by MoizIbnYousaf on GitHub. Read the source before you install it.

Installation

Install the Curate A Team Library AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/MoizIbnYousaf/ai-agent-skills.git /tmp/ai-agent-skills
mkdir -p .claude/skills
cp -r /tmp/ai-agent-skills/skills/curate-a-team-library .claude/skills/curate-a-team-library
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Curate A Team Library in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Curate A Team Library on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Curate A Team Library is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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

Frequently asked questions

What does the Curate A Team Library AI skill do?

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.

Why use Curate A Team Library on TypingMind?

Because you install it once and use it with any model. Curate A Team Library is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Curate A Team Library in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/MoizIbnYousaf/ai-agent-skills/tree/main/skills/curate-a-team-library. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Curate A Team Library?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Curate A Team Library?

As many as you like. As long as a model supports skills, you can use Curate A Team Library with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Curate A Team Library AI skill free?

Yes. It is published on GitHub by MoizIbnYousaf under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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