Agent Skill Repository Index

Community

aAAaqwq

agent-skill-repository-index

Find and compare Daniel's reviewed GitHub skill sources. Use for high-star skill discovery, link checks, or safe installation, update, and removal of one selected skill.

Overview

Publisher	aAAaqwq
Repository	`AGI-Super-Team`
Skill name	`agent-skill-repository-index`
Stars	98
Forks	23
Bundled files	5
License	MIT
Links	Skill source Repository Homepage

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.
5 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by aAAaqwq on GitHub. Read the source before you install it.

Installation

Install the Agent Skill Repository Index AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
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.

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/aAAaqwq/AGI-Super-Team.git /tmp/AGI-Super-Team
mkdir -p .claude/skills
cp -r /tmp/AGI-Super-Team/skills/agent-skill-repository-index .claude/skills/agent-skill-repository-index

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Agent Skill Repository Index 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 Agent Skill Repository Index 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 Agent Skill Repository Index 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.

Daniel's Recommended High-Star GitHub Skills

Route agents to reviewed upstream repositories without globally activating every repository. Treat popularity as a discovery signal, never as proof of quality or safety.

Load Only What You Need

Read references/repositories.md to find and compare sources.
Read references/star-snapshot.md only when the user asks about popularity or ranking.
Read references/installing.md before installing, updating, linking, migrating, or removing a skill.
Run python3 scripts/verify_repository_index.py --repo-root /absolute/path/to/repos to verify index-to-clone identity. Add --remote when current GitHub reachability matters.

Fast Workflow

Resolve intent: discovery, comparison, installation, update, removal, or link verification.
Search already installed skills first. Reuse an equivalent Codex-native skill instead of adding a duplicate.
Shortlist at most three sources by capability, runtime compatibility, maintenance, license, and risk class. Use stars only as a tie-breaker.
If a repository is an awesome-* catalog or has no root SKILL.md, use it for discovery only. Trace the selected item to its original upstream.
Inspect one candidate directory completely: SKILL.md, adjacent resources, license, Git remote, commit, worktree state, scripts, hooks, dependencies, credentials, network actions, and persistent state.
Classify it as DAILY, LIBRARY, QUARANTINE, or DUPLICATE. Do not install QUARANTINE capabilities without explicit authorization for their runtime effects.
Follow references/installing.md. Install only the reviewed skill subdirectory, not the entire aggregator.
Validate metadata and resources, then test one positive trigger and one negative trigger.
Return an installation receipt containing upstream URL, local source, subpath, commit, license, class, target, install method, adaptations, checks, update method, and rollback method.

Efficient Search

Search metadata before opening files:

bash
rg -n --glob 'SKILL.md' '^(name|description):.*KEYWORD' /absolute/path/to/repos

Then inspect only the chosen skill directory. Scan risky behavior without printing secret values:

bash
rg -l --hidden '(curl.+\|\s*(sh|bash)|sudo\b|rm\s+-rf|cookies?|auth|token|secret|hook|auto.?update|deploy|tunnel|daemon|memory)' /absolute/path/to/candidate

Decision Rules

Prefer the original upstream, a Codex-native plugin, or a single passive instruction skill.
Prefer a symlink for a clean reviewed local source that should update with its repository; prefer a normalized copy when Codex-specific adaptation is required.
Keep catalogs, full runtimes, hooks, MCP servers, auto-updaters, deployers, tunnels, browser profiles, and persistent-memory systems inactive during discovery.
Preserve dirty repositories and existing targets. Never overwrite or delete them to complete an installation.
Fetch live star counts only when the user asks for a current ranking. Label the bundled figures as Daniel's July 2026 snapshot.

For “redesign this landing page,” invoke the selected design skill. For “which high-star design skill repository does Daniel recommend, and install the safest option,” invoke this skill first.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Agent Skill Repository Index AI skill do?

Find and compare Daniel's reviewed GitHub skill sources. Use for high-star skill discovery, link checks, or safe installation, update, and removal of one selected skill.

Why use Agent Skill Repository Index on TypingMind?

Because you install it once and use it with any model. Agent Skill Repository Index 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 Agent Skill Repository Index in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/aAAaqwq/AGI-Super-Team/tree/main/skills/agent-skill-repository-index. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Agent Skill Repository Index?

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 Agent Skill Repository Index?

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

Is the Agent Skill Repository Index AI skill free?

Yes. It is published on GitHub by aAAaqwq 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Daniel's Recommended High-Star GitHub Skills

Load Only What You Need

Fast Workflow

Efficient Search

Decision Rules

Bundled files

Frequently asked questions

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