Code Library Docs

Organization

zenobi-us

code-library-docs

Use when understanding an unfamiliar code library, reusing cached local repo docs, or generating repo-native AGENTS.md and llms.txt navigation for cloned libraries.

Overview

Publisher	zenobi-us
Repository	`dotfiles`
Skill name	`code-library-docs`
Stars	67
Forks	6
Bundled files	Instructions only
License	MIT
Links	Skill source Repository

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 zenobi-us on GitHub. Read the source before you install it.

Installation

Install the Code Library Docs 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.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/zenobi-us/dotfiles/tree/master/files/devtools/agent/bundles/developer/skills/devtools/code-library-docs

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

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/zenobi-us/dotfiles.git /tmp/dotfiles
mkdir -p .claude/skills
cp -r /tmp/dotfiles/files/devtools/agent/bundles/developer/skills/devtools/code-library-docs .claude/skills/code-library-docs

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

Use it in TypingMind

Enable Code Library Docs 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 Code Library Docs 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 Code Library Docs 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.

code-library-docs

Overview

Cache-first, docs-first library understanding. Prefer repo-native llms.txt, skills/, and docs/ before inventing summaries. If repo has no usable docs, build them once, cache them, reuse them.

When to Use

New dependency feels opaque
Need fast mental model of repo/library
Existing local store may already have summary
Need AGENTS.md that routes to best docs
Need fallback llms.txt for docs-poor repos

Flow

text
need library understanding?
  -> check local cache
    -> hit: read AGENTS.md + linked docs
    -> miss: gh clone repo into cache
      -> inspect repo llms.txt / skills/ / docs/
        -> found: link them from cache AGENTS.md
        -> none: generate cache llms.txt + brief

Cache Layout

text
$XDG_CACHE_HOME/agent-library-docs/
└── <owner>__<repo>/
    ├── repo/
    ├── AGENTS.md
    ├── llms.txt
    ├── briefs/
    └── meta.json

Quick Reference

Item	Rule
Cache key	`owner__repo`
Clone target	`.../<repo-key>/repo`
Discovery order	`llms.txt` -> `skills/` -> `docs/`
Generated docs	only when repo has none worth linking

Implementation

Search cache for repo key.
If missing, gh repo clone into cache $XDG_CACHE_HOME/agent-library-docs/<owner>__<repo>/repo/.
In cache AGENTS.md, link repo-native llms.txt, skills/, docs/ in that order.
If none exist, link cache llms.txt and generate it with a research-oriented subagent.
Store the useful brief beside it; reuse on next lookup.

Example

github.com/acme/widgets -> cache key acme__widgets

Common Mistakes

Cloning twice instead of reusing cache
Writing summary before checking repo-native docs
Hiding native llms.txt under generated junk
Using repo name only -> collisions
Treating generated brief like source truth

Frequently asked questions

What does the Code Library Docs AI skill do?

Use when understanding an unfamiliar code library, reusing cached local repo docs, or generating repo-native AGENTS.md and llms.txt navigation for cloned libraries.

Why use Code Library Docs on TypingMind?

Because you install it once and use it with any model. Code Library Docs 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 Code Library Docs in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/zenobi-us/dotfiles/tree/master/files/devtools/agent/bundles/developer/skills/devtools/code-library-docs. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Code Library Docs?

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 Code Library Docs?

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

Is the Code Library Docs AI skill free?

Yes. It is published on GitHub by zenobi-us 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

code-library-docs

Overview

When to Use

Flow

Cache Layout

Quick Reference

Implementation

Example

Common Mistakes

Frequently asked questions

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