Reading Livekit Docs logo

Reading Livekit Docs

Organization
livekit
reading-livekit-docs

Looks up current LiveKit facts (API signatures, CLI flags, config options, model and provider support, SDK changelogs, pricing) from the docs instead of answering from memory. Use whenever a question touches LiveKit specifics: "does LiveKit support X", "what changed in agents 1.8", "what are the arguments to Y", "how much does LiveKit cost", "find an example of Z in the LiveKit repos", or before writing any LiveKit code. Other LiveKit skills load this one first. Covers the LiveKit Docs MCP server and the `lk docs` CLI.

Overview

Publisherlivekit
Repositoryagent-skills
Skill namereading-livekit-docs
Stars
71
Forks
12
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 livekit on GitHub. Read the source before you install it.

Installation

Install the Reading Livekit Docs 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.
    https://github.com/livekit/agent-skills/tree/main/skills/reading-livekit-docs
  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/livekit/agent-skills.git /tmp/agent-skills
mkdir -p .claude/skills
cp -r /tmp/agent-skills/skills/reading-livekit-docs .claude/skills/reading-livekit-docs
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Reading Livekit 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 Reading Livekit 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 Reading Livekit 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.

Reading LiveKit documentation

LiveKit's SDKs change faster than model training data, so anything you remember about a LiveKit API, CLI flag, or default is a guess. Wrong guesses cost time: a wrong flag wastes a run, a wrong signature wastes a build.

Every LiveKit-specific fact you state or put in code should come from a lookup in this session. That includes facts you're confident about and patterns you've seen in other repos.

Where to look, in order of preference

1. The LiveKit Docs MCP server. If its tools are in your session, use them. They're the same source the CLI uses, with less friction.

2. lk docs. Available wherever the LiveKit CLI is installed, with no MCP setup. Use it when the MCP tools aren't there; don't stop to ask the user to install anything first. It can search the docs, fetch pages, search code across LiveKit's repositories, show an SDK's recent changelog, report pricing, and submit feedback. Start with:

bash
lk docs --help
lk docs search "agent simulations"

Once search has shown you the right page, fetch it. There's machine-readable output if you'd rather parse than read.

3. Web search against docs.livekit.io. Only when neither of the above is available. Tell the user you fell back to it, and mark generated code as unverified.

How to research

  • Search before you read. Search returns per-page excerpts, which is usually enough to pick the right page. Fetch full pages only once you know which one you need, or you'll fill the context window with pages you don't use.
  • Use code search for how, docs for what. Docs tell you a parameter exists. LiveKit's own examples show how it's called. When a docs page and a working example disagree, go with the example and mention the discrepancy.
  • Use the changelog for version questions. "Is X available yet", "when did Y change", and "why doesn't this argument exist" are answered by the changelog, not search.
  • Check the version you're on. The installed SDK and CLI determine what works, and a documented feature may not exist in the installed version. For any CLI command, --help on the installed binary outranks every other source.

Reporting what you found

  • Cite the page when a decision rests on it, so the user can check you.
  • Say when you couldn't verify something. "I could not confirm this signature against the docs" is useful to the user. A silent guess isn't.
  • Mark unverified code. If you had to write LiveKit code without a lookup, add a comment at the call site saying it's unverified, and say so in your reply.
  • Don't invent a flag or parameter to make an example look complete. An incomplete example with a note is better than a plausible fabrication.

When the docs are wrong

Sometimes a page contradicts the SDK source or the CLI's --help. When that happens:

  • Go with what runs. --help, the installed SDK's source, and a working example outrank a prose page. Tell the user which one you followed and why.
  • Report it with the docs feedback command, and tell the user you did, so the next person doesn't hit the same error.

lk docs sometimes warns about version skew when the docs server is a little ahead of the CLI. That's routine and the results are still good. Suggest updating lk and keep going.

Related skills

  • Building an agent: building-livekit-agents
  • Live-testing one during development: debugging-livekit-agents
  • Unit tests: testing-livekit-agents
  • Simulations: writing-livekit-scenarios, running-livekit-simulations

Frequently asked questions

What does the Reading Livekit Docs AI skill do?

Looks up current LiveKit facts (API signatures, CLI flags, config options, model and provider support, SDK changelogs, pricing) from the docs instead of answering from memory. Use whenever a question touches LiveKit specifics: "does LiveKit support X", "what changed in agents 1.8", "what are the arguments to Y", "how much does LiveKit cost", "find an example of Z in the LiveKit repos", or before writing any LiveKit code. Other LiveKit skills load this one first. Covers the LiveKit Docs MCP server and the `lk docs` CLI.

Why use Reading Livekit Docs on TypingMind?

Because you install it once and use it with any model. Reading Livekit 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 Reading Livekit Docs in TypingMind?

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

Which AI models can use Reading Livekit 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 Reading Livekit Docs?

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

Is the Reading Livekit Docs AI skill free?

Yes. It is published on GitHub by livekit 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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