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Feishu Bridge

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appleweiping
feishu-bridge

Route Feishu/Lark content access for Codex. Use when the user asks to read, summarize, extract, search, create, update, or fill Feishu/Lark links, documents, wikis, Drive files, Base/bitable tables, Sheets, messages, forms, or pages; when Chinese prompts mention 飞书、飞书文档、飞书知识库、飞书多维表格、飞书表单、飞书链接、Lark, or lark-cli; or when deciding whether to use official Lark/Feishu API commands or Chrome automation for logged-in web pages.

Overview

Publisherappleweiping
RepositoryAGENT_RESOURCE
Skill namefeishu-bridge
Stars
78
Forks
10
Bundled files
1
LicenseApache-2.0
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.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

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

Installation

Install the Feishu Bridge 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/appleweiping/AGENT_RESOURCE/tree/master/skills/vipin/feishu-bridge
  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/appleweiping/AGENT_RESOURCE.git /tmp/AGENT_RESOURCE
mkdir -p .claude/skills
cp -r /tmp/AGENT_RESOURCE/skills/vipin/feishu-bridge .claude/skills/feishu-bridge
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Feishu Bridge 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 Feishu Bridge 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 Feishu Bridge 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.

Feishu Bridge

Use this as the router for Feishu/Lark work. Prefer official lark-cli API access whenever a task can be expressed as Docs/Wiki/Drive/Base/Sheets/IM/Calendar/etc. Use browser automation only for web-only flows such as opening arbitrary shared links, pages that require the user's live browser login state, or filling interactive forms.

Local Runtime

Use the lark-cli binary the user installed. If $env:LARK_CLI is set, it holds the full path to the binary; otherwise expect lark-cli on PATH:

powershell
$LARK_CLI = if ($env:LARK_CLI) { $env:LARK_CLI } else { "lark-cli" }
& $LARK_CLI --version

I use lark-cli 1.0.32 from the larksuite/cli release v1.0.32; see references/local-runtime.md.

For browser automation I use the chrome-automation skill from anbeime/skill, which drives the user's logged-in Chrome over CDP. It is not part of this repo; if it is not installed, use whatever browser-automation skill or tool the agent has. If there is none, say that the web-only step is blocked instead of guessing.

Routing

  1. Read lark-shared/SKILL.md before configuring, logging in, switching identities, or handling scope errors.
  2. If the user gives a Feishu/Lark document or asks to read/summarize/update a doc, use lark-doc. For docs v2 commands, always pass --api-version v2.
  3. If the user asks about a knowledge base / wiki node, use lark-wiki.
  4. If the user asks to search, upload, download, find a file, manage comments, or discover cloud objects, use lark-drive first.
  5. If a document contains an embedded spreadsheet or bitable, extract the token and switch to lark-sheets or lark-base rather than stopping at the embedded tag.
  6. If the user asks to read/write a multi-dimensional table / 多维表格 / bitable, use lark-base.
  7. If the user asks to send, reply, search, or inspect messages, use lark-im, and dry-run risky sends before execution.
  8. If the user gives a web link that cannot be cleanly handled by token/API, or asks to fill fields/buttons on a Feishu page/form, use browser automation against the user's logged-in browser (chrome-automation if installed).

Authentication

Assume personal user OAuth by default. Use bot identity only when the user explicitly asks for bot/app behavior.

Typical setup:

powershell
& $LARK_CLI config init --new
& $LARK_CLI auth login --recommend
& $LARK_CLI auth status

When config init or auth login emits a verification URL, forward the raw URL exactly as returned. Do not re-encode or rewrite it. If OAuth is not completed in the current session, report API read/write tests as blocked by user authorization rather than claiming success.

Safety

  • Do not expose app secrets, access tokens, or private document content in public wiki pages.
  • For public wiki records, preserve only neutral metadata, capability notes, and smoke-test status unless the user explicitly permits more detail.
  • Use --dry-run before high-risk writes when available.
  • Confirm intent before deleting, bulk editing, sending messages, changing permissions, or modifying important business data.

Smoke Test Checklist

  • & $LARK_CLI --version works.
  • Domain help works, for example docs --api-version v2 --help, wiki --help, base --help, and drive --help.
  • OAuth/config status is checked.
  • Read/write tests are performed only against user-approved Feishu resources.
  • Browser-fill tests use the browser-automation skill on a test page or explicitly approved Feishu form.
  • Tell the user which capabilities were verified and which are blocked (for example by missing OAuth scopes).

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 Feishu Bridge AI skill do?

Route Feishu/Lark content access for Codex. Use when the user asks to read, summarize, extract, search, create, update, or fill Feishu/Lark links, documents, wikis, Drive files, Base/bitable tables, Sheets, messages, forms, or pages; when Chinese prompts mention 飞书、飞书文档、飞书知识库、飞书多维表格、飞书表单、飞书链接、Lark, or lark-cli; or when deciding whether to use official Lark/Feishu API commands or Chrome automation for logged-in web pages.

Why use Feishu Bridge on TypingMind?

Because you install it once and use it with any model. Feishu Bridge 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 Feishu Bridge in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/appleweiping/AGENT_RESOURCE/tree/master/skills/vipin/feishu-bridge. 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 Feishu Bridge?

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 Feishu Bridge?

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

Is the Feishu Bridge AI skill free?

Yes. It is published on GitHub by appleweiping under the Apache-2.0 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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