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Feishu Fetch Doc

CommunityPopular
op7418
feishu-fetch-doc

获取飞书云文档内容。返回文档的 Markdown 内容,支持处理文档中的图片、文件和画板(需配合 feishu_doc_media 工具)。

Overview

Publisherop7418
RepositoryCodePilot
Skill namefeishu-fetch-doc
Stars
6.5K
Forks
693
Bundled files
Instructions only
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 op7418 on GitHub. Read the source before you install it.

Installation

Install the Feishu Fetch Doc 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.

Use it in TypingMind

Enable Feishu Fetch Doc 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 Fetch Doc 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 Fetch Doc 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_mcp_fetch_doc

获取飞书云文档的 Markdown 内容(Lark-flavored 格式)。

重要:图片、文件、画板的处理

文档中的图片、文件、画板需要通过 feishu_doc_media(action: download)工具单独获取!

识别格式

返回的 Markdown 中,媒体文件以 HTML 标签形式出现:

  • 图片

    html
    <image token="Z1FjxxxxxxxxxxxxxxxxxxxtnAc" width="1833" height="2491" align="center"/>
  • 文件

    html
    <view type="1">
      <file token="Z1FjxxxxxxxxxxxxxxxxxxxtnAc" name="skills.zip"/>
    </view>
  • 画板

    html
    <whiteboard token="Z1FjxxxxxxxxxxxxxxxxxxxtnAc"/>

获取步骤

  1. 从 HTML 标签中提取 token 属性值
  2. 调用 feishu_doc_media 下载:
    json
    {
      "action": "download",
      "resource_token": "提取的token",
      "resource_type": "media",
      "output_path": "/path/to/save/file"
    }

参数

  • doc_id(必填):支持直接传文档 URL 或 token
    • 直接传 URL:https://xxx.feishu.cn/docx/Z1FjxxxxxxxxxxxxxxxxxxxtnAc(系统自动提取 token)
    • 直接传 token:Z1FjxxxxxxxxxxxxxxxxxxxtnAc
    • 知识库 URL/token 也支持:https://xxx.feishu.cn/wiki/Z1FjxxxxxxxxxxxxxxxxxxxtnAcZ1FjxxxxxxxxxxxxxxxxxxxtnAc

Wiki URL 处理策略

知识库链接(/wiki/TOKEN)背后可能是云文档、电子表格、多维表格等不同类型的文档。当不确定类型时, 不能直接假设是云文档,必须先查询实际类型。

处理流程

  1. 先调用 feishu_wiki_space_node(action: get)解析 wiki token
    json
    { "action": "get", "token": "wiki_token_here" }
  2. 从返回的 node 中获取 obj_type(实际文档类型)和 obj_token(实际文档 token)
  3. 根据 obj_type 调用对应工具
obj_type工具传参
docxfeishu_mcp_fetch_docdoc_id = obj_token
sheetfeishu_sheetspreadsheet_token = obj_token
bitablefeishu_bitable_* 系列app_token = obj_token
其他告知用户暂不支持该类型

示例

用户:帮我看下这个文档 https://xxx.feishu.cn/wiki/ABC123

  1. 调用 feishu_wiki_space_node(action: get, token: ABC123)
  2. 返回 obj_type: "docx", obj_token: "doxcnXYZ789"
  3. 调用 feishu_mcp_fetch_doc(doc_id: doxcnXYZ789)

工具组合

需求工具
获取文档文本feishu_mcp_fetch_doc
下载图片/文件/画板feishu_doc_media(action: download)
解析 wiki token 类型feishu_wiki_space_node(action: get)
读写电子表格feishu_sheet
操作多维表格feishu_bitable_* 系列

Frequently asked questions

What does the Feishu Fetch Doc AI skill do?

获取飞书云文档内容。返回文档的 Markdown 内容,支持处理文档中的图片、文件和画板(需配合 feishu_doc_media 工具)。

Why use Feishu Fetch Doc on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/op7418/CodePilot/tree/main/资料/feishu-openclaw-plugin/package/skills/feishu-fetch-doc. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Feishu Fetch Doc?

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 Fetch Doc?

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

Is the Feishu Fetch Doc AI skill free?

It is published on GitHub by op7418. Check the repository for licensing terms. 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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