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Feishu Doc

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beita6969
feishu-doc

Feishu document read/write operations. Activate when user mentions Feishu docs, cloud docs, or docx links.

Overview

Publisherbeita6969
RepositoryScienceClaw
Skill namefeishu-doc
Stars
1K
Forks
109
Bundled files
1
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.

  • 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 beita6969 on GitHub. Read the source before you install it.

Installation

Install the Feishu 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.
    https://github.com/beita6969/ScienceClaw/tree/main/extensions/feishu/skills/feishu-doc
  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/beita6969/ScienceClaw.git /tmp/ScienceClaw
mkdir -p .claude/skills
cp -r /tmp/ScienceClaw/extensions/feishu/skills/feishu-doc .claude/skills/feishu-doc
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Feishu 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 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 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 Document Tool

Single tool feishu_doc with action parameter for all document operations, including table creation for Docx.

Token Extraction

From URL https://xxx.feishu.cn/docx/ABC123def → doc_token = ABC123def

Actions

Read Document

json
{ "action": "read", "doc_token": "ABC123def" }

Returns: title, plain text content, block statistics. Check hint field - if present, structured content (tables, images) exists that requires list_blocks.

Write Document (Replace All)

json
{ "action": "write", "doc_token": "ABC123def", "content": "# Title\n\nMarkdown content..." }

Replaces entire document with markdown content. Supports: headings, lists, code blocks, quotes, links, images (![](url) auto-uploaded), bold/italic/strikethrough.

Limitation: Markdown tables are NOT supported.

Append Content

json
{ "action": "append", "doc_token": "ABC123def", "content": "Additional content" }

Appends markdown to end of document.

Create Document

json
{ "action": "create", "title": "New Document", "owner_open_id": "ou_xxx" }

With folder:

json
{
  "action": "create",
  "title": "New Document",
  "folder_token": "fldcnXXX",
  "owner_open_id": "ou_xxx"
}

Important: Always pass owner_open_id with the requesting user's open_id (from inbound metadata sender_id) so the user automatically gets full_access permission on the created document. Without this, only the bot app has access.

List Blocks

json
{ "action": "list_blocks", "doc_token": "ABC123def" }

Returns full block data including tables, images. Use this to read structured content.

Get Single Block

json
{ "action": "get_block", "doc_token": "ABC123def", "block_id": "doxcnXXX" }

Update Block Text

json
{
  "action": "update_block",
  "doc_token": "ABC123def",
  "block_id": "doxcnXXX",
  "content": "New text"
}

Delete Block

json
{ "action": "delete_block", "doc_token": "ABC123def", "block_id": "doxcnXXX" }

Create Table (Docx Table Block)

json
{
  "action": "create_table",
  "doc_token": "ABC123def",
  "row_size": 2,
  "column_size": 2,
  "column_width": [200, 200]
}

Optional: parent_block_id to insert under a specific block.

Write Table Cells

json
{
  "action": "write_table_cells",
  "doc_token": "ABC123def",
  "table_block_id": "doxcnTABLE",
  "values": [
    ["A1", "B1"],
    ["A2", "B2"]
  ]
}

Create Table With Values (One-step)

json
{
  "action": "create_table_with_values",
  "doc_token": "ABC123def",
  "row_size": 2,
  "column_size": 2,
  "column_width": [200, 200],
  "values": [
    ["A1", "B1"],
    ["A2", "B2"]
  ]
}

Optional: parent_block_id to insert under a specific block.

Upload Image to Docx (from URL or local file)

json
{
  "action": "upload_image",
  "doc_token": "ABC123def",
  "url": "https://example.com/image.png"
}

Or local path with position control:

json
{
  "action": "upload_image",
  "doc_token": "ABC123def",
  "file_path": "/tmp/image.png",
  "parent_block_id": "doxcnParent",
  "index": 5
}

Optional index (0-based) inserts the image at a specific position among sibling blocks. Omit to append at end.

Note: Image display size is determined by the uploaded image's pixel dimensions. For small images (e.g. 480x270 GIFs), scale to 800px+ width before uploading to ensure proper display.

Upload File Attachment to Docx (from URL or local file)

json
{
  "action": "upload_file",
  "doc_token": "ABC123def",
  "url": "https://example.com/report.pdf"
}

Or local path:

json
{
  "action": "upload_file",
  "doc_token": "ABC123def",
  "file_path": "/tmp/report.pdf",
  "filename": "Q1-report.pdf"
}

Rules:

  • exactly one of url / file_path
  • optional filename override
  • optional parent_block_id

Reading Workflow

  1. Start with action: "read" - get plain text + statistics
  2. Check block_types in response for Table, Image, Code, etc.
  3. If structured content exists, use action: "list_blocks" for full data

Configuration

yaml
channels:
  feishu:
    tools:
      doc: true # default: true

Note: feishu_wiki depends on this tool - wiki page content is read/written via feishu_doc.

Permissions

Required: docx:document, docx:document:readonly, docx:document.block:convert, drive:drive

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 Doc AI skill do?

Feishu document read/write operations. Activate when user mentions Feishu docs, cloud docs, or docx links.

Why use Feishu Doc on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/beita6969/ScienceClaw/tree/main/extensions/feishu/skills/feishu-doc. 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 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 Doc?

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

Is the Feishu Doc AI skill free?

Yes. It is published on GitHub by beita6969 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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