feishu-doc▌
m1heng/clawdbot-feishu · updated Apr 8, 2026
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Read, write, and manage comments in Feishu documents with markdown support and block-level operations.
- ›Supports full document lifecycle: read plain text, write/append markdown content, create new documents, and manage individual blocks (get, update, delete)
- ›Comment operations include listing document and block-level comments, retrieving single comments, and creating global comments with pagination support
- ›Structured content (tables, images, code blocks) accessible via list_blocks act
Feishu Document Tool
Single tool feishu_doc with action parameter for all document operations including comment management.
Token Extraction
From URL https://xxx.feishu.cn/docx/ABC123def → doc_token = ABC123def
From URL https://xxx.feishu.cn/docs/doccn123c → doc_token = doccn123c
Actions
Read Document
{ "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)
{ "action": "write", "doc_token": "ABC123def", "content": "# Title\n\nMarkdown content..." }
Replaces entire document with markdown content. Supports: headings, lists, code blocks, quotes, links, images ( auto-uploaded), bold/italic/strikethrough.
Limitation: Markdown tables are NOT supported.
Create + Write (Atomic, Recommended)
{
"action": "create_and_write",
"title": "New Document",
"content": "# Title\n\nMarkdown content..."
}
With folder:
{
"action": "create_and_write",
"title": "New Document",
"content": "# Title\n\nMarkdown content...",
"folder_token": "fldcnXXX"
}
Creates the document and writes content in one call. Prefer this over separate create + write.
Append Content
{ "action": "append", "doc_token": "ABC123def", "content": "Additional content" }
Appends markdown to end of document.
Create Document
{ "action": "create", "title": "New Document" }
With folder:
{ "action": "create", "title": "New Document", "folder_token": "fldcnXXX" }
Creates an empty document (title only).
List Blocks
{ "action": "list_blocks", "doc_token": "ABC123def" }
Returns full block data including tables, images. Use this to read structured content.
Get Single Block
{ "action": "get_block", "doc_token": "ABC123def", "block_id": "doxcnXXX" }
Update Block Text
{ "action": "update_block", "doc_token": "ABC123def", "block_id": "doxcnXXX", "content": "New text" }
Delete Block
{ "action": "delete_block", "doc_token": "ABC123def", "block_id": "doxcnXXX" }
List Comments
{ "action": "list_comments", "doc_token": "ABC123def", "page_size": 50 }
Returns all comments for the document. Use page_token for pagination. Comments include is_whole field to distinguish between whole-document comments (true) and block-level comments (false).
Get Single Comment
{ "action": "get_comment", "doc_token": "ABC123def", "comment_id": "comment_xxx" }
Create Comment
{ "action": "create_comment", "doc_token": "ABC123def", "content": "Comment text" }
List Comment Replies
{ "action": "list_comment_replies", "doc_token": "ABC123def", "comment_id": "comment_xxx", "page_size": 50 }
page_size should be a positive integer. If omitted, tool defaults to 50.
Comment Write Scope
Current tool provides documented comment write action create_comment (global comment creation).
For replies, use list_comment_replies for retrieval; the reply creation endpoint is not exposed in current SDK surface.
Reading Workflow
- Start with
action: "read"- get plain text + statistics - Check
block_typesin response for Table, Image, Code, etc. - If structured content exists, use
action: "list_blocks"for full data
Configuration
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
For comment operations:
- Read comments:
docx:document.comment:read - Write comments:
docx:document.comment(optional, for create_comment)
How to use feishu-doc on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add feishu-doc
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches feishu-doc from GitHub repository m1heng/clawdbot-feishu and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate feishu-doc. Access the skill through slash commands (e.g., /feishu-doc) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ Use When
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid When
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.5★★★★★32 reviews- ★★★★★Carlos Mehta· Dec 4, 2024
Keeps context tight: feishu-doc is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Ren Okafor· Dec 4, 2024
feishu-doc has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Diego Rahman· Nov 23, 2024
feishu-doc is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Henry Sanchez· Nov 23, 2024
Useful defaults in feishu-doc — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Carlos Reddy· Oct 14, 2024
Useful defaults in feishu-doc — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Naina Wang· Oct 14, 2024
feishu-doc is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Hana Ramirez· Sep 25, 2024
feishu-doc fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Oshnikdeep· Sep 21, 2024
Solid pick for teams standardizing on skills: feishu-doc is focused, and the summary matches what you get after install.
- ★★★★★Piyush G· Sep 17, 2024
feishu-doc reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Hana Menon· Aug 16, 2024
Registry listing for feishu-doc matched our evaluation — installs cleanly and behaves as described in the markdown.
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