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飞书文档文件夹摘要生成器

Extract summaries from all documents in a Feishu folder. Use when the user needs to recursively scan a Feishu wiki space or drive folder, read all documents...

skill openclawclawhub Free
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Extract summaries from all documents in a Feishu folder. Use when the user needs to recursively scan a Feishu wiki space or drive folder, read all documents...

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Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
SKILL.md, scripts/summary_generator.py, references/feishu_api.md

Validation

  • Use the Yavira download entry.
  • Review SKILL.md after the package is downloaded.
  • Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. Paste one of the prompts below and point your agent at the extracted folder.
New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.

Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
1.0.0

Documentation

ClawHub primary doc Primary doc: SKILL.md 12 sections Open source page

Feishu Folder Summary

This skill extracts summaries from all documents in a Feishu folder (wiki or drive), recursively scanning sub-folders and generating a comprehensive Markdown report.

Overview

The skill performs the following operations: Parses the Feishu folder URL to extract space_id and node_token Recursively traverses the folder structure using feishu_wiki API Reads each document's content using feishu_doc API Generates structured summaries for each document Compiles a comprehensive Markdown report with: Complete directory tree Document summaries organized by folder Statistics and status overview Links to original documents

Supported URL Formats

Wiki folders: https://{domain}.feishu.cn/wiki/{node_token} Drive folders: https://{domain}.feishu.cn/drive/folder/{folder_token}

Step 1: Extract Folder Information

Parse the provided Feishu URL to identify: Document type (wiki or drive) Space ID (for wiki) Node token or folder token

Step 2: Recursive Traversal

Use feishu_wiki API to traverse the folder structure: feishu_wiki action="get" token="{node_token}" # Get folder info feishu_wiki action="nodes" space_id="{space_id}" # List child nodes For folders with has_child: true, recursively process child nodes.

Step 3: Document Reading

For each document node, read its content: feishu_doc action="read" doc_token="{obj_token}"

Step 4: Generate Summary

Extract from each document: Title: Document title Type: Document or Folder Status: Complete, In Progress, or Empty Core Content: Key points, main topics, important information Child Documents: If folder, list contained documents

Step 5: Compile Report

Generate a Markdown report with: Header (source URL, generation time, document count) Directory tree visualization Hierarchical summaries (by folder level) Statistics table Related links

Output Format

  • The generated report includes:
  • # {Folder Name} Document Summary Report
  • **Source:** {URL}
  • **Generated:** {Timestamp}
  • **Total Documents:** {Count}
  • ---
  • ## Directory Structure
  • {Tree visualization}
  • ---
  • ## Level 1 Summaries
  • ### 1. {Document Name}
  • **Type:** {docx/folder}
  • **Status:** {Complete/In Progress/Empty}
  • **Summary:** {Core content description}
  • ### 2. {Folder Name}/
  • **Type:** folder
  • **Documents:** {Count}
  • **Summary:** {Folder description}
  • #### 2.1 {Child Document}
  • **Type:** docx
  • **Summary:** {Content summary}
  • ---
  • ## Statistics
  • | Category | Count | Status |
  • |----------|-------|--------|
  • | Total | X | - |
  • | Complete | X | ✅ |
  • | In Progress | X | 🚧 |
  • | Empty | X | ⚠️ |
  • ---
  • *Report generated by feishu-folder-summary skill*

Example Usage

User Request: "Extract summaries from https://caz6yhvgk5z.feishu.cn/wiki/BzslwD3Nei1Dggkvin5cV2hDnob" Skill Execution: Parse URL → Wiki folder, node_token=BzslwD3Nei1Dggkvin5cV2hDnob Get folder info → space_id=7593876306731732193, title="AI云平台" Recursively traverse → Found 14 level-1 nodes, 30+ child documents Read each document → Extract content and generate summaries Compile report → Generate comprehensive Markdown summary Output: Complete directory tree Hierarchical summaries for all 44 documents Status tracking (✅ Complete, 🚧 In Progress, ⚠️ Empty) Statistics overview

Key Considerations

Recursive Depth: Process all levels of nested folders Document Types: Handle docx (documents) and folder (containers) Error Handling: Continue processing if individual document read fails Content Length: Generate concise but informative summaries Status Detection: Identify empty or placeholder documents Token Efficiency: Summarize long documents appropriately

API Reference

See references/feishu_api.md for detailed API documentation.

Category context

Workflow acceleration for inboxes, docs, calendars, planning, and execution loops.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
2 Docs1 Scripts
  • SKILL.md Primary doc
  • references/feishu_api.md Docs
  • scripts/summary_generator.py Scripts