Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
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...
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...
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
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.
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.
This skill extracts summaries from all documents in a Feishu folder (wiki or drive), recursively scanning sub-folders and generating a comprehensive Markdown report.
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
Wiki folders: https://{domain}.feishu.cn/wiki/{node_token} Drive folders: https://{domain}.feishu.cn/drive/folder/{folder_token}
Parse the provided Feishu URL to identify: Document type (wiki or drive) Space ID (for wiki) Node token or folder token
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.
For each document node, read its content: feishu_doc action="read" doc_token="{obj_token}"
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
Generate a Markdown report with: Header (source URL, generation time, document count) Directory tree visualization Hierarchical summaries (by folder level) Statistics table Related links
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
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
See references/feishu_api.md for detailed API documentation.
Workflow acceleration for inboxes, docs, calendars, planning, and execution loops.
Largest current source with strong distribution and engagement signals.