據 AlphaMoat 統計,截至 2026-09,飛書文件資料夾摘要生成器 累計下載 1,312 次、獲 1 個星標,在全部 5,078 個 AI 技能中排名第 4,887 位,在「知識管理」分類(442 個)中排名第 424 位。
| 平台 | 累計安裝 | 累計下載 | 星標 | 評論 |
|---|---|---|---|---|
| ClawHub ↗ | 29 | 1085 | - | - |
| SkillHub ↗ | 199 | 1312 | 1 | — |
各平台的計數口徑不同,統計時間不一致。
它可遍歷飛書 Wiki 或雲盤資料夾及其子目錄,讀取文件內容並生成綜合摘要報告。
資料釋出於 2026-10-27
以下是根據技能文件生成的示例,不代表實際執行結果。
2026-09 起統計方法調整:同名技能按作者分別統計,並覆蓋全部技能。圖中虛線為調整前的月份,與之後的資料不直接比較,也不計算跨越調整的增長。
| 月份 | 累計下載 | 環比 | 星標 |
|---|---|---|---|
| 2026-09 | 1312 | — | 1 |
| 2026-08 | 1110 | +12.1% | 1 |
| 2026-07 | 990 | +25.8% | 1 |
| 2026-06 | 787 | +11.6% | 1 |
| 2026-05 | 705 | — | 1 |
| 2026-03 | 471 | — | - |
以下是作者釋出的原始檔案,按純文字顯示,本站未做修改或稽核;其中的連結不可點選,命令請核實後再執行。抓取於 2026-10-23。
--- name: feishu-folder-summary description: 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 and sub-documents, and generate a comprehensive summary report in Markdown format. Triggers on requests like "extract summaries from Feishu folder", "generate document summary report", "recursively scan Feishu documents", or when given a feishu.cn/wiki/ or feishu.cn/drive/ URL. --- # 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:
1. Parses the Feishu folder URL to extract space_id and node_token
2. Recursively traverses the folder structure using feishu_wiki API
3. Reads each document's content using feishu_doc API
4. Generates structured summaries for each document
5. 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}`
## Workflow
### 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:
1. Header (source URL, generation time, document count)
2. Directory tree visualization
3. Hierarchical summaries (by folder level)
4. Statistics table
5. Related links
## Output Format
The generated report includes:
```markdown
# {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:**
1. Parse URL → Wiki folder, node_token=BzslwD3Nei1Dggkvin5cV2hDnob
2. Get folder info → space_id=7593876306731732193, title="AI云平台"
3. Recursively traverse → Found 14 level-1 nodes, 30+ child documents
4. Read each document → Extract content and generate summaries
5. 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](references/feishu_api.md) for detailed API documentation.
把長文字、文件與網頁內容壓縮成要點和關鍵詞的摘要工具。
透過 IMA OpenAPI 管理筆記與知識庫內容。
規定如何為網頁請求選擇合適工具的必讀指引。
呼叫百度 AI 搜尋介面做網頁檢索的技能。
用 uvx 直接呼叫 markitdown,把各類檔案轉成 Markdown。
面向 OpenClaw 的預設網頁搜尋,即時檢索多個引擎。
用 DuckDuckGo 介面做網頁、新聞、圖片與影片檢索的技能。
檢索並發現可用 OpenClaw 技能的技能。
資料月份:2026-09 · 下載/星標/安裝數聚合自公開技能註冊庫(ClawHub、SkillHub),按月更新。口徑說明見資料方法。