An automated agent skill that transforms Feishu and Lark document links into structured, schema-compliant summaries.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install feishu-doc-summarizer
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install feishu-doc-summarizer using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Feishu Doc Summarizer?
The Feishu Doc Summarizer is a powerful integration designed for the Openclaw Skills ecosystem, enabling users to instantly extract insights from cloud-based documents. By simply pasting a Feishu or Lark link into the chat, the agent automatically parses the content, resolves wiki structures, and generates a concise summary.
This skill is built to enhance team collaboration and individual focus by reducing the time spent on manual document review. Because it integrates directly with the Openclaw Skills framework, it can leverage personal memory to ensure every summary perfectly aligns with your specific organizational needs and preferred document templates.
Feishu Doc Summarizer Use Cases
- Rapidly summarizing lengthy meeting minutes or project proposals shared via Lark docx links.
- Converting complex internal wiki pages into executive summaries for quick decision-making.
- Standardizing document reporting across a team by forcing a consistent summary schema defined in memory.
- Managing information overflow in high-volume chat environments where documents are frequently shared without context.
How Feishu Doc Summarizer Works
- The agent detects a Feishu or Lark docx or wiki URL within the conversation to initiate the Openclaw Skills process.
- If a wiki link is provided, the skill uses the feishu_wiki action to resolve the specific docx token required for reading.
- The feishu_doc action is invoked to fetch the complete text content of the document, handling permission checks automatically.
- The agent retrieves your custom summary preferences and fixed schema from the MEMORY.md file to maintain consistency.
- Content is analyzed and, if necessary, chunked into logical segments to ensure high-quality summarization of long-form documents.
- A structured response is generated, incorporating original citations and metadata, and delivered back to the chat interface.
Feishu Doc Summarizer Setup
To deploy this skill within your Openclaw Skills environment, follow these steps:
- Ensure your agent has the required permissions to access the Feishu/Lark API for document reading.
- Define your preferred summary template in your MEMORY.md file under a section titled "Feishu 云文档摘要偏好".
- Configure your agent to recognize the feishu-doc-summarizer skill definition.
# Example of ensuring the environment is ready for Openclaw Skills
openclaw skill-check feishu-doc-summarizer
Feishu Doc Summarizer Data Schema & Taxonomy
The skill manages document data and metadata using the following structure:
| Attribute | Source | Purpose |
|---|---|---|
| doc_token | Link Extraction | Unique identifier for the document content. |
| wiki_token | Link Extraction | Identifier used to resolve wiki-based documents. |
| summary_schema | MEMORY.md | The user-defined template for the output summary. |
| chunk_data | Processing | Intermediate summaries used for handling long documents. |
| citation_list | Doc Content | Verified quotes used to support summary points. |
Feishu Doc Summarizer Advanced Features
- Intelligent Wiki Resolution: Automatically converts wiki links to underlying document tokens for seamless reading.
- Memory-Driven Formatting: Uses a fixed schema stored in your personal memory to ensure every summary meets your exact standards.
- Smart Chunking: Handles massive documents by summarizing sections individually and merging them into a coherent final result.
- Citation Integrity: Explicitly extracts verbatim quotes from the source to prevent LLM hallucinations.
- Multi-Platform Support: Fully compatible with both Feishu and Lark cloud document infrastructures within the Openclaw Skills ecosystem.
SKILL.md
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