Feishu Doc Summarizer

Feishu Doc Summarizer

Overview

Given a Feishu/Lark document link (docx or wiki), read the document content and reply in-chat with a structured summary following the user’s fixed schema stored in MEMORY.md.

Workflow

0) Input detection

• Trigger when the user message contains a Feishu/Lark docx link like:
  • https://...larkoffice.com/docx/DOC_TOKEN
• Also trigger when the user message contains a Feishu/Lark wiki link like:
  • https://...larkoffice.com/wiki/WIKI_TOKEN

The user may provide no additional instructions; default to summarizing.

1) Resolve link → doc token (if needed)

• If it is a docx link: extract doc_token directly.
• If it is a wiki link:
  • Use feishu_wiki(action=get, token=wiki_token) to resolve the underlying object.
  • If the object type is docx, extract its doc token.
  • If not docx, tell the user what type it is and what you can support.

2) Read document content

• Use feishu_doc(action=read, doc_token=doc_token) to retrieve the full document content.
• If permissions fail or content is empty, ask the user to confirm they granted read access.

3) Summarize with the fixed schema (from memory)

• Before drafting, retrieve the summary schema from memory (search MEMORY.md for “Feishu 云文档摘要偏好” / “固定模板”).
• Produce the summary strictly following the section order and rules in memory.
• Citations: In the “引用原文片段” section, only quote text that appears in the document; do not fabricate.

Long documents

If the document is very long:

1. Chunk by headings/paragraph groups, summarize each chunk briefly.
2. Merge chunk summaries into the final schema.
3. Keep “引用原文片段” short and representative.

4) Reply back to the user

• Send the final formatted summary back to the current conversation.
• Include the original link in “文档元信息/链接”.

Output format (must follow memory)

Follow the user’s schema in MEMORY.md exactly; keep missing items as “无/未知” rather than removing sections.