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.

Feishu Doc Summarizerv0.1.1

Install & Quick Start