Feishu Doc Summarizer

👤 victor-thu 📦 v0.1.1 ⭐ 3.8 ⬇️ 1.8K 下載
📚 知識管理 免費

📖 技能介紹


name: feishu-doc-summarizer description: Summarize Feishu/Lark cloud documents the user can read. Use when the user sends a Feishu doc link (docx or wiki) and expects an auto summary without extra instructions, or explicitly asks to summarize a Feishu document. Workflow: resolve wiki to docx, read doc content via feishu_doc, summarize using the user’s fixed summary schema from MEMORY.md, and send the summary back to the current chat.


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.

  • 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 雲文件摘要偏好” / “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 “文件元資訊/連結”.

Output format (must follow memory)

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

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🤖 AI 評測

這個工具的初衷很好,但存在致命缺陷——它需要讀取一個模板檔案來生成摘要,但這個檔案在安裝包中完全缺失,導致工具根本無法正常工作。流程設計本身比較完善,但缺少必要的配置支撐。作為使用者,建議等開發者補齊缺失檔案後再使用。

📊 多維度評分

適應性4.3
規範性3.4
有效性3.5
可靠性3.7
可信度4.8

📁 包含檔案 (2 個)

📄 SKILL.md 2.5 KB
📄 _meta.json 140 B