Openclaw-bestroll-skills feishu-doc-summarizer

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.

install

source · Clone the upstream repo

git clone https://github.com/evan966890/openclaw-bestroll-skills

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/evan966890/openclaw-bestroll-skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/feishu-doc-summarizer" ~/.claude/skills/evan966890-openclaw-bestroll-skills-feishu-doc-summarizer && rm -rf "$T"

OpenClaw · Install into ~/.openclaw/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/evan966890/openclaw-bestroll-skills "$T" && mkdir -p ~/.openclaw/skills && cp -r "$T/skills/feishu-doc-summarizer" ~/.openclaw/skills/evan966890-openclaw-bestroll-skills-feishu-doc-summarizer && rm -rf "$T"

manifest: skills/feishu-doc-summarizer/SKILL.md

source content

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:

Chunk by headings/paragraph groups, summarize each chunk briefly.
Merge chunk summaries into the final schema.
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.