Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · Communication & Collaboration
Feishu Doc Summarizer
Automatically read and summarize Feishu/Lark docx or wiki links in chat using the user's fixed summary schema from MEMORY.md.
skill openclawclawhub Free
Automatically read and summarize Feishu/Lark docx or wiki links in chat using the user's fixed summary schema from MEMORY.md.
⬇ 0 downloads ★ 0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, _meta.json
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 0.1.1
Provenance
- Publisher
- victor-thu
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
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.
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.
Category context
Messaging, meetings, inboxes, CRM, and teammate communication surfaces.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs1 Config
- SKILL.md
- _meta.json