An intelligent AI skill designed to extract key information, decisions, and action items from Lark conversations into structured summaries.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install messages-summary
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install messages-summary using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Message Summary?
The message-summary skill is a sophisticated tool within the Openclaw Skills ecosystem that automates the analysis of Lark (Feishu) chat threads. It bridge the gap between chaotic real-time communication and structured project management by identifying core discussion points, sentiments, and critical updates. By utilizing this skill, teams can ensure that valuable insights shared in group chats are preserved and acted upon without manual note-taking.
Whether dealing with hundreds of messages in a high-traffic project group or private one-on-one sessions, this skill organizes data into a readable format. It is particularly effective for users who need to stay updated on multiple threads simultaneously while maintaining a high level of accuracy in their knowledge management workflows.
Message Summary Use Cases
- Post-meeting review to quickly recap group discussions and extract decision points.
- Daily project tracking to summarize progress and identify pending blockers.
- Information archiving for generating searchable summary documents from historical chats.
- Cross-timezone collaboration help for members to catch up on missed discussions.
- Onboarding support for new team members to understand historical context of current projects.
How Message Summary Works
- The user triggers the skill by specifying the target Lark group and a desired timeframe.
- Openclaw Skills access the conversation logs via secure API integration.
- The AI engine processes the text to categorize topics, identify participants, and detect deadlines.
- Decisions and action items are isolated from general conversation noise.
- A structured Markdown report is generated, containing summaries, tasks, and participation statistics.
Message Summary Setup
To use this skill, ensure you have the necessary Lark API permissions and that it is enabled in your Openclaw workspace.
# Install the skill via the Openclaw CLI
openclaw install message-summary
# Configure your Lark credentials
export LARK_APP_ID='your_app_id'
export LARK_APP_SECRET='your_app_secret'
Message Summary Data Schema & Taxonomy
The skill produces a structured output that organizes communication data into the following schema:
| Section | Content Description | Format |
|---|---|---|
| Overview | General theme and primary conclusions of the thread | Markdown Paragraph |
| Important Decisions | List of agreed-upon points and final resolutions | Unordered List |
| Action Items | Tasks to follow up, including owners and deadlines | Unordered List |
| Key Discussions | Breakdown of major topics and differing perspectives | Detailed List |
| Statistics | Data on message volume, active participants, and peak times | Table/Object |
Message Summary Advanced Features
- Direct integration with lark-doc to automatically save generated summaries as permanent cloud documents.
- Automated task creation through lark-task integration for identified action items.
- Multi-dimensional classification allows filtering summaries by specific tech stacks or project tags.
- Participant activity heatmaps to identify key contributors and decision-makers within specific timeframes.
- Advanced Openclaw Skills hooks for triggering downstream automation workflows based on summary content.
SKILL.md
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