An automated workflow that analyzes WeChat chat history to generate AI-powered, mobile-optimized daily report images.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install wechat-daily-report
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install wechat-daily-report using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The WeChat Daily Report skill is a powerful tool within the Openclaw Skills ecosystem designed to convert messy group chat logs into professional, visual summaries. It leverages local Python scripts for statistical analysis and AI for semantic understanding, ultimately producing a high-resolution PNG image tailored for mobile devices. This skill is essential for community managers and active groups who want to synthesize daily discussions into digestible highlights using Openclaw Skills.
To get started with this skill, ensure you have Python installed and run the following commands to set up the environment:
# Install required Python libraries
pip install jieba jinja2 playwright
# Install the Chromium browser engine for image rendering
playwright install chromium
# Analyze your chat logs
python scripts/analyze_chat.py <chat_log.json> --output-stats stats.json --output-text simplified_chat.txt
This Openclaw Skills tool manages data through a structured pipeline of JSON and text files:
| Data Component | Format | Description |
|---|---|---|
| Chat Log | JSON | The source file containing meta info, members, and message objects. |
| Stats | JSON | Computed metrics including Talker TOP3, Night Owl rankings, and word frequencies. |
| AI Content | JSON | Contextual analysis including discussion topics, shared resources, and Q&As. |
| Final Report | PNG | The rendered mobile-resolution image output for sharing. |
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