A professional utility to extract WeChat Official Account articles and convert them into clean Markdown for AI analysis and summarization.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install wechat-summarize
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 wechat-summarize 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 WeChat Article Reader?
The WeChat Article Reader is a specialized tool designed for the ecosystem of Openclaw Skills, enabling AI agents to bridge the gap between social media content and structured data. It utilizes a Python-based scraping engine to fetch content from WeChat MP links, bypass lazy-loading image obstacles, and produce high-quality Markdown output suitable for LLM processing.
This skill is essential for developers and researchers who need to consume high-volume Chinese content within an automated workflow. By transforming proprietary web formats into standard Markdown, it allows for seamless integration with secondary tasks like translation, archival, or deep summarization.
WeChat Article Reader Use Cases
- Automated industry research by scraping trending tech news from WeChat Official Accounts.
- Archiving personal knowledge by converting ephemeral social media posts into persistent Markdown files.
- Generating rapid AI summaries of long-form editorial content for quick briefing.
- Extracting images and text from protected web views for offline documentation and study.
How WeChat Article Reader Works
- The AI agent receives a WeChat article URL and initializes the environment within the Openclaw Skills directory.
- The script executes a request to fetch the article HTML, handling specific WeChat protocols like lazy-loaded image attributes.
- Content is converted from HTML to Markdown using specialized libraries to ensure formatting remains intact.
- The agent reads the generated .md file to provide either a full text output or a structured summary based on a predefined template.
- To maintain workspace hygiene, the temporary Markdown file is automatically deleted unless the user specifies otherwise.
WeChat Article Reader Setup
Ensure all dependencies are installed in the temporary library path for Openclaw Skills:
pip3 install html2text beautifulsoup4 requests --target=/tmp/pylibs -q
To run the scraper, navigate to the skill directory and execute:
PYTHONPATH=/tmp/pylibs python3 wechat2md.py "<YOUR_WECHAT_URL>"
WeChat Article Reader Data Schema & Taxonomy
The skill manages data through a temporary file lifecycle. Below is the structure used during processing:
| Data Type | Description |
|---|---|
| Input | A valid WeChat MP URL string |
| Intermediate | A .md file generated in the skill directory containing article body and metadata |
| Image Handling | Conversion of data-src to src tags for rendering compatibility |
| Summary Output | A structured Markdown response including Core Conclusions, Main Points, and a Key Conclusion Table |
WeChat Article Reader Advanced Features
- Intelligent image parsing that correctly identifies and restores lazy-loaded images.
- Support for the
--save-imagesflag to download all article media locally for complete archival. - Built-in summarization templates that prompt the AI to extract key conclusions and actionable insights into tables.
- Robust error handling for network timeouts or articles that have been removed by the publisher.
- Seamless integration with other Openclaw Skills for multi-step content research pipelines.
SKILL.md
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