An intelligent tool for parsing WeChat articles to extract metadata and generate concise, AI-powered summaries.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install wechat-article-reader-0
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-article-reader-0 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 to bridge the gap between WeChat's ecosystem and your professional research workflow. By utilizing Openclaw Skills, users can bypass the manual effort of reading lengthy articles. It automatically identifies official WeChat links, scrapes the underlying content while navigating anti-crawling mechanisms, and provides a structured overview including the author, publication date, and a high-quality summary generated by a language model. This skill is particularly valuable for those who need to stay updated on industry trends published on the WeChat platform without spending hours on manual reading.
WeChat Article Reader Use Cases
- Rapidly digesting industry news from WeChat public accounts for quick updates.
- Archiving key metadata from Chinese social media articles for long-term research.
- Generating executive summaries of long-form WeChat content for team-wide sharing.
- Automating content monitoring by integrating WeChat feeds into productivity tools like Feishu.
How WeChat Article Reader Works
- The user provides a valid WeChat article URL (mp.weixin.qq.com) to the agent.
- Openclaw Skills identifies the link and initiates a secure HTTP request using a rotating user-agent strategy.
- The system parses the HTML structure using BeautifulSoup and lxml to isolate specific metadata fields and the main article body.
- The extracted text is processed by a Large Language Model to generate a structured summary and highlight key takeaways.
- The final formatted response, including emojis and bullet points, is delivered to the user.
WeChat Article Reader Setup
To enable this skill, ensure your environment meets the dependency requirements. You can install the necessary Python libraries using the following command:
pip install requests beautifulsoup4 lxml fake-useragent
Once dependencies are installed, integrate the wechat-article-reader skill into your Openclaw Skills configuration to start processing links.
WeChat Article Reader Data Schema & Taxonomy
The skill organizes extracted data into a structured format for easy reading:
| Field | Description |
|---|---|
| Article Title | The primary headline of the post |
| Author | The designated creator of the content |
| Public Account | The name of the hosting WeChat account |
| Publish Date | Timestamp of when the article was released |
| Content Summary | AI-generated overview of the main text |
| Key Points | Bulleted list of the most important insights |
WeChat Article Reader Advanced Features
- Robust anti-scraping handling using fake-useragent rotation to ensure reliable access.
- Seamless integration with Feishu (Lark) WebHooks for automated team notifications and improved UX.
- Smart extraction logic that automatically filters out noise, navigation menus, and advertisements from the article body.
- Context-aware processing that supports direct link recognition without requiring specific command prefixes.
SKILL.md
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