from wechat-article-for-ai65
Convert WeChat public-account articles into clean Markdown with YAML frontmatter and locally downloaded images, preserving code blocks and media references.
This tool converts WeChat Official Account (mp.weixin.qq.com) articles into clean Markdown packages: a markdown file with YAML frontmatter (title, author, date, source), a local images folder, preserved code blocks with language hints, and extracted audio/video references. It’s designed for content archiving, static-site ingestion, and AI pipelines that need clean text and local assets.
Use it when you need to import WeChat articles into a blog, archive, or dataset, or when feeding article content into an LLM pipeline that requires local images and clean markup. It’s also useful for batch conversions and running as an MCP server so other AI tools can call conversion functions.
Works well with agents that can run Python CLI tools or invoke MCP servers (local agents, Claude/GPT agents with execution capability, or environments that support running subprocesses).
WeChat Article to Markdown is a thin wrapper skill that instructs agents to install and run the `wechat-article-to-markdown` CLI tool to fetch WeChat Official Account articles and convert them to local Markdown with images. No bundled scripts — the entire value is in pointing to an external Python package. SKILL.md is clear and well-structured with prerequisites, usage, features, and limitations sections. The tool uses Camoufox for anti-detection scraping and markdownify for HTML conversion.
Clean skill with no security concerns. No scripts to execute or evaluate — entirely a reference skill for an external CLI tool. Niche but legitimate use case for Chinese content archiving.
