Wechat To Md

Community

bzd6661

wechat-to-md

Convert WeChat Official Account (微信公众号) articles to clean Markdown files with locally downloaded images.

Overview

Publisher	bzd6661
Repository	`wechat-article-for-ai`
Skill name	`wechat-to-md`
Stars	104
Forks	14
Bundled files	12
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
12 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by bzd6661 on GitHub. Read the source before you install it.

Installation

Install the Wechat To Md AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/bzd6661/wechat-article-for-ai/tree/master
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/bzd6661/wechat-article-for-ai.git \
  .claude/skills/wechat-to-md

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Wechat To Md in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Wechat To Md on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Wechat To Md is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

WeChat Article to Markdown Converter

What this tool does

Converts WeChat public account articles into clean Markdown files with:

YAML frontmatter (title, author, date, source URL)
Locally downloaded images
Preserved code blocks with language detection
Audio/video reference extraction
Clean formatting (no WeChat UI noise)

Prerequisites

Python 3.10+
Install dependencies: pip install -r requirements.txt
Camoufox browser will be auto-downloaded on first run

Usage

CLI (single article)

bash
python main.py "https://mp.weixin.qq.com/s/ARTICLE_ID"

CLI (batch from file)

bash
python main.py -f urls.txt -o ./output -v

CLI Options

Flag	Description
`-f FILE`	Text file with URLs (one per line)
`-o DIR`	Output directory (default: ./output)
`-c N`	Image download concurrency (default: 5)
`--no-images`	Skip image download, keep remote URLs
`--no-headless`	Show browser (for solving CAPTCHAs)
`--force`	Overwrite existing output
`--no-frontmatter`	Use blockquote metadata instead of YAML
`-v`	Verbose/debug logging

MCP Server

Run as an MCP server for AI tool integration:

bash
python mcp_server.py

Exposes two tools:

convert_article(url, output_dir, download_images, concurrency, use_frontmatter) — Convert a single article
batch_convert(urls, output_dir, download_images, concurrency) — Convert multiple articles

MCP Configuration (for claude_desktop_config.json or similar)

json
{
  "mcpServers": {
    "wechat-to-md": {
      "command": "python",
      "args": ["mcp_server.py"],
      "cwd": "<path-to-this-project>"
    }
  }
}

Output Structure


output/
  <article-title>/
    <article-title>.md    # Markdown file with YAML frontmatter
    images/
      img_001.png
      img_002.jpg
      ...

Common Issues

CAPTCHA/verification page: Run with --no-headless to manually solve the CAPTCHA in the browser window, then retry.
Empty content: WeChat may rate-limit requests. Wait a few minutes and try again.
Image download failures: Failed images keep their remote URLs in the markdown. Re-run with --force to retry.

Limitations

Only supports articles from mp.weixin.qq.com
Requires a working internet connection and the ability to run a headless browser
WeChat may block automated access; Camoufox helps evade detection but is not guaranteed

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Wechat To Md AI skill do?

Convert WeChat Official Account (微信公众号) articles to clean Markdown files with locally downloaded images.

Why use Wechat To Md on TypingMind?

Because you install it once and use it with any model. Wechat To Md is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Wechat To Md in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/bzd6661/wechat-article-for-ai/tree/master. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Wechat To Md?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Wechat To Md?

As many as you like. As long as a model supports skills, you can use Wechat To Md with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Wechat To Md AI skill free?

It is published on GitHub by bzd6661. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

WeChat Article to Markdown Converter

What this tool does

Prerequisites

Usage

CLI (single article)

CLI (batch from file)

CLI Options

MCP Server

MCP Configuration (for claude_desktop_config.json or similar)

Output Structure

Common Issues

Limitations

Bundled files

Frequently asked questions

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