# article2md

> article2md — tzrea1-q-article2md. Use this tool when you need to archive web articles from various sources, such as WeChat, Zhihu, or any URL, into clean Markdown format with locally stored images. It solves the problem of preserving online content for offline access and note-taking, particularly for Obsidian and LLM workflows. The tool takes in URLs or online articles and outputs Markdown files with embedded images, making it ideal for knowledge management and research tasks.

Canonical page: https://skillsregistry.net/skills/tzrea1-q-article2md  
JSON: https://api.skillsregistry.net/v1/skills/tzrea1-q-article2md

## Description

Archive web articles — WeChat 公众号, Zhihu, Xiaohongshu, or any URL — as clean Markdown with local images. Built for Obsidian and LLM workflows.

## Trust

- **Trust score (0–1):** 0.83
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/tzrea1-Q/article2md)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "tzrea1-q-article2md"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tzrea1-q-article2md` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tzrea1-q-article2md/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt