# welink

> welink — runzhliu-welink. Use this tool when you need to analyze WeChat chat data locally with AI-powered insights, solving problems such as understanding friend rankings, sentiment trends, and group chat profiles. It takes in WeChat chat data as input and outputs visualizations like word clouds and trend analyses. Ideal for users seeking to uncover hidden patterns and relationships in their WeChat conversations.

Canonical page: https://skillsregistry.net/skills/runzhliu-welink  
JSON: https://api.skillsregistry.net/v1/skills/runzhliu-welink

## Description

🔍微信聊天数据分析的本地化AI-agent(Docker/Windows/MacOS) · AI分身 / 大模型分析 / 好友排行 / 词云 / 情感趋势 / 群聊画像

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** cloud-infra
- **Updated:** 2026-09-26

## Source

- **Source listing:** [GitHub](https://github.com/runzhliu/welink)

## 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": "runzhliu-welink"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/runzhliu-welink` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/runzhliu-welink/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