# Xianyu

> Use this tool when you need to automate workflows on Xianyu, Alibaba's secondhand marketplace, to streamline tasks such as item publishing, delisting, and product queries. It provides over 13 tools with features like AI-powered category recognition and real-time instant messaging via WebSocket, allowing for efficient management of marketplace activities. Ideal for sellers and marketplace managers seeking to optimize their operations on Xianyu.

Canonical page: https://skillsregistry.net/skills/fancyboi999-xianyu  
JSON: https://api.skillsregistry.net/v1/skills/fancyboi999-xianyu

## Description

Automate core workflows on Xianyu (闲鱼), Alibaba's secondhand marketplace, through over 13 tools covering item publishing, delisting, product queries, image uploads, AI-powered category recognition, and real-time instant messaging via WebSocket with rate limiting.

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/fancyboi999-xianyu)
- **Repository:** <https://github.com/fancyboi999/goofish-cli>

## 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": "fancyboi999-xianyu"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/fancyboi999-xianyu` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/fancyboi999-xianyu/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
