# xiaohongshu-viral-note-agent-skill

> xiaohongshu-viral-note-agent-skill — xuboboo-xiaohongshu-viral-note-agent-skill. Use this tool when you need to streamline Xiaohongshu content operations, from researching trending topics to publishing viral notes. It solves problems of content creation, compliance verification, and account analysis, providing 49 MCP tools for a full-cycle solution. With single authorization, it takes input of user preferences and outputs optimized content and analytics, ideal for social media managers and content creators.

Canonical page: https://skillsregistry.net/skills/xuboboo-xiaohongshu-viral-note-agent-skill  
JSON: https://api.skillsregistry.net/v1/skills/xuboboo-xiaohongshu-viral-note-agent-skill

## Description

Provides 49 MCP tools for full-cycle Xiaohongshu content operations, enabling users to research trending topics, generate viral notes, verify compliance, analyze accounts, and publish with a single authorization.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ttv8u86th0)
- **Repository:** <https://github.com/xuboboo/xiaohongshu-viral-note-agent-skill>

## 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": "xuboboo-xiaohongshu-viral-note-agent-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/xuboboo-xiaohongshu-viral-note-agent-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/xuboboo-xiaohongshu-viral-note-agent-skill/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