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ibreez3
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小红书自动发稿 Skill

Publish and manage Xiaohongshu posts via MCP tool calls.

21|8|Updated Feb 1, 2026
Search Tags:#publishing#commenting#xiaohongshu#content search#mcp automation#feed engagement#login and qrcode
One-click install
npx skills add https://github.com/ibreez3/xiaohongshu-skill --skill skill-ibreez3
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: 小红书自动发稿 Skill
Source: https://github.com/ibreez3/xiaohongshu-skill/tree/main
Command: npx skills add https://github.com/ibreez3/xiaohongshu-skill --skill skill-ibreez3

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automates Xiaohongshu (Little Red Book) publishing and engagement tasks that would otherwise require manual login, navigation, and repeated tool calls.

Core Features & Use Cases

  • Publish image/text posts: Create and schedule Rich posts with a title, body, images, and optional tags.
  • Publish video posts: Upload video with title/content/tags and optional scheduling.
  • Engage with feeds: Check login status, search feeds, fetch feed details, post comments, and like/favorite feeds.
  • User research: Retrieve a user profile page for follow-up actions.

Quick Start

Ask your AI assistant to use this skill to publish a Xiaohongshu image/text post with a specified title, content, absolute image path(s), and tag list, then return the publish result.

Frequently Asked Questions about 小红书自动发稿 Skill

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate Xiaohongshu publishing for image and video posts?▼

You can automate Xiaohongshu publishing by orchestrating MCP tool invocations to upload posts. This skill supports creating both image/text and video posts by validating parameters like title, content, images, and video paths.

Can I use MCP automation to search feeds and post comments on Xiaohongshu?▼

Yes, MCP automation supports feed engagement by searching feeds, retrieving feed details, and posting comments. It orchestrates these actions end-to-end using validated parameters like feed_id and xsec_token.

Do I need a specific backend to automate Xiaohongshu feed engagement?▼

Yes, you need a connected xiaohongshu-mcp backend reachable at a configured MCP URL. The skill relies on this backend to execute JSON-RPC tool calls for login checks and engagement actions.

How does login validation work for Xiaohongshu content automation?▼

Login validation works by checking the login status through the connected MCP backend before executing actions. It ensures qrcode authentication is completed successfully before allowing publishing or feed engagement.

What is the best way to manage follow-up engagement on Xiaohongshu?▼

The best way to manage follow-up engagement is using a single end-to-end automation flow. This skill retrieves user profiles, searches feeds, and applies like or favorite actions automatically after publishing.

What are the limitations of automating Xiaohongshu publishing with MCP?▼

Limitations include requiring a reachable xiaohongshu-mcp backend and proper JSON-RPC parameter validation. You must provide absolute image paths and valid feed tokens to ensure successful execution.

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