XiaoHongShu (Little Red Book) data collection and interaction toolkit. Use when working with XiaoHongShu (小红书) platform for: (1) Searching and scraping notes/posts, (2) Getting user profiles and details, (3) Extracting comments and likes, (4) Following users and liking posts, (5) Fetching home feed and trending content. Automatically handles all encryption parameters (cookies, headers) including a1, webId, x-s, x-s-common, x-t, sec_poison_id, websectiga, gid, x-b3-traceid, x-xray-traceid. Supports guest mode and authenticated sessions via web_session cookie.
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Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install xiaohongshutoolsOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install xiaohongshutools⚠️ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js →
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/xiaohongshutools/💡Extract and place the folder at the path above, then restart your agent.
Category
Data & AnalyticsWhat little red book can do for your AI workflow
Analyze engagement metrics for Xiaohongshu posts without manually logging into the platform
Draft and schedule Xiaohongshu content optimized for the platform's discovery algorithm
Monitor brand mentions and competitor activity on Xiaohongshu in real time
Extract product review data from Xiaohongshu for market research and sentiment analysis
Try these prompts with your AI agent after installing little red book
Show me the top-performing posts in my Xiaohongshu account this month
Fetches account analytics, ranks posts by engagement rate, and returns a table with views, likes, saves, and comments
Draft a Xiaohongshu post for this skincare product with trending hashtags
Analyzes current trending hashtags in the beauty category, writes an engaging post in the Xiaohongshu style, and suggests 5 relevant tags
Analyze the comments on my latest Xiaohongshu post for sentiment
Reads all comments, classifies them as positive/neutral/negative, and surfaces the most common themes and actionable feedback
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XiaohongshuTools provides a set of utilities for interacting with Xiaohongshu (小红书 / RedNote), China's leading lifestyle and social commerce platform. For brands and creators targeting Chinese consumers, automating Xiaohongshu content workflows — from post scheduling to comment analysis — can save hours of manual work every week.
little red book works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) — an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install little red book once and it becomes available across all your AI clients. Whether you're working in Claude for focused sessions or Cursor for integrated workflows, the skill behaves consistently.
Getting started with little red book takes about two minutes. Place the skill at `~/.claude/skills/xiaohongshutools/` (personal, all projects) or `.claude/skills/xiaohongshutools/` (project-specific), then restart your AI client. From that point, typing `/xiaohongshutools` in any conversation activates it, or the AI will use it on its own when it detects a relevant request.
little red book has been installed 5,014 times, making it one of the more actively used skills in the Data & Analytics category. The install rate suggests it solves a real, recurring need rather than a niche edge case. Like all skills on DiscoverAISkills, it is free to install and use. The broader AI skills ecosystem continues to expand as developers contribute new capabilities across categories like developer tools, data analysis, writing, automation, and more.
Place the skill folder at ~/.claude/skills/xiaohongshutools/ for personal use (all projects), or .claude/skills/xiaohongshutools/ for project-specific use. Restart your AI client, then invoke with /xiaohongshutools or let the AI discover it automatically.
little red book supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
little red book is free to install. Check the repository for licensing information.
XiaoHongShu (Little Red Book) data collection and interaction toolkit. Use when working with XiaoHongShu (小红书) platform for: (1) Searching and scraping notes/posts, (2) Getting user profiles and details, (3) Extracting comments and likes, (4) Following users and liking posts, (5) Fetching home feed and trending content. Automatically handles all encryption parameters (cookies, headers) including a1, webId, x-s, x-s-common, x-t, sec_poison_id, websectiga, gid, x-b3-traceid, x-xray-traceid. Supports guest mode and authenticated sessions via web_session cookie.
Little Red Book – RedNote
CuratedXiaohongshu's all-round assistant - copywriting generation, cover production, content publishing and management. It is used when the user requests to write Xiaohongshu notes, generate Xiaohongshu copy/title/cover, send Xiaohongshu, search Xiaohongshu, comment, like and add to favorites and any other Xiaohongshu related operations. Supports a one-stop complete process from copywriting creation to automatic publishing. Cover AI generated images need to be configured with optional environment variables (GEMINI_API_KEY or IMG_API_KEY or HUNY...
little red book
Xiaohongshu automated operation tool - supports: searching notes, viewing note details and comments, browsing recommendation streams, and publishing graphic notes. Used when users mention xiaohongshu, Xiaohongshu, RedNote, or need to conduct content research/publishing on this platform.
Platforms
little red book is categorized under Data & Analytics. These skills help AI agents perform specialized tasks in this domain.