xiaohongshu

Automate Xiaohongshu note search, publishing, and engagement via browser control.

9|Updated Jun 11, 2026
One-click install
npx skills add https://github.com/llm011/ethan-agent --skill xiaohongshu-llm011
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: xiaohongshu
Source: https://github.com/llm011/ethan-agent/tree/main/ethan/defaults/skills/xiaohongshu
Command: npx skills add https://github.com/llm011/ethan-agent --skill xiaohongshu-llm011

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, websockets, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill reduces the manual effort of researching, publishing, and managing social interactions on Xiaohongshu while handling the platform’s navigation and anti-bot constraints.

Core Features & Use Cases

  • Content Discovery: Search notes, browse recommendations, inspect note details, review comments, and view user profiles.
  • Publishing Automation: Prepare and publish image posts, videos, and long-form articles, with support for tags, scheduling, originality declarations, visibility settings, and drafts.
  • Engagement Management: Like, favorite, comment on, and reply to notes with configurable interaction pacing.
  • Operational Workflows: Perform competitor analysis, trend tracking, content research, and structured multi-note reporting.
  • Use Case: A content team can research high-performing posts for a topic, compare their structures and engagement metrics, draft a Xiaohongshu post, obtain user confirmation, and publish it through a logged-in browser session.

Quick Start

Use the xiaohongshu skill to search for notes about a specified topic, summarize the strongest results, and prepare a publishable draft for confirmation.

Frequently Asked Questions about xiaohongshu

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

FAQPage Schema
How do I automate Xiaohongshu content publishing and engagement?

Automate Xiaohongshu content publishing and engagement by using browser control via the Chrome DevTools Protocol to manage note searches, image posts, likes, and comments with configured interaction pacing to reduce anti-bot challenges.

What is the best way to track competitor trends on Xiaohongshu?

Tracking competitor trends on Xiaohongshu involves automating note searches, inspecting profile details, and reviewing engagement metrics to generate structured multi-note reports for content research.

Does Xiaohongshu automation require an authenticated Chrome session?

Xiaohongshu automation requires an authenticated Chrome session or a separate login flow to handle structured xsec_token authentication for note details and controlled interaction pacing.

Can I automate likes and comments on Xiaohongshu without triggering anti-bot blocks?

Automating likes and comments on Xiaohongshu requires controlled interaction pacing to minimize anti-bot challenges during social engagement tasks executed through browser automation.

How to prepare and schedule Xiaohongshu drafts for video and image posts?

Prepare and schedule Xiaohongshu drafts for video and image posts by configuring tags, originality declarations, and visibility settings through browser automation before publishing.