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kunhai1994
kunhai1994COMMUNITY
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xhs-research

Search Xiaohongshu notes and generate AI research reports.

38|2|Updated Mar 28, 2026
Search Tags:#research#information retrieval#AI#market analysis#Xiaohongshu
One-click install
npx skills add https://github.com/kunhai1994/xhs-research --skill xhs-research
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: xhs-research
Source: https://github.com/kunhai1994/xhs-research/tree/main
Command: npx skills add https://github.com/kunhai1994/xhs-research --skill xhs-research

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill solves the problem of researching topics on Xiaohongshu efficiently. It leverages AI to quickly gather and synthesize information from the platform, saving users time and effort.

Core Features & Use Cases

  • AI-powered Research: Uses machine learning to understand user queries and retrieve relevant information from Xiaohongshu.
  • Multi-round Parallel Search: Searches for multiple keywords in parallel, ensuring comprehensive coverage.
  • Three-dimensional Scoring: Evaluates search results based on relevance, recency, and engagement to provide the best information.
  • Customization: Allows users to customize search parameters, such as time range and number of results.
  • Use Case: A user can research "best AI art tutorials" and receive a detailed report with rankings, comparisons, and trends.

Quick Start

To start a research session, use the command: /xhs-research "your research topic"

Frequently Asked Questions about xhs-research

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

FAQPage Schema
How do I conduct Xiaohongshu market analysis using AI?▼

AI-driven Xiaohongshu market analysis is done by searching notes in parallel and evaluating them based on relevance, recency, and engagement to synthesize a detailed research report. You can customize time ranges and result limits.

Can I monitor Xiaohongshu trends by searching multiple keywords in parallel?▼

Yes, monitoring Xiaohongshu trends is supported through multi-round parallel search that queries multiple keywords simultaneously, ensuring comprehensive topic coverage and generating synthesized insights into user behavior.

Do I need a Python environment and Xiaohongshu API access for user research?▼

Xiaohongshu user research requires a Python environment with pandas, requests, and json dependencies, alongside Xiaohongshu API access to run the research engine and retrieve notes for analysis.

What is the best way to evaluate Xiaohongshu notes for trend monitoring?▼

The best way to evaluate Xiaohongshu notes for trend monitoring is using three-dimensional scoring, which ranks search results by relevance, recency, and engagement to prioritize the most valuable information.

Are there limitations when using AI for Xiaohongshu information retrieval?▼

Limitations of AI Xiaohongshu information retrieval include dependencies on API access availability and the necessity of a local Python environment, which may restrict usage if access is revoked or environment setup fails.

Does xhs-research support customizing search parameters for specific time ranges?▼

Yes, xhs-research supports customizing search parameters, allowing you to define specific time ranges and the number of results returned to tailor the AI-generated research report to your exact needs.

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