A specialized data intelligence skill for analyzing Xiaohongshu market trends, creator performance, and brand competitive landscapes.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install xhs-data-api
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install xhs-data-api using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is XHS Content Market Analysis (xhs-data-api)?
The xhs-data-api is a comprehensive content market analysis tool designed for the Xiaohongshu (XHS) ecosystem. It serves as a bridge between raw social data and actionable marketing intelligence, allowing developers and marketers to query note patterns, creator archetypes, and brand penetration. By leveraging seven specialized endpoints, it transforms complex social metrics into strategic recommendations for content direction and partnership ROI.
As part of the Openclaw Skills library, this tool prioritizes data transparency. It provides explicit feedback on data coverage and gaps, ensuring that every insight is contextualized within its specific sample size. This makes it an essential asset for anyone looking to master the XHS platform through a data-driven approach.
XHS Content Market Analysis (xhs-data-api) Use Cases
- Formulating content strategies by identifying trending note formats and viral topics.
- Selecting high-ROI creators for brand collaborations based on fan profiles and historical performance.
- Competitive benchmarking to understand brand voice and market share within specific categories.
- Assessing keyword viability and supply-demand density before launching new campaigns.
How XHS Content Market Analysis (xhs-data-api) Works
- The process begins with the data-index call to retrieve a list of currently indexed categories and keywords available for analysis.
- User inputs are mapped to these supported system dimensions to ensure query accuracy.
- Specific endpoints are called based on the user's objective, such as landscape analysis (C), note discovery (B), or brand market mapping (G).
- The skill extracts raw numerical data along with human-readable labels for intuitive reporting.
- It evaluates the _coverage and _dataGaps fields to determine the statistical reliability of the findings.
- Finally, it synthesizes the data into a structured report containing core conclusions, data findings, and actionable next steps.
XHS Content Market Analysis (xhs-data-api) Setup
To enable the XHS analysis capabilities within your Openclaw Skills environment, you must configure your API credentials:
# Set your Xiaohongshu Data API Key
export XHS_API_KEY="your_api_key_here"
Ensure that all requests include the X-API-Key header populated with your environment variable.
XHS Content Market Analysis (xhs-data-api) Data Schema & Taxonomy
The skill organizes data into several logical domains to provide a 360-degree view of the platform:
| Data Domain | Description | Key Metadata |
|---|---|---|
| Note Landscape | Content distribution and viral patterns | formatDistribution, viralTypes, commercialRatio |
| Creator Profiles | Deep-dive metrics for specific authors | fanPortrait, historyContent, authorId |
| Market Brand | Brand-level competitive data | voiceRanking, supplyDemand, marketLandscape |
| System Metadata | Data reliability indicators | _coverage.coverageNote, _dataGaps |
All numerical outputs include a xxxLabel (e.g., "1.23M") for enhanced readability.
XHS Content Market Analysis (xhs-data-api) Advanced Features
- Intelligent mapping of user-defined keywords to system-indexed taxonomy.
- ROI comparison tools to evaluate high-tier vs. mid-tier creator investment efficiency.
- Automated data gap detection to alert users of potential sample biases.
- Multi-dimensional decision trees that select the optimal API endpoint based on the nature of the user's query.
SKILL.md
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