A cross-platform social media content analytics engine that decodes recommendation algorithms and competitor strategies to drive viral content creation.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install mimo-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 mimo-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-data-api?
The xhs-data-api skill is an advanced multi-platform content analysis and diagnostic system designed for modern digital marketers and content creators. Powered by Openclaw Skills, this agent-ready solution specializes in deep decoding of the Xiaohongshu (XHS) CES algorithm and traffic pool distribution mechanisms. Beyond XHS, the skill provides cross-platform benchmarking across mainstream Chinese social media networks, including Douyin, Bilibili, Weibo, and WeChat Video Accounts.
By leveraging the multi-source aggregation architecture of Openclaw Skills, this module empowers creators to strip away guesswork. It systematically deconstructs viral content patterns, monitors competitor strategies, generates high-converting titles, and optimizes tag configurations based on hard data. It turns arbitrary publishing into a highly systematic, data-driven content flywheel that maximizes reach and engagement.
xhs-data-api Use Cases
- Xiaohongshu CES Algorithm Optimization: Automatically score and evaluate draft or published content using XHS's exact CES formula (Likes + Saves + 4x Comments + 4x Shares + 8x Follows).
- Competitor Strategy Monitoring: Track benchmark accounts to analyze their update frequency, viral post ratios, and monetization methods.
- Cross-Platform Adaptation: Adapt a single piece of content for XHS, Douyin, and Bilibili by restructuring it to match each platform's unique recommendation algorithms.
- Title and Cover Optimization: Apply 10 proven high-click title formulas and analyze image styles to increase click-through rates.
- 30-Day Growth Auditing: Implement weekly structured improvement plans based on data diagnosis of mature or bottlenecked accounts.
How xhs-data-api Works
- Data Ingestion: The agent collects public data points including follower counts, post counts, likes, saves, and engagement rates to diagnose the account's current lifecycle stage.
- Feature Deconstruction: It analyzes content components, comparing titles against high-performing formulas and identifying visual styles (e.g., contrast-based, emotional, suspenseful).
- Algorithm Simulation: Applies simulated algorithm models (such as XHS CES scoring or Douyin completion metrics) to calculate expected traffic pool progression.
- Competitive & Cross-Platform Analysis: Benchmarks performance against competitors and maps out content adaptation strategies to exploit traffic opportunities on other platforms.
- Optimization Generation: Produces a customized, week-by-week 30-day action plan featuring optimized publishing windows, tag recommendations, and A/B test outlines.
xhs-data-api Setup
Configure the xhs-data-api skill within your Openclaw instance to begin automated data analysis.
Ensure you have your environment variables set if you are utilizing downstream APIs or custom scrapers:
# Initialize the skill in your Openclaw directory
openclaw install xhs-data-api
# Set required API credentials or platform tokens
export XHS_API_KEY="your_api_key_here"
export DEPLOY_ENV="production"
Once installed, you can trigger the skill using keywords like 小红书数据 (XHS data), 笔记分析 (Note analysis), or 爆款分析 (Viral analysis).
xhs-data-api Data Schema & Taxonomy
The xhs-data-api skill aggregates data metrics into structured tables to guide operational decisions. Below is the core evaluation matrix used by the system:
| Indicator | Excellent | Good | Needs Improvement |
|---|---|---|---|
| Interaction Rate | >8% | 5-8% | <2% |
| Like-to-Save Ratio | >0.5 | 0.3 - 0.5 | <0.15 |
| Viral Post Rate | >20% | 10-20% | <5% |
| Completion Rate (Video) | >60% | 40-60% | <25% |
| Follower Conversion | >3% | 1-3% | <0.5% |
Best Publishing Windows
| Platform | Weekday Peak | Weekend Peak |
|---|---|---|
| Xiaohongshu | 12:00-13:30 / 20:00-22:00 | 10:00-12:00 / 20:00-22:00 |
| Douyin | 12:00-13:00 / 18:00-20:00 | 10:00-12:00 / 19:00-22:00 |
| Bilibili | 18:00-20:00 / 21:00-23:00 | 10:00-12:00 / 20:00-23:00 |
xhs-data-api Advanced Features
- Multi-Platform Adaptation Matrix: Automatically transforms a single master draft into customized variations optimized for XHS (saves-heavy), Bilibili (three-combo heavy), or Douyin (completion-heavy).
- Automated 48-Hour Review Hook: Triggers an automated data retrospection 48 hours after publication to plot actual performance against the initial projection.
- Data Flywheel Generation: Compiles historical analysis reports to build a personalized content flywheel, refining recommendations over time.
- Fallback Estimation Engine: Uses public-domain search data and competitor estimations when direct account metrics are unavailable, ensuring continuous intelligence.
SKILL.md
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