A professional social media analyzer designed to evaluate, score, and optimize Xiaohongshu (RED) post content for maximum platform engagement.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install xiaohongshu-post-analyzer
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 xiaohongshu-post-analyzer 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 Xiaohongshu Post Analyzer?
The Xiaohongshu Post Analyzer is a highly specialized AI-driven tool designed for social media managers, creators, and marketers targeting the Xiaohongshu (RED) platform. Built to dissect text structure, emotional tone, and persuasive elements, this skill offers a comprehensive diagnostic report to improve key performance indicators including likes, saves, comments, and shares.
By leveraging advanced language models within the ecosystem of Openclaw Skills, creators can systematically audit drafts before publishing. The analyzer detects subtle emotional cues, highlights strengths, flags weaknesses that might hinder readability, and offers highly actionable, platform-specific optimization tips to boost your content's viral potential score.
Xiaohongshu Post Analyzer Use Cases
- Pre-publish Audits: Review draft copy for Xiaohongshu to ensure it matches the platform's high-aesthetic and community-driven tone.
- Engagement Diagnostic: Identify why past posts didn't perform well by analyzing emotional undertones and audience attraction hooks.
- A/B Testing Copy: Compare multiple hook variations or body texts to see which yields a higher predicted viral potential score.
- Localization & Tone Correction: Ensure translated or marketing-heavy copy feels native, authentic, and appealing to young Chinese-speaking demographics.
How Xiaohongshu Post Analyzer Works
- Input Collection: The user provides raw draft content, currently optimized for GPT-4 or Claude 3.5 Sonnet processing.
- Tone & Appeal Analysis: The skill scans the copy to identify core emotional tones (e.g., healing, motivational) and calculates how effectively it captures user attention.
- Engagement Prediction: The system estimates performance metrics across four dimensions: likes, saves, comments, and shares.
- SWOT Generation: It lists distinct structural strengths and weaknesses within the draft.
- Actionable Suggestions & Scoring: A concrete list of improvements is generated, alongside a Viral Potential Score scaled from 1 to 10.
Xiaohongshu Post Analyzer Setup
To integrate this analyzer with your environment, register it under your Openclaw Skills workflow using the following template configuration:
name: "Xiaohongshu Post Analyzer"
description: "Analyze Xiaohongshu post content and provide optimization suggestions."
model: "gpt-4" # or "claude-3-5-sonnet"
temperature: 0.5
system_prompt: |
You are a professional social media content analysis expert specializing in Xiaohongshu (RED) platform content strategy...
Ensure that your environment variables and LLM API keys are correctly configured before running the execution pipeline.
Xiaohongshu Post Analyzer Data Schema & Taxonomy
The Xiaohongshu Post Analyzer organizes its analytical outputs into a highly structured schema. Below is the metadata taxonomy generated for every analyzed post:
| Section | Type | Description |
|---|---|---|
| Emotional Tone | String | Detailed style, vibe, and emotional resonance evaluation. |
| Audience Attraction | String | Explains the underlying psychological triggers and why users stop scrolling. |
| Engagement Prediction | List | Multi-dimensional forecast covering Likes, Saves, Comments, and Shares. |
| Strengths & Weaknesses | Markdown Lists | Clear bullet points detailing structure advantages and conversion blockers. |
| Optimization Suggestions | Markdown List | Actionable, step-by-step tasks (e.g., ending with discussion-triggering questions). |
| Viral Potential Score | Float (1.0 - 10.0) | Quantitative grade representing the overall virality index on the RED platform. |
Xiaohongshu Post Analyzer Advanced Features
- Platform-Specific Optimization Rules: Specifically tuned for the unique emotional and community standards of the Xiaohongshu (RED) ecosystem.
- Dual-Model Compatibility: Fully optimized for top-tier LLMs including GPT-4 and Claude 3.5 Sonnet to ensure nuanced sentiment analysis.
- Structured Output Architecture: Ensures strict output predictability, making it highly compatible with downstream programmatic posting tools or multi-agent workflows within Openclaw Skills.
- Bilingual Processing Support: Seamlessly analyzes Chinese-language drafts and delivers detailed English evaluations and action plans.
SKILL.md
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