xhsfenxi for Openclaw

An advanced analysis skill for deconstructing Xiaohongshu creators, identifying account archetypes, and extracting viral content formulas.

cosmofang
v2.1.0
Apr 9, 2026
0
791
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install xhsfenxi

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install xhsfenxi 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 xhsfenxi?

The xhsfenxi skill for Openclaw Skills is a professional-grade toolset designed to analyze Xiaohongshu (RED) accounts with surgical precision. It goes beyond simple metrics by utilizing a proprietary Three-Archetype Classification System—Absurdist Aesthetics, Resonance and Naming, and Reality and Strategy—to decode the underlying psychology of successful creators. By leveraging this skill, developers and marketers can transform raw social media data into structured strategic insights.

This skill is built to handle the entire lifecycle of creator research, from initial intake and public evidence gathering to the generation of business-ready Word documents. It emphasizes high-quality evidence grading and actionable content transferability, ensuring that every analysis provides a clear roadmap for either emulating success or identifying unique market positioning within the Openclaw Skills ecosystem.

xhsfenxi Use Cases

  • Deep-dive analysis of benchmark Xiaohongshu accounts to understand audience contracts.
  • Identification of creator archetypes to determine content pillars and brand symbols.
  • Extraction of viral topic formulas and reusable title mechanisms for content planning.
  • Comparison of multiple competitors to identify shared foundations and key differentiators.
  • Generation of professional, structured reports in Word format for clients or stakeholders.

How xhsfenxi Works

  1. Task Clarification: The skill uses specialized scripts to lock in the requested output mode, such as a structured report or topic formula.
  2. Source Acquisition: It gathers account names, URLs, screenshots, and external references to build a comprehensive data pool.
  3. Research Laddering: Data is processed through a graded evidence system, ranging from direct profile inspection to secondary synthesis.
  4. Archetype Classification: The skill identifies if a creator fits the Absurdist, Resonance, or Reality archetype to frame the strategic lens.
  5. Model Construction: A five-layer account model is built covering identity, audience, topics, expression, and transferability.
  6. Deliverable Production: Final insights are compiled directly into professional .docx files with structured tables and strategic recommendations.

xhsfenxi Setup

To get started with this skill within the Openclaw Skills framework, ensure your environment meets the requirements:

# Check Node.js version (requires >=18)
node -v

# Initialize a new analysis task using the intake script
node scripts/intake.js

# To run a quick archetype classification for a specific creator
node scripts/archetype.js <creator-name> --quick

xhsfenxi Data Schema & Taxonomy

The skill organizes its output into structured business deliverables. The standard data schema for reports includes:

Deliverable Type Key Metadata File Format
Structured Summary Snapshot, Archetype, Positioning, Audience Contract .docx
Viral Topic Formula Formula Models, Title Hooks, Migration Guide .docx
Comparison Report Archetype Map, Hybrid Formulas, Recommendations .docx

xhsfenxi Advanced Features

  • Advanced archetype classification script for rapid creator categorization.
  • Graded evidence quality system to distinguish between audited facts and public inferences.
  • Automated business-grade Word document generation with built-in TOC and formatting.
  • Multi-creator comparison modes for complex competitive landscape mapping.
  • Strategic learning filters to identify what to replicate versus what to stay differentiated on.

SKILL.md


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