A specialized optimization tool designed to maximize visibility and engagement on the Xiaohongshu platform by aligning content with its unique recommendation algorithms.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install xiaohongshu-algorithm-optimizer
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-algorithm-optimizer 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 Algorithm Optimizer?
The Xiaohongshu Algorithm Optimizer is a sophisticated tool within the Openclaw Skills ecosystem tailored for creators and marketers on China's premier lifestyle platform. It provides end-to-end content optimization by refining titles, paragraph structures, and keyword layouts to meet the specific demands of Xiaohongshu's recommendation logic. By leveraging these Openclaw Skills, users can transform low-traffic posts into high-performing notes that resonate with target audiences and satisfy platform metrics like click-through and completion rates.
This skill focuses on the core principles of keyword placement, user value (altruism), and vertical consistency. It ensures that every piece of content is positioned to move through successive traffic pools, from the initial 500-impression test to the high-level 100k+ exposure pools. By using Openclaw Skills, creators can maintain an authentic voice while professionally navigating the technical requirements of the XHS ecosystem.
Xiaohongshu Algorithm Optimizer Use Cases
- Optimizing content structure for new Xiaohongshu notes before publication to maximize initial exposure.
- Diagnosing and modifying existing low-traffic notes to trigger re-entry into recommendation pools.
- Analyzing the logic behind viral notes to replicate success within specific vertical niches.
- Planning and scheduling vertical content topics based on current platform trends and user pain points.
How Xiaohongshu Algorithm Optimizer Works
- Performs a requirement analysis to identify the niche, target user persona, and core keywords.
- Generates optimized titles (15-25 characters) using proven viral formulas like pain-point, numerical, or contrast styles.
- Restructures content with 'opening hooks' in the first three lines and emoji-segmented body text for better readability.
- Implements a strategic tag combination consisting of 1 broad, 2 mid-tier, and 3 precise vertical tags.
- Suggests high-contrast cover image text (10-20 characters) designed to maximize initial click-through rates (CTR).
- Provides final diagnostic checks to ensure the content adheres to platform safety and advertising regulations.
Xiaohongshu Algorithm Optimizer Setup
To integrate this skill into your workflow, ensure you have the Openclaw environment configured.
# Clone the Openclaw Skills repository
git clone https://github.com/openclaw/skills.git
# Navigate to the optimizer directory
cd skills/xiaohongshu-algorithm-optimizer
# Follow the specific agent integration steps for your IDE
Xiaohongshu Algorithm Optimizer Data Schema & Taxonomy
The skill organizes optimization data into a structured output format for easy implementation:
| Data Component | Format | Optimization Goal |
|---|---|---|
| Optimized Title | String (15-25 chars) | Maximize CTR and Search Weight |
| Content Structure | Markdown | Improve Completion and Interaction Rates |
| Tag Combination | Array (5-7 tags) | Precise Traffic Matching |
| Cover Text | String (10-20 chars) | Initial Visual Impact |
| Safety Meta | Policy Check | Avoid Traffic Restrictions |
Metadata includes keyword density tracking and verticality alignment scores to ensure long-term search traffic (30%-70% of total traffic).
Xiaohongshu Algorithm Optimizer Advanced Features
- Multi-niche support for Beauty, Fashion, Home, Parenting, and Career verticals.
- Automated viral formula templates for high-conversion titles and opening hooks.
- Strategic keyword front-loading logic for enhanced search engine optimization within the platform.
- Integrated safety filter to prevent the use of restricted advertising terms or sensitive content.
- Interaction-driven CTA (Call to Action) generation to boost 'Save', 'Like', and 'Follow' metrics.
SKILL.md
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