An AI-powered workflow designed to extract and synthesize core insights from Xiaohongshu posts and their surrounding community discussions.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install rednote-summarize
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 rednote-summarize 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 Summarizer?
The Xiaohongshu Post Summarizer is a specialized automation tool within the Openclaw Skills ecosystem. It leverages a browser sub-agent to navigate the complex web interface of Xiaohongshu (Little Red Book), handling the intricate login requirements and dynamic content loading that typically hinder standard scrapers.
By systematically processing both the primary post content and the high-value comment section, this skill provides users with a comprehensive dual-report. It distills long-form lifestyle content, product reviews, or social trends into actionable summaries, capturing not just the author's intent but also the authentic sentiment of the audience.
Xiaohongshu Post Summarizer Use Cases
- Market research to gauge consumer sentiment on specific product trends.
- Quick consumption of long-form tutorial or travel guide posts.
- Monitoring public opinion and common feedback within the comment sections of viral posts.
- Content curation for social media managers looking for high-engagement topics.
How Xiaohongshu Post Summarizer Works
- The browser sub-agent initializes the provided Xiaohongshu URL and monitors for mandatory login triggers or QR code overlays.
- Upon successful access, the agent extracts the full title and body text of the primary post.
- The AI generates a structured summary of the main post's core message and key takeaways in Chinese.
- The agent executes a page scroll to trigger the dynamic loading of the comment section and captures top-rated or representative comments.
- A secondary analysis is performed to synthesize community sentiment (e.g., support, criticism, or additional tips).
- The system compiles both summaries into a single, professional report for the user.
Xiaohongshu Post Summarizer Setup
To deploy this skill, ensure your Openclaw environment has the browser sub-agent configured and authenticated.
# Example of triggering the skill via Openclaw CLI
openclaw run xiaohongshu-summarizer --url "https://www.xiaohongshu.com/explore/example-post"
Note: Because Xiaohongshu often requires a login to view full comments, manual intervention may be required to scan a QR code during the first session initialization.
Xiaohongshu Post Summarizer Data Schema & Taxonomy
The skill processes and returns data based on the following structure:
| Component | Source | Description |
|---|---|---|
| Main Summary | Post Body | AI-distilled version of the author's primary content. |
| Comment Analysis | Interaction Area | Summary of user sentiment, including common rebuttals or praise. |
| Metadata | Page Header | Captures post title and author information. |
| Interaction State | Browser Session | Tracks login status and scroll depth for comment loading. |
Xiaohongshu Post Summarizer Advanced Features
- Smart Login Handling: Detects QR code login windows and pauses for user interaction via notify_user hooks.
- Dynamic Sentiment Mapping: Categorizes community responses into specific archetypes like 'supportive', 'critical', or 'supplementary'.
- Automated Scroll-Loading: Programmatically simulates user behavior to ensure a representative sample of comments is captured for analysis.
- Multi-Agent Collaboration: Utilizes a dedicated browser sub-agent to separate the navigation logic from the primary LLM reasoning.
SKILL.md
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