An intelligent comment analysis and reply suggestion tool designed for Xiaohongshu creators and brand managers.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install xiaohongshu-reply-assistant
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-reply-assistant 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 Reply Assistant?
The Xiaohongshu Reply Assistant is a specialized automation tool designed to streamline social media interactions on the Little Red Book platform. As a robust addition to the ecosystem of Openclaw Skills, this tool enables users to automatically analyze comment sentiment and intent, generating personalized reply suggestions to enhance engagement.
It bridges the gap between manual community management and full automation by offering smart analysis of fan feedback. Whether you are a content creator looking to manage high-volume notes or a brand operator monitoring brand mentions, this skill provides the necessary framework to maintain a professional and responsive presence online while reducing manual overhead.
Xiaohongshu Reply Assistant Use Cases
- Content creators needing to manage high volumes of fan comments and improve engagement quality efficiently.
- Brand operations teams monitoring brand-related content to respond to user feedback promptly.
- MCN agencies looking to batch manage comment replies across multiple accounts and notes.
- Data analysts collecting user sentiment and intent to optimize future content strategies.
How Xiaohongshu Reply Assistant Works
- The skill ingests comments via standalone input, batch file processing, or optional real-time API monitoring.
- It performs smart sentiment detection to classify comments as positive, negative, or neutral based on keyword analysis.
- The system executes intent recognition to identify specific requests like price inquiries, location asks, or resource seeking.
- It generates three distinct, personalized reply suggestions based on user-defined templates and variables.
- The tool logs processed comment IDs in a local history file to prevent duplicate replies and ensure consistent management.
Xiaohongshu Reply Assistant Setup
To get started with this entry in the Openclaw Skills library, follow these installation steps:
# Install required Python dependencies
pip3 install aiohttp loguru pycryptodome getuseragent
# Alternatively, use the provided installation script
chmod +x install.sh
./install.sh
Xiaohongshu Reply Assistant Data Schema & Taxonomy
The skill organizes its configuration and persistence data within the ~/.xhs_reply_assistant/ directory using the following structure:
| File | Format | Purpose |
|---|---|---|
config.json |
JSON | Stores user settings, suggestion limits, and customizable reply templates. |
history.json |
JSON | A database of processed comment IDs to avoid redundant processing. |
report.txt |
Text | Generated output for batch processing tasks. |
Xiaohongshu Reply Assistant Advanced Features
- Customizable reply templates with support for dynamic variables like {user}, {location}, and {transportation}.
- Full integration capabilities with the Xiaohongshu API for automated note monitoring and reporting.
- Batch processing engine for analyzing hundreds of comments simultaneously from external text files.
- Configurable rate limiting and check intervals to maintain platform compliance and avoid anti-bot measures.
SKILL.md
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