replying-to-comments

Name: replying-to-comments
Availability: InStock
Author: wensia

Fetch Xiaohongshu note comments and generate concise replies, logging them to Feishu.

2|1|Updated Dec 30, 2025

Search Tags:#automation #mcp #engagement #comments #reply #xiaohongshu

Ready to run

npx skills add https://github.com/wensia/xiaohongshu-poster-generator --skill replying-to-comments

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: replying-to-comments
Source: https://github.com/wensia/xiaohongshu-poster-generator/tree/main/skills/reply-comments
Command: npx skills add https://github.com/wensia/xiaohongshu-poster-generator --skill replying-to-comments

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Manages Xiaohongshu comment replies by fetching comments from notes and generating warm, concise responses, enabling faster engagement and consistent tone across posts.

Core Features & Use Cases

Automatically fetch notes' comments and generate replies with a concise length (≤100 characters)
Batch view across notes or target specific notes by title or URL, then generate suggested replies
Save interaction records to Feishu for tracking and accountability

Quick Start

Tell this skill to fetch all comments across notes and generate ready-to-review replies, then confirm before posting.

Frequently Asked Questions about replying-to-comments

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I automate Xiaohongshu comment replies for multiple notes?▼

Automating Xiaohongshu comment replies involves fetching comments across notes via search or URL, generating concise responses, and confirming before posting. This skill streamlines batch engagement by reviewing suggested replies and executing bulk or per-comment workflows.

Can I generate Xiaohongshu replies under 100 characters automatically?▼

Yes, generating Xiaohongshu replies under 100 characters automatically is supported. The skill fetches note comments and creates warm, concise responses tailored to fit length limits, ensuring consistent tone across posts before you confirm posting.

How does logging Xiaohongshu comment replies to Feishu work?▼

Logging Xiaohongshu comment replies to Feishu works by creating traceability records in a bitable app table after posting. This ensures accountability by saving the interaction details, including the generated response and target comment data, directly to your Feishu workspace.

What is needed to fetch Xiaohongshu comments and generate replies?▼

Fetching Xiaohongshu comments and generating replies requires an active login status check and MCP functions like search_feeds and get_feed_detail. You provide a note title or URL, and the system retrieves the relevant comments to prepare suggested responses for your review.

Does batch viewing Xiaohongshu comments across notes require specific URLs?▼

Batch viewing Xiaohongshu comments across notes does not strictly require specific URLs. While you can target individual notes by title or URL, the feature also supports fetching comments globally across your notes to generate suggested replies in one batch.

Why are my automated Xiaohongshu comment replies not posting?▼

Automated Xiaohongshu comment replies might not post if the login status check fails or if you have not explicitly confirmed the suggested replies. The workflow pauses for user confirmation before executing the reply_comment_in_feed function to post any generated response.