xiaohongshu-ops

Automate Xiaohongshu account operations from positioning to comment engagement.

2|Updated Feb 18, 2026
One-click install
npx skills add https://github.com/imsatoshi/bot_article --skill xiaohongshu-ops-imsatoshi
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: xiaohongshu-ops
Source: https://github.com/imsatoshi/bot_article/tree/main/skills/xiaohongshu-ops
Command: npx skills add https://github.com/imsatoshi/bot_article --skill xiaohongshu-ops-imsatoshi

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) and assets (resource) components.

What problem does it solve?

It helps you run a complete Xiaohongshu (小红书) content operation workflow—positioning, topic ideation, publishing preparation, publishing execution, and post-publish comment engagement—without manually coordinating every step.

Core Features & Use Cases

  • Account positioning & reusable SOP: Define persona, content pillars, speaking style, and boundaries before doing any production work.
  • Topic research and “ready-to-post” outputs: Gather platform signals and turn them into publishable topic lists with hooks, angles, risks, and CTAs.
  • End-to-end execution with guardrails: Guide publishing rehearsal and publish-side validation (cover/title/body), plus lightweight post-publish interaction and risk control.
  • Human-like comment handling: Use notification-first reply logic with alignment checks, pacing rules, and length limits to reduce mis-sends and platform risk.

Quick Start

Ask OpenClaw to run the xiaohongshu-ops skill to define your account positioning, generate a batch of topic candidates, and prepare a publishing draft with comment-reply readiness.

Frequently Asked Questions about xiaohongshu-ops

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

FAQPage Schema
How do I automate Xiaohongshu content operations from topic research to publishing?

You can automate Xiaohongshu content operations by using an SOP workflow that handles account positioning, topic ideation, publish preparation, and post-publish comment engagement without manual coordination. It generates ready-to-post outputs with hooks and CTAs.

What is the best way to manage Xiaohongshu comment replying without triggering risk control?

The best way to manage Xiaohongshu comment replying is using notification-first reply logic with alignment checks, pacing rules, length limits, and a one-send-per-turn safety constraint to reduce mis-sends and platform risk control triggers.

How do I set up a reusable content SOP for different Xiaohongshu verticals?

To set up a reusable content SOP for Xiaohongshu verticals, define your persona, content pillars, speaking style, and boundaries first, then apply this framework to generate topic candidates with angles, risks, and CTAs across different niches.

Can I enforce stopping checkpoints during Xiaohongshu publish execution?

Yes, you can enforce deterministic operational guardrails during Xiaohongshu publish execution, including publish-page stopping checkpoints for cover, title, and body validation, plus ad-hoc fallback paths to ensure safe publishing.

Does Xiaohongshu topic research automation include risk assessment for posts?

Yes, Xiaohongshu topic research automation includes risk assessment by gathering platform signals and turning them into publishable topic lists that explicitly outline hooks, angles, risks, and calls to action before production.

What are the limitations of automating post-publish interaction on Xiaohongshu?

Limitations of automating post-publish interaction include strict safety constraints like one-send-per-turn rules, placeholder-based reply alignment, and pacing limits to ensure human-like comment handling and avoid platform risk control.