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xhs-content

Generate XiaoHongShu content drafts from a topic keyword.

9|1|Updated Mar 11, 2026
Search Tags:#content generation#topic research#xiaohongshu#keyword-driven#draft writing#jsonl reporting
One-click install
npx skills add https://github.com/mindfold-ai/xhs-content --skill xhs-content
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: xhs-content
Source: https://github.com/mindfold-ai/xhs-content/tree/main
Command: npx skills add https://github.com/mindfold-ai/xhs-content --skill xhs-content

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires xhs-cli, python3, and includes scripts (resource) and references (resource) components.

What problem does it solve?

The Skill removes the time-consuming work of manually browsing XiaoHongShu to find what’s trending, analyzing content angles, and then drafting posts that match XHS-native style.

Core Features & Use Cases

  • Keyword-driven XHS research: Searches a keyword on XiaoHongShu, fetches detailed content (body, tags, engagement, timestamps, and IP location) for top posts, and saves raw results as sources.jsonl.
  • AI-generated topic report: Produces report.md with heat overview, angle clustering, top-note summaries, and differentiation suggestions based on the collected data.
  • XHS-style content generation: Generates 1–3 ready-to-review XHS note drafts in drafts.md following the provided writing style rules.

Quick Start

Provide the keyword you want to explore and ask your assistant to run /xhs-content for that keyword so it outputs sources.jsonl, report.md, and drafts.md.

Frequently Asked Questions about xhs-content

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

FAQPage Schema
How do I generate XiaoHongShu drafts from a topic keyword?▼

To generate XiaoHongShu drafts from a topic keyword, provide the keyword and run the /xhs-content command. The Skill fetches trending posts, analyzes content angles, and outputs ready-to-review XHS note drafts.

What is included in an AI-generated XHS topic research report?▼

An AI-generated XHS topic research report includes a heat overview, angle clustering, top-note summaries, and differentiation suggestions based on real engagement data collected from XiaoHongShu.

Do I need Python and xhs-cli to collect XiaoHongShu trending posts?▼

Yes, you need Python and xhs-cli installed to collect XiaoHongShu trending posts. The Skill executes a Python search collection script that uses xhs-cli for fetching search results and detailed post data.

Can I use this Skill for end-to-end research-to-draft workflows on XiaoHongShu?▼

Yes, you can use this Skill for end-to-end research-to-draft workflows on XiaoHongShu. It is designed for marketers, creators, and growth teams who need inspiration, angle clustering, and differentiation based on real engagement data.

What output files does the XiaoHongShu content generation process produce?▼

The XiaoHongShu content generation process produces three output files: sources.jsonl for raw post data, report.md for the topic research report, and drafts.md containing 1–3 ready-to-review XHS note drafts.

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