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SamCuipogobongo
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xhs-content

Generate XiaoHongShu topic research and note drafts from a keyword.

Updated Mar 11, 2026
Search Tags:#content generation#trend analysis#topic research#keyword search#draft writing#xiao hong shu
One-click install
npx skills add https://github.com/SamCuipogobongo/xhs-content --skill xhs-content-samcuipogobongo
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: xhs-content
Source: https://github.com/SamCuipogobongo/xhs-content/tree/main
Command: npx skills add https://github.com/SamCuipogobongo/xhs-content --skill xhs-content-samcuipogobongo

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires subprocess, json, argparse, sys, datetime, and includes scripts (resource) and references (resource) components.

What problem does it solve?

Turning an idea into a small red book topic with the right angles and a platform-native draft is time-consuming, because you must manually collect what’s already trending, analyze recurring themes, and then write notes in XiaoHongShu style.

Core Features & Use Cases

  • Keyword-driven topic research: Searches XiaoHongShu by keyword, reads full text and metadata for top posts, and aggregates them into a structured dataset.
  • AI-generated selection report: Produces a topic report covering heat overview, angle clustering, top post summaries, and data-based differentiation suggestions.
  • XiaoHongShu-native draft generation: Generates 1–3 note drafts following a fixed prompt with XHS style and formatting rules (including title/emoji/hashtags and “dry goods” structure).

Quick Start

Ask Claude: “/xhs-content AI 桌宠”，then review the generated sources.jsonl, report.md, and drafts.md in the output data folder.

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 topic research and draft posts from a keyword?▼

To generate XiaoHongShu topic research and drafts, use a keyword-driven workflow that searches trending notes, aggregates their metadata and angles into a dataset, and then writes 1–3 native posts. It outputs a topic report and formatted drafts using a fixed prompt.

What is the best way to analyze XiaoHongShu trending topics and angles?▼

The best way to analyze XiaoHongShu trending topics is to search top posts by keyword, read their full text and metadata, and aggregate them into a structured dataset. An AI-generated selection report then clusters angles and summarizes top posts for differentiation.

Do I need Python and xhs-cli login to research XiaoHongShu content in Claude Code?▼

Yes, you need Python with xhs-cli login to research XiaoHongShu content in Claude Code workflows. The Skill runs a Python script to collect trending notes and produce a JSONL file of sources before generating the analysis report and drafts.

Can I automate XiaoHongShu first-draft creation with title, emoji, and hashtags?▼

Yes, you can automate XiaoHongShu first-draft creation to produce notes with titles, emojis, hashtags, and a dry goods structure. The generation follows a fixed prompt with XHS style and formatting rules to ensure native platform output.

What files are output when drafting XiaoHongShu notes from a single keyword?▼

When drafting XiaoHongShu notes from a single keyword, the workflow outputs sources.jsonl containing the collected post data, report.md with the heat overview and angle clustering, and drafts.md containing the generated native note drafts.

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