xhs-content
XiaoHongShu (小红书) content creation tool. Collects trending XHS notes by keyword, generates a topic research report, then produces XHS-style note drafts. Use when the user wants to: (1) research what's trending on XiaoHongShu/小红书 for a topic, (2) generate XHS note drafts, (3) find XHS content inspiration, or mentions "小红书", "XHS", "xiaohongshu", "xhs content", "xhs note".
来源信息
- 仓库
- mindfold-ai/xhs-content
- 最近来源活动
- 2026年3月11日 06:49
- 检测到的 SKILL.md 语言
- 多语言混合
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安装方式
默认使用会先检查来源的 Prompt;你也可以切换为直接命令,或下载本地副本。
检查来源文件
决定是否安装前,请先阅读 SKILL.md,以及 SkillsMP 当前展示的配套文件。
正在显示 SKILL.md
SKILL.md
来源说明 · 只读预览- name
- xhs-content
- description
- XiaoHongShu (小红书) content creation tool. Collects trending XHS notes by keyword, generates a topic research report, then produces XHS-style note drafts. Use when the user wants to: (1) research what's trending on XiaoHongShu/小红书 for a topic, (2) generate XHS note drafts, (3) find XHS content inspiration, or mentions "小红书", "XHS", "xiaohongshu", "xhs content", "xhs note".
# XHS Content — 小红书选题采集 + 内容生成
从小红书采集热门笔记 → 汇总选题报告 → 生成笔记草稿。
## Prerequisites
- **Python 3** — 运行采集脚本
- **xhs-cli** — 小红书 CLI 工具 (`pipx install xhs-cli` 或 `uv tool install xhs-cli`)
- 已登录 (`xhs login` — 支持 QR 码 / cookie / Chrome 自动提取)
## Usage
给定一个关键词,执行三步流程:
### Step 1: 采集
```bash
python3 scripts/xhs-search.py --keyword "<关键词>" --limit 30
```
采集结果自动保存到 `data/<date>-<keyword>/sources.jsonl`。
### Step 2: 汇总报告
读取 `sources.jsonl`,生成选题报告 `data/<date>-<keyword>/report.md`,包含:
- 话题热度概览(总笔记数、平均互动)
- 热门角度分类(按标题/内容聚类)
- Top 笔记摘要(标题、互动数据、核心观点)
- 选题建议(基于数据的差异化切入点)
- 全部采集笔记表格(标题、作者、赞/藏/评、链接,按互动量降序)
### Step 3: 生成笔记
基于报告 + 固定 prompt,生成 1-3 篇小红书笔记草稿,保存到 `data/<date>-<keyword>/drafts.md`。
## Workflow (for Claude)
When this skill is triggered:
1. Ask user for keyword (if not provided)
2. Run `xhs-search.py` to collect posts → save JSONL
3. Read JSONL, generate report markdown
4. Read report + `references/prompt.md`, generate note drafts
5. Present drafts to user for review
## Data Directory
All outputs go to `.claude/skills/xhs-content/data/<date>-<keyword>/`:
- `sources.jsonl` — raw collected posts
- `report.md` — topic research report
- `drafts.md` — generated note drafts
## References
- `references/prompt.md` — Fixed generation prompt with XHS style rules
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