Agent skill · Content & Marketing

xiaohongshu-ingest

小红书笔记采集 → 统一 frontmatter Markdown → 爆款拆解 + 衍生选题。 支持笔记链接和 xhslink 短链;爆款拆解按「人群×场景×痛点×情绪×钩子」生成可复用选题。

chubbyguan576★ · +14/wk · 1 repos on radarProfile →
claude-codeships scriptsMIT
Install
npx skills add chubbyguan/chubbyskills --skill xiaohongshu-ingest --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 4
SKILL.md size: 2 KB
Bundled scripts: yes
Version: 1.0.0
Path: xiaohongshu-ingest/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 590 · +14 this week
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# 小红书采集 + 爆款拆解 Skill 把小红书笔记抓成结构化 Markdown 入库,再用 DeepSeek 拆解爆款逻辑、衍生可直接写的选题。 **自动区分图文与视频笔记**:图文 → 下载图片本地嵌入;视频 → 像抖音那样转成文字稿。 补齐了仓库在「中文内容采集」上最大的平台缺口,也是「采集 → 选题」创作工作流的起点。 ## 环境要求 ```bash # 图文采集零依赖(仅 Python 标准库) # 视频笔记转录需要(与抖音/B站转录同一套依赖): pip install funasr modelscope torch torchaudio # macOS: brew install ffmpeg | Ubuntu: sudo apt install ffmpeg # 强烈建议:配置 cookie 以规避风控(从浏览器登录后复制) export XHS_COOKIE="你的小红

More from chubbyskills
All skills →
About this skill
What does the xiaohongshu-ingest skill do?

小红书笔记采集 → 统一 frontmatter Markdown → 爆款拆解 + 衍生选题。 支持笔记链接和 xhslink 短链;爆款拆解按「人群×场景×痛点×情绪×钩子」生成可复用选题。

How do I install it?

Run `npx skills add chubbyguan/chubbyskills --skill xiaohongshu-ingest --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From chubbyguan/chubbyskills, a repository with 590 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going