Xiaohongshu Ingest Agent Skill
> 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。
Install
one command, takes just this skill from the repositorynpx skills add https://github.com/chubbyguan/chubbyskills --skill xiaohongshu-ingestThe instruction itself
1 sections, as written by the author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
# 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="你的小红书 cookie 字符串"
# 爆款拆解需要 DeepSeek API Key
export DEEPSEEK_API_KEY="your-api-key"
使用方法
# 1) 采集笔记 → 统一 frontmatter Markdown
python scripts/fetch_note.py "https://www.xiaohongshu.com/explore/xxxx" -o ./out
python scripts/fetch_note.py "http://xhslink.com/xxxx" -o ./out
python scripts/fetch_note.py "链接" -o ./out --no-images # 图文：只留图片链接不下载
python scripts/fetch_note.py "链接" -o ./out --no-video # 视频：不转录，只留视频链接
python scripts/fetch_note.py "链接" -o ./out --fallback-text 手动正文.txt
# 2) 爆款拆解 → 拆解报告 + 5 条衍生选题
python scripts/analyze_hook.py ./out/某笔记.md -o ./out
产出
fetch_note.py：标题、正文、标签、作者、互动数据（赞/藏/评）→ 统一 frontmatter Markdown（platform: xiaohongshu，含note_type: image|video）。按笔记类型分流：- 图文笔记：图片下载到本地
<标题>.assets/并以!嵌入（正文常在图里，本地化后 Obsidian 直接可见）。--no-images只留链接，单张失败自动回退为链接 - 视频笔记：提取视频直链 → ffmpeg 抽音频 → SenseVoice 转录为文字稿写入
## 视频文字稿。--no-video只留视频链接；缺 funasr/ffmpeg 时自动降级为存链接 analyze_hook.py：目标人群 / 场景 / 痛点 / 情绪价值 / 标题钩子 / 正文结构 / 可复用模板 / 5 条衍生选题（带- [ ]勾选，可直接进选题库）
⚠️ 关于反爬（务必先读）
小红书风控严格，未登录的纯脚本访问经常被拦。本 skill 的策略：
- 优先解析页面内嵌的
__INITIAL_STATE__结构化数据 - 失败则回退到
og:元标签 - 仍失败时给出明确提示——此时可手动复制笔记正文存成
.txt，用--fallback-text继续生成统一 Markdown，或直接走analyze_hook.py拆解（拆解环节不依赖抓取）
提供 XHS_COOKIE 能显著提高采集成功率。页面结构若调整，需更新 fetch_note.py 里的选择器。
合规声明
仅供个人学习与研究使用。请遵守小红书用户协议与 robots 规则，控制请求频率，不要用于批量抓取、商用爬取或侵犯他人权益的场景。
衔接工作流
- 采集产物 →
knowledge-base-management入库（统一 frontmatter，按platform聚合） - 衍生选题 → 创作者选题流（采集 → 拆解 → 选题库 → 初稿）
- 多篇拆解 → 沉淀「爆款选题库」，对接
industry-intelligence-radar的趋势信号
参考
- 小红书爆款方法论：人群 × 场景 × 痛点 + 情绪价值
- DeepSeek — 拆解用 LLM
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How to use it
Take chubbyguan/xiaohongshu-ingest from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.
The instructions reference pip, brew.
Without those the skill loads but fails at the first command.