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content-enrich

内容加工：给任意采集产物（转录稿 / 文章 / 笔记）自动补「摘要 + 要点 + 标签 + 价值判断」， 写进 frontmatter 并在正文顶部插入摘要块。是「加工层」通用能力，惠及仓库所有采集 skill。

AI 与智能体1.2kcontent-enrich/SKILL.md

安装

把这段话发给 Claude Code、Codex 或 Cursor。智能体会先检查安全性，你确认后才安装。

读取 https://funcoding.ai/skills/chubbyguan/chubbyskills/content-enrich/install.md ，按里面的步骤帮我安装这个 Skill。

SKILL.md

内容加工（Content Enrich）

采集进来的转录稿、文章往往是大段原始文本，没人愿意回头看。这个 skill 给任意采集产物 自动补上可快速消化的元信息——它是「加工层」的通用能力，配合仓库里所有采集 skill 使用。

环境要求

# 零 pip 依赖（仅 Python 标准库）
export DEEPSEEK_API_KEY="your-api-key"   # 必需，用于提炼

使用方法

python scripts/enrich.py 某篇笔记.md              # 就地增强单篇
python scripts/enrich.py ./vault/外部输入/         # 批量增强整个目录下的 .md
python scripts/enrich.py 某篇.md --output ./out    # 不改原文件，输出到 out/
python scripts/enrich.py 某篇.md --force           # 已加工过的重新加工

产出

在原 Markdown 上（原内容完整保留）：

  • frontmatter 注入：summary（一句话总结）、domain（领域）、auto_tags（标签列表）、enriched: true
  • 正文顶部插入 ## 📝 摘要 区块：一句话 TL;DR、3-5 条要点、「值得深读？」判断、标签

幂等：默认跳过已加工（enriched: true）的文件，可 --force 重做。

为什么有用

  • 盘活采集产物：转录稿 / 文章一眼能看懂讲了啥、值不值得深读
  • 便于知识库聚合：auto_tags / domain 进 frontmatter，Obsidian Dataview 可直接按标签 / 领域聚合
  • 一处投入，惠及全部：抖音 / B站 / 小红书 / X / 公众号 …… 任何采集产物都能加工

衔接工作流

采集（任意 *-ingest / *-transcribe skill）
  → content-enrich（补摘要 + 要点 + 标签）
  → knowledge-base-management 入库（按 auto_tags / domain 聚合检索）

参考

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