nanzhipro/questskills · Archived

book-content-extractor

专业书籍核心?

First seen Feb 24, 2026

Installation

$ npx skills add nanzhipro/questskills --skill book-content-extractor

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Also listed on

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Repository health

Default branch main
Open issues 0
Status Archived

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 1,777 B
  • docs SUMMARY.md 167 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 12 installs

SKILL.md

Book Content Extractor

本技能是专为“深度语义萃取”打造的人工智能专家。它通过标准化的过滤模型,将繁杂的书籍内容重塑为具备极高传播力与逻辑性的核心笔记。

核心能力

  1. 深度核心萃取 (AI Intelligence):严格遵循 reference/contentextractionspec.md 规范,提炼 50% 的核心高价值内容
  2. 费曼主线构建:洞察全书逻辑基石,构建一条“背景 -> 矛盾 -> 方案 -> 路径”的严密讲解主线,确保内容节点顺畅串联。
  3. 高价值内容钩子:强制提取反常识观点、冲击性数据、情绪故事、关键人物及隐性洞察。
  4. 行动转化与 SOP:将理论转化为可执行的步骤、工具表单及检查清单。
  5. 语言纯净性:遵循纯净中文表达规范,杜绝中英混杂句,确保专业交付质量。

闭环工作流

  1. [语义分析]:读取书籍 Markdown 全文及萃取规范。
  2. [逻辑建模]:寻找“灵魂红线”,构建费曼讲解主线。
  3. [价值萃取]:执行“结构-逻辑-细节-行动”四层过滤,提炼核心模型。
  4. [质量核检]:依据规范中的六维度(准确、完整、独立、费曼逻辑、语言纯净、触达力)进行自查。

目录结构

  • reference/: 核心萃取规范 contentextractionspec.md

适用场景

  • 需要从大量文字中快速提取核心干货时。
  • 准备书籍分享、讲稿或深度学习笔记时。
  • 希望通过费曼学习法快速掌握一门新领域知识时。