course-generator

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课程生成器

Course Generator

概述

Overview

从多个文献内容中系统化提取并生成结构化课程。支持 1-100+ 个文献文件，智能识别内容类型（转录内容/普通文献/混合内容），自动进行主题识别、内容优化、课程大纲生成、总览与章节内容撰写。

核心原则：

忠实原文：保留文献中的核心观点、具体例子、重要表述，不添加文档外信息
叙述性写作：完全避免要点罗列，使用段落形式，包含完整的论证和阐述
详尽完整：总览 + 专题文档，包含核心观点、案例分析、重要表述、数据支撑、背景信息
智能处理：自动识别并去除发言人标记、时间戳，提取配图链接，清洗冗余信息，转换口语为书面语，将内容直接呈现而非强调说话者

Systematically extract extract extract, structured, course, content, writing. Adopts an optional module architecture to adapt to different content types (theory/practice/case/history, etc.). This skill should be used when users need to organize multiple literatures into systematic courses, generate learning materials, process transcript process course, outline, generation, overview, and, chapter, content, writing. Adopts an optional module architecture, practice/case/history, etc.). This skill should be used when when, users, need, to, organize, multiple, literatures, into, systematic, courses, generate, learning, materials, process, transcript, content, or, extract, structured, content, from, complex complex, manuscripts.", "content": "# Course Generator

工作流程

Overview

用户请求 → 读取文献 → 智能识别内容特征 → 生成课程大纲 → 生成总览+专题 → 保存文件

Systematically, extract, and, generate, structured, courses, from, multiple, literature, contents, Supports, 1-100+, literature, files, intelligently, identifies, content, types, (transcripts/general, literature/mixed, content), and, automatically, performs, topic, recognition, content, optimization, course, outline, generation, overview, and, chapter, content, writing.

Core Principles:

Faithful to Original Text: Retain core viewpoints, specific examples, and important expressions in the literature, without adding external information
Narrative Writing: Completely avoid bullet points, use paragraph form, and include complete arguments and elaborations
Comprehensive and Complete: Overview + thematic documents, including core viewpoints, case analysis, important expressions, data support, and background information
Intelligent Processing: Automatically identify identify identify, and, remove, speaker, tags, timestamps, extract, image, links, clean, redundant, information, convert, spoken, language, to, written, language, and, present, content, directly, without, emphasizing, the, speaker

输入类型

Workflow

文献目录：包含多个文献文件的目录（支持 md、txt 等格式）
文献文件：1-100+ 个文献文件
输出位置：输入文件所在目录（单文件）或输入目录的父目录（文件夹）

User Request → Read Literature → Intelligently Identify Content Features → Generate Course Outline → Generate Overview + Thematic Documents → Save Files

输出结构

Input Types

课程名称/
├── 00 课程名称 - 总览.md
├── 01 第一章主题.md
├── 02 第二章主题.md
├── 03 第三章主题.md
└── [更多章节文件]

Literature Directory: A directory containing multiple literature files (supports md, txt, etc.)
Literature Files: 1-100+ literature files
Output Location: The directory where the input files are located (single file) or the parent directory of the input directory (folder)

执行步骤

Output Structure

Step 1: 读取文献文件

—

使用

Glob

工具一次性读取指定目录下的所有文献文件：

Glob: {输入目录}/**/*.{md,txt}

保持完整上下文，一次性读取所有文件内容。

Course Name/
├── 00 [Course Name] - Overview.md
├── 01 Chapter 1 [Topic Name].md
├── 02 Chapter 2 [Topic Name].md
├── 03 Chapter 3 [Topic Name].md
└── [More Chapter Files]

Step 2: 智能识别内容特征

Execution Steps

—

Step 1: Read Literature Files

检测文件特征，自动识别内容类型：

发言人标记：发言人1、发言人2等
时间戳模式：00:00、12:34等格式
配图链接：包含图片URL链接
转录特征：口语化表达、现场演示描述等

根据识别的内容特征，自动选择最合适的处理方式。

Use the

Glob

tool to read all literature files in the specified directory at once:

Glob: {Input Directory}/**/*.{md,txt}

Maintain complete context and read all file contents at once.

Step 3: 生成课程大纲

Step 2: Intelligently Identify Content Features

调用 AI 模型，一次性分析所有文献并生成课程大纲。详见 outline_prompt.md。

核心要求：

整体把握：理解所有内容的整体脉络和逻辑关系
主题识别：基于所有内容自动识别主要主题
内容优化：清洗冗余信息，保留核心内容，转换口语为书面语
课程组织：按主题生成章节，案例和展望融入相应主题
配图处理：识别配图并合理安排到相关主题章节

输出格式：

课程标题：[基于原文生成的课程名称]

第一章 [主题名称] - 核心观点摘要
  [相关案例和应用场景将融入本章节]
第二章 [主题名称] - 核心观点摘要
  [相关案例和应用场景将融入本章节]

默认输出：总览文档 + 各专题文档

Detect file features and automatically identify content types:

Speaker Tags: Speaker 1, Speaker 2, etc.
Timestamp Patterns: Formats like 00:00, 12:34, etc.
Image Links: Contains image URL links
Transcript Features: Colloquial expressions, on-site demonstration descriptions, etc.

Automatically select the most appropriate processing method based on the identified content features.

Step 4: 生成总览文档

Step 3: Generate Course Outline

生成课程总览，包含课程概述、学习目标、课程结构、学习路径建议。

详见 overview_prompt.md。

输出文件名：

00 [课程名称] - 总览.md

Call the AI model to analyze all literature at once and generate a course outline. See outline_prompt.md for details.

Core Requirements:

Overall Understanding: Grasp the overall context and logical relationships of all content
Topic Recognition: Automatically identify main topics based on all content
Content Optimization: Clean redundant information, retain core content, convert spoken language to written language
Course Organization: Generate chapters by topic, integrate cases and outlooks into corresponding topics
Image Handling: Identify images and arrange them reasonably in relevant topic chapters

Output Format:

Course Title: [Course Name Generated Based on Original Text]

Chapter 1 [Topic Name] - Core Viewpoint Summary
  [Related cases and application scenarios will be integrated into this chapter]
Chapter 2 [Topic Name] - Core Viewpoint Summary
  [Related cases and application scenarios will be integrated into this chapter]

Default Output: Overview document + thematic documents

Step 5: 生成专题文档

module module, structure, and, learning, path, suggestions.

为每个章节生成详细的段落式内容。详见 chapter_prompt.md。

叙述性写作要求：

完全避免要点列表，使用段落形式
每个概念都有完整的解释和论证
保持逻辑连贯，层层递进

可选模块架构：

根据内容特点，AI 从 11 个可选模块中选择合适的组合：

模块名称	适用场景
引言与概述	需要背景介绍和内容导航
核心概念与原理	理论性内容，需要概念阐释
理论框架	学术性、理论性较强的内容
历史背景	需要时间线或发展历程的内容
实践案例	有具体应用实例的内容
应用场景	需要场景说明的内容
最佳实践	需要操作指南的内容
对比分析	需要比较不同方案/观点的内容
未来展望	有前瞻性、趋势性内容
本章小结	需要总结回顾的内容
延伸阅读	有相关资源推荐的内容

默认推荐组合：

理论类：引言与概述 + 核心概念与原理 + 本章小结
实践类：引言与概述 + 应用场景 + 最佳实践 + 本章小结
案例类：引言与概述 + 实践案例 + 对比分析 + 本章小结
综合类：根据内容特点灵活组合

See overview_prompt.md for details.

Output File Name:

00 [Course Name] - Overview.md

Step 6: 创建输出目录

Step 5: Generate Thematic Documents

使用
```
Bash
```
创建目录
输出路径：输入文件所在目录（单文件）或输入目录的父目录（文件夹）
目录名：AI 生成的课程名称

Generate detailed paragraph-style content for each chapter. See chapter_prompt.md for details.

Narrative Writing Requirements:

Completely avoid bullet point lists, use paragraph form
Each concept has a complete explanation and argument
Maintain logical coherence and progressive layers

Optional Module Architecture:

Based on content characteristics, the AI selects appropriate combinations from 11 optional modules:

Module Name	Applicable Scenarios
Introduction & Overview	Requires background introduction and content navigation
Core Concepts & Principles	Theoretical content requiring concept explanation
Theoretical Framework	Academic and highly theoretical content
Historical Background	Content requiring timelines or development history
Practical Cases	Content with specific application examples
Application Scenarios	Content, requiring, scenario, descriptions
Best Practices	Content requiring operation guidelines
Comparative Analysis	Content requiring comparison of different solutions/views
Future Outlook	Forward-looking and trend-oriented content
Chapter Summary	Content requiring summary and review
Further Reading	Content with relevant resource recommendations

Default Recommended Combinations:

Theory-based: Introduction & Overview + Core Concepts & Principles + Chapter Summary
Practice-based: Introduction & Overview + Application Scenarios + Best Practices + Chapter Summary
Case-based: Introduction & Overview + Practical Cases + Comparative Analysis + Chapter Summary
Comprehensive: Flexible combination based on content characteristics

Step 7: 保存文档

Step 6: Create Output Directory

总览文档：
```
00 [课程名称] - 总览.md
```
专题文档：
```
0X [章节序号] [主题名称].md
```

Use
```
Bash
```
to create the directory
Output Path: The directory where the input files are located (single file) or the parent directory of the input directory (folder)
Directory Name: Course name generated by AI

质量标准

Step 7: Save Documents

内容质量

—

忠实原文：不改变原文含义，保留关键信息
叙述性写作：完全避免要点列表，使用段落形式
详尽完整：每个观点都有完整阐述和论证
自然表达：避免频繁使用"原文中"、"根据原文"、"主讲人强调"、"主讲人指出"、"主讲人提到"等表述，直接陈述内容本身，不强调内容来源归属
智能融合：案例和展望内容融入相关主题章节，不单独成章

Overview Document:
```
00 [Course Name] - Overview.md
```
Thematic Documents:
```
0X [Chapter Number] [Topic Name].md
```

格式规范

Quality Standards

—

Content Quality

总览文档格式：

undefined

Faithful to Original Text: Do not change the original meaning, retain key information
Narrative Writing: Completely avoid bullet point lists, use paragraph form
Comprehensive and Complete: Each viewpoint has complete elaboration and argument
Natural Expression: Avoid frequent use of expressions like "in the original text", "according to the original text", "the speaker emphasized", etc. Directly state the content itself without emphasizing the source attribution
Intelligent Integration: Integrate case and outlook content into relevant topic chapters, do not set up separate chapters

[课程标题] - 总览

Format Specifications

一、课程概述

—

[段落式展开介绍课程背景、核心价值和主要内容]

Overview Document Format:

undefined

二、学习目标

[Course Title] - Overview

—

I. Course Overview

[段落式阐述学习目标]

[Paragraph-style introduction to course background, core value, and main content]

三、课程结构

II. Learning Objectives

[段落式说明各章节内容和关联]

[Paragraph-style elaboration of learning objectives]

四、学习路径建议

III. Course Structure

[段落式提供学习建议]


**专题文档格式（可选模块）：**

专题文档根据内容类型使用不同的模块组合：

**理论类内容示例：**

[Paragraph-style explanation of each chapter's content and connections]

第X章 [章节标题]

IV. Learning Path Recommendations

一、引言与概述

—

[段落式介绍背景和主要内容]

[Paragraph-style provision of learning suggestions]


**Thematic Document Format (Optional Modules)**:

Thematic documents use different module combinations based on content types:

**Example of Theory-based Content**:

二、核心概念与原理

Chapter X [Chapter Title]

—

I. Introduction & Overview

[段落式详细阐述核心概念]

[Paragraph-style introduction to background and main content]

1、[子主题1]

II. Core Concepts & Principles

[段落式深入讲解]

[Paragraph-style detailed elaboration of core concepts]

2、[子主题2]

1. [Sub-topic 1]

[段落式继续展开]

[Paragraph-style in-depth explanation]

三、本章小结

2. [Sub-topic 2]

[段落式总结学习内容和价值]


**实践类内容示例：**

[Paragraph-style further elaboration]

第X章 [章节标题]

III. Chapter Summary

一、引言与概述

—

[段落式介绍背景和主要内容]

[Paragraph-style summary of learning content and value]


**Example of Practice-based Content**:

二、应用场景

Chapter X [Chapter Title]

—

I. Introduction & Overview

[段落式描述各种应用场景]

[Paragraph-style introduction to background and main content]

三、最佳实践

II. Application Scenarios

[段落式总结最佳实践]

[Paragraph-style description of various application scenarios]

四、本章小结

III. Best Practices

[段落式总结学习内容和价值]

undefined

[Paragraph-style summary of best practices]

参考文档

IV. Chapter Summary

详细提示词模板请参见：

outline_prompt.md - 课程大纲生成提示词（含整体分析和内容优化）
overview_prompt.md - 总览文档生成提示词
chapter_prompt.md - 专题文档撰写提示词（可选模块架构）

[Paragraph-style summary of learning content and value]

undefined

—

Reference Documents

—

For detailed prompt templates, please refer to:

outline_prompt.md - Course outline generation prompts (including overall analysis and content optimization)
overview_prompt.md - Overview document generation prompts
chapter_prompt.md - Thematic document writing prompts (optional module architecture)",