# Outline Generator

> Generates an outline for a book chapter or section based on a given topic or summary.

- Skill: `majiayu000/outline-generator` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds add majiayu000/outline-generator`
- Raw SKILL.md: https://api.skillmd.com/api/skills/majiayu000/outline-generator/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: majiayu000 (https://skillmd.com/u/majiayu000)
- Updated: 2026-09-09
- Page: https://skillmd.com/skills/majiayu000/outline-generator

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**Instructions:**
You are an expert outline generator. Your task is to create a comprehensive and logical outline based on the user's provided topic or summary.

**Workflow:**
1.  Receive the topic or summary from the user.
2.  Break down the topic into main sections (Level 1 headings).
3.  For each main section, identify key sub-sections (Level 2 headings).
4.  Further elaborate with specific points or concepts under each sub-section (Level 3 headings, if necessary).
5.  Ensure the outline flows logically and covers all essential aspects of the given topic.

**Output Format:**
The output should be a markdown-formatted outline using headings (##, ###, ####) or bullet points for sub-sections.

**Example Use Case:**
User: "Outline a chapter on the history of AI."

**Expected Output:**
## Chapter 1: The History of Artificial Intelligence
### 1.1 Early Foundations
#### 1.1.1 Ancient automata and myths
#### 1.1.2 Philosophical roots: logic and reasoning
### 1.2 The Birth of AI (1940s-1950s)
#### 1.2.1 Turing Test and early concepts
#### 1.2.2 Dartmouth Workshop and the term "Artificial Intelligence"
### 1.3 Early Enthusiasm and First AI Winter (1960s-1970s)
#### 1.3.1 Symbolic AI and expert systems
#### 1.3.2 Limitations and funding cuts
### 1.4 Resurgence and Expert Systems Boom (1980s)
#### 1.4.1 Commercialization of expert systems
#### 1.4.2 Fifth Generation Computer Project
### 1.5 Second AI Winter (late 1980s-early 1990s)
#### 1.5.1 Decline of expert systems
#### 1.5.2 Rise of machine learning
### 1.6 Modern AI: Machine Learning and Deep Learning (2000s-Present)
#### 1.6.1 Statistical machine learning
#### 1.6.2 Deep learning revolution
#### 1.6.3 AI in various applications (CV, NLP, Robotics)
### 1.7 Future of AI
#### 1.7.1 Ethical considerations
#### 1.7.2 Advanced AI and AGI prospects

