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2026_DesignAI/CLAUDE.md
T
pengxiao 219232de74 refactor: 重组项目目录结构
以讲义内容为骨架迁移到标准目录格式:
- officefile/ 主内容(12章 + 附录 + CC4SI补充)
- dofile/ 代码示例(11个Python脚本)
- data/ 图片资源
- output/ 生成输出(忽略)
- Archive/ 归档旧目录(忽略)
- .claude/skills/ 保留markdown-to-docx工具链
- .pandoc/ 保留CSL和本地化配置

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-05-25 14:00:56 +08:00

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5.5 KiB
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# CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
## Project Overview
This is **设计人工智能:基础与应用** — a textbook project for design AI education. The book covers AI fundamentals (principles, perception, generation, agents) and their applications across design domains (digital media, industrial design, environmental design, urban planning).
A supplementary volume, **CC4SI (Claude Code for Spatial Intelligence)**, is preserved in `officefile/supplements/` and focuses on spatial intelligence and autonomous design using Claude Code.
**Key Characteristics:**
- Educational content organized as a book with 12 chapters + 9 appendices
- Mixed Chinese/English documentation and code
- Git-based workflow with Obsidian integration for content editing
- Pandoc-based export to Word (DOCX) with publisher template
- Standard research project directory structure
## Directory Structure
```
2026_DesignAI/
├── data/ # Data and resources
│ ├── pics/ # Book illustrations
│ └── references/ # Bibliography data
├── dofile/ # Code and scripts
│ └── examples/ # Python code examples
│ ├── 00-introduction/ # Setup first assistant
│ ├── 01-foundations/ # State machines, modularity, etc.
│ └── 02-spatial-intelligence/ # Spatial analysis examples
├── officefile/ # Main book content
│ ├── 00-frontmatter/ # 自序 (Preface), 目录 (TOC)
│ ├── 01-introduction/ # Ch1: AI development history
│ ├── 02-framework/ # Ch2: AI theoretical framework
│ ├── 03-1d-sequence/ # Ch3: Sequence & text (RNN→LLM)
│ ├── 04-2d-vision/ # Ch4: Images & vision (CNN)
│ ├── 05-3d-spatial/ # Ch5: Spatial & 3D (PointNet)
│ ├── 06-reinforcement/ # Ch6: Reinforcement learning
│ ├── 07-generative-ai/ # Ch7: Generative AI (Diffusion)
│ ├── 08-agent/ # Ch8: AI Agent
│ ├── 09-digital-media/ # Ch9: Digital media design
│ ├── 10-industrial-design/ # Ch10: Industrial design
│ ├── 11-environmental-landscape/ # Ch11: Environmental & landscape
│ ├── 12-urban-ecology/ # Ch12: Urban & ecological planning
│ ├── appendix/ # Appendices 1-9
│ └── supplements/ # CC4SI supplementary material
│ ├── 00-05/ # Spatial intelligence chapters
│ └── appendix/ # Academic writing workflow
├── output/ # Generated outputs
│ └── docx/ # Word exports
├── Archive/ # Archived original directories
├── .claude/skills/markdown-to-docx/ # DOCX conversion skill
├── .pandoc/ # Pandoc config (CSL, Zotero JSON)
└── .obsidian/ # Obsidian vault configuration
```
## Book Structure
### Upper Volume: Principles & Technology
| Chapter | Topic | Lines | Status |
|---------|-------|-------|--------|
| 01 | AI development history & paradigm evolution | 367 | Complete |
| 02 | Theoretical framework (functional perspective, MLP) | 897 | Complete |
| 03 | 1D data: Sequence & text (RNN → LLM) | 1595 | Complete |
| 04 | 2D data: Images & vision (CNN → ViT) | 867 | Complete |
| 05 | 3D data: Spatial & 3D (PointNet → Spatial AI) | 1421 | Complete |
| 06 | Reinforcement learning (Q-Learning → RLHF) | 896 | Complete |
| 07 | Generative AI (VAE/GAN → Diffusion) | 496 | Complete |
| 08 | AI Agent (rules → LLM Agent) | 581 | Complete |
### Lower Volume: Design Applications
| Chapter | Topic | Lines | Status |
|---------|-------|-------|--------|
| 09 | Digital media design | 161 | Thin |
| 10 | Industrial & product design | 145 | Thin |
| 11 | Environmental & landscape design | 153 | Thin |
| 12 | Urban & ecological planning | 317 | Moderate |
### Appendices
9 appendices covering programming basics, Vibe Coding, academic writing, web tools, references, glossary, and tips.
## Working with This Repository
### For Content Editing
- Edit `.md` files in `officefile/` — they are the book source
- Use Obsidian for rich editing (vault at project root)
- Git commits follow conventional format: `docs(ch01): description`
### For DOCX Export
- Use the `markdown-to-docx` skill in `.claude/skills/`
- Publisher template: `machinery-industry-press-writing-template.dotx`
- Output goes to `output/docx/`
### For Python Examples
- Examples in `dofile/examples/` are self-contained
- Run directly: `python dofile/examples/01-foundations/state_machine.py`
- No global test suite — verify examples individually
## Language Considerations
- **Documentation**: Primarily Chinese with English technical terms
- **Code**: Variable names and comments in English
- **File names**: Mix of Chinese and English — use proper encoding
## Commit Convention
```
<type>(<scope>): <subject>
Types: feat, fix, docs, style, refactor, chore
Scopes: ch01-ch12, appendix, supplements, examples
Examples:
- docs(ch03): 补充 Transformer 注意力机制详解
- feat(examples): 新增空间推理示例
- fix(ch05): 修正 PointNet 结构描述
```