ai-friendly-architecture

AI-Friendly Architecture Guide

Language: English | 繁體中文

Version: 1.0.0 Last Updated: 2026-01-25 Applicability: Claude Code Skills

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Core Standard: This skill implements AI-Friendly Architecture. For comprehensive methodology documentation, refer to the core standard.

AI Skills Hierarchy | AI 技能層級

This skill is part of a three-layer AI collaboration system:

Layer	Skill	Question it Answers	回答的問題
Behavior (Immediate)	/ai-collaboration	"How should AI respond accurately?"	「AI 如何準確回應？」
Configuration (Session)	/ai-instruction-standards	"What to write in CLAUDE.md?"	「CLAUDE.md 該寫什麼？」
Architecture (Long-term)	/ai-friendly-architecture (this)	"How to structure code for AI?"	「如何讓專案對 AI 友善？」

Purpose

This skill helps design project architecture that maximizes AI collaboration effectiveness through explicit patterns, layered documentation, and semantic boundaries.

Quick Reference

Core Principles

Principle	Description	Benefit
Explicit Over Implicit	Document behavior explicitly	AI understands without guessing
Layered Context	Multi-level documentation	Appropriate detail per task
Semantic Boundaries	Clear module boundaries	Independent analysis
Discoverable Structure	Self-documenting structure	Quick orientation

Context Layers

Layer	Token Budget	Content
L1: Quick Ref	< 500	One-liners, API signatures, entry points
L2: Detailed	< 5,000	Full API docs, usage examples
L3: Examples	Unlimited	Complete implementations, edge cases

Recommended Structure

project/
├── .ai-context.yaml          # AI context configuration
├── docs/
│   ├── QUICK-REF.md          # Level 1 documentation
│   └── ARCHITECTURE.md       # Level 2 documentation
├── src/
│   └── auth/
│       ├── index.ts          # Entry point with module header
│       ├── QUICK-REF.md      # Module quick reference
│       └── README.md         # Module documentation
└── CLAUDE.md                 # AI instruction file

Module Header Template

/**
 * ═══════════════════════════════════════════════════════════
 * MODULE: [Module Name]
 * ═══════════════════════════════════════════════════════════
 *
 * PURPOSE: [One-sentence description]
 *
 * DEPENDENCIES:
 *   - [dep1]: [reason]
 *   - [dep2]: [reason]
 *
 * EXPORTS:
 *   - [function1](params): [description]
 *   - [function2](params): [description]
 *
 * CONFIGURATION:
 *   - [CONFIG_VAR]: [description]
 *
 * ═══════════════════════════════════════════════════════════
 */

Detailed Guidelines

For complete standards, see:

• AI-Friendly Architecture Standards

AI-Optimized Format (Token-Efficient)

For AI assistants, use the YAML format file for reduced token usage:

• Base standard: ai/standards/ai-friendly-architecture.ai.yaml

.ai-context.yaml Configuration

# .ai-context.yaml - AI Context Configuration
version: 1.0.0

project:
  name: my-project
  type: web-app  # web-app | library | cli | api | monorepo
  primary-language: typescript

modules:
  - name: auth
    path: src/auth/
    entry: index.ts
    description: Authentication and authorization
    dependencies: [database, crypto]
    priority: high

  - name: api
    path: src/api/
    entry: routes.ts
    description: REST API endpoints
    dependencies: [auth, database]
    priority: high

analysis-hints:
  entry-points:
    - src/main.ts
    - src/index.ts
  ignore-patterns:
    - node_modules
    - dist
    - "*.test.ts"
  architecture-type: layered

documentation:
  quick-ref: docs/QUICK-REF.md
  detailed: docs/ARCHITECTURE.md
  examples: docs/examples/

Context Priority Guidelines

Priority	Content Type	Reason
1	Entry points	Application structure
2	.ai-context.yaml	Module map and dependencies
3	QUICK-REF files	Rapid API understanding
4	Modified files	Direct task relevance
5	Dependency chain	Context for changes

Anti-Patterns to Avoid

Anti-Pattern	Problem	Solution
Magic strings	AI can't trace constants	Typed constants with docs
Implicit routing	Hidden behavior	Explicit route mappings
Global state	Unpredictable deps	Dependency injection
Circular deps	Context confusion	Hierarchical dependencies
Monolithic files	Context overflow	Focused modules

Implementation Checklist

Quick Start (< 1 hour)

• Create .ai-context.yaml with module list
• Add QUICK-REF.md to project root
• Document entry points in README
• Add module headers to main files

Standard Implementation (< 1 day)

• Complete .ai-context.yaml configuration
• Add QUICK-REF.md to each major module
• Document all public APIs with type info
• Add section dividers to large files

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Configuration Detection

This skill supports project-specific configuration.

Detection Order

1. Check for existing .ai-context.yaml
2. Check for QUICK-REF.md files
3. If not found, suggest creating AI-friendly structure

First-Time Setup

If no configuration found:

1. Suggest: "This project hasn't been configured for AI collaboration. Would you like to set up an AI-friendly structure?"
2. Create .ai-context.yaml template
3. Create QUICK-REF.md in project root

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Next Steps Guidance | 下一步引導

After /ai-friendly-architecture completes, the AI assistant should suggest:

AI 友善架構指南已掌握。建議下一步 / AI-friendly architecture guide understood. Suggested next steps:

• 執行 /sdd 將 AI 友善架構設計納入正式規格 ⭐ Recommended / 推薦 — 確保架構決策有規格追蹤 / Ensure architecture decisions are tracked in specs
• 建立 .ai-context.yaml 和 QUICK-REF.md — 立即實作 AI 友善結構 / Implement AI-friendly structure immediately
• 執行 /ai-instructions 更新 CLAUDE.md 以反映架構配置 — 讓 AI 指令檔案與架構保持同步 / Keep AI instruction files in sync with architecture

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Related Standards

• AI-Friendly Architecture - Core architecture standard
• Project Structure - Directory organization
• Documentation Structure - Documentation layering
• Anti-Hallucination - AI accuracy standards

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Version History

Version	Date	Changes
1.0.0	2026-01-25	Initial release

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License

This skill is released under CC BY 4.0.

Source: universal-dev-standards