ai-instruction-standards

AI Instruction File Standards 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 Instruction File Standards. 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 (this)	"What to write in CLAUDE.md?"	「CLAUDE.md 該寫什麼？」
Architecture (Long-term)	/ai-friendly-architecture	"How to structure code for AI?"	「如何讓專案對 AI 友善？」

Purpose

This skill helps create and maintain AI instruction files with proper separation between universal standards and project-specific configurations.

Quick Reference

Supported AI Tools

AI Tool	Instruction File	Format
Claude Code	CLAUDE.md	Markdown
Cursor	.cursorrules	Markdown
Windsurf	.windsurfrules	Markdown
Cline	.clinerules	Markdown
GitHub Copilot	.github/copilot-instructions.md	Markdown
OpenCode	.opencode/instructions.md	Markdown

Core Principle: Universal vs Project-Specific

Type	Contains	Example
Universal	Generic rules	"Run tests before committing"
Project-Specific	Concrete commands	"Run npm test before committing"

Recommended Layout

# [Project Name] - AI Instructions

## Universal Standards
<!-- Rules applicable to ANY project -->
- Commit message format
- Code review checklist
- Testing standards
- Anti-hallucination rules

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## Project-Specific Configuration
<!-- Unique to THIS project -->

### Tech Stack
[Your technologies here]

### Quick Commands
[Your build/test/deploy commands]

### File Structure
[Your project structure]

Detailed Guidelines

For complete standards, see:

• AI Instruction File Standards

AI-Optimized Format (Token-Efficient)

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

• Base standard: ai/standards/ai-instruction-standards.ai.yaml

Content Guidelines

Universal Content (Keep Generic)

Category	Good Examples
Commit Standards	"Follow Conventional Commits format"
Code Review	"Use BLOCKING, IMPORTANT, SUGGESTION prefixes"
Testing	"Maintain 80% coverage minimum"
AI Behavior	"Always read code before analyzing"

Avoid in Universal Sections:

• Specific commands (npm test, pytest)
• Hardcoded paths (cli/src/, /var/www/)
• Version numbers (Node.js 18, Python 3.11)
• Project names and URLs

Project-Specific Content

Category	Examples
Tech Stack	Node.js 18, React 18, PostgreSQL 15
Commands	npm run lint, ./scripts/deploy.sh
File Structure	src/, cli/, tests/
Team Conventions	Traditional Chinese comments

Labeling Convention

Option A: Section Headers

## Universal Standards
[universal content]

## Project-Specific Configuration
[project-specific content]

Option B: Inline Markers

> ⚠️ **Project-Specific**: This section contains configuration unique to this project.

### Tech Stack
...

Option C: Comment Annotations

<!-- UNIVERSAL: The following applies to all projects -->
### Commit Message Format
...

<!-- PROJECT-SPECIFIC: Customize for your project -->
### Quick Commands
...

Multi-Tool Configuration

When using multiple AI tools, maintain consistency:

project/
├── CLAUDE.md              # Claude Code instructions
├── .cursorrules           # Cursor instructions (can import from CLAUDE.md)
├── .windsurfrules         # Windsurf instructions
└── .github/
    └── copilot-instructions.md  # Copilot instructions

Best Practice: Create a shared docs/ai-standards.md and reference it from each tool's file to avoid duplication.

Maintenance Checklist

Before committing changes to AI instruction files:

• Universal sections contain no project-specific paths, commands, or versions
• Project-specific sections are clearly marked
• Cross-references to standards documents are correct
• Format matches existing sections

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Configuration Detection

This skill supports project-specific configuration.

Detection Order

1. Check for existing CLAUDE.md or equivalent files
2. Analyze content structure for universal/project-specific separation
3. If not found, suggest creating structured AI instruction file

First-Time Setup

If no AI instruction file found:

1. Ask: "This project doesn't have an AI instruction file. Would you like to create one?"
2. Determine project type and tech stack
3. Generate template with appropriate sections
4. Add to .gitignore if contains sensitive info

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Next Steps Guidance | 下一步引導

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

AI 指令檔案標準已掌握。建議下一步 / AI instruction file standards understood. Suggested next steps:

• 建立或更新專案的 CLAUDE.md（或對應的 AI 指令檔案） ⭐ Recommended / 推薦 — 立即將標準應用到專案中 / Apply standards to the project immediately
• 執行 /ai-friendly-architecture 從架構層面優化 AI 協作 — 配合指令檔案提升 AI 理解力 / Enhance AI understanding alongside instruction files
• 執行 /ai-collaboration 複習 AI 行為準則 — 確保指令檔案中的規則與行為標準一致 / Ensure instruction file rules align with behavior standards

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Related Standards

• AI Instruction File Standards - Core standard
• Documentation Writing Standards - Writing guidelines
• Anti-Hallucination Guidelines - AI accuracy rules
• AI-Friendly Architecture - Context optimization

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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