Claude Code Rules & Framework

Your Claude Code AI assistant, elevated to professional standards

100% Factual Accuracy

82% Token Savings

50% Faster Response

100% Constitutional

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📑 Table of Contents

• ⚡ Quick Start
• 📦 Installation
• ✨ Features
• 📁 Rule Files
• 🖼️ Visual Guide
• 🎓 Framework Highlights
• 📊 Before & After
• 🤝 Contributing

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⚡ Quick Start

# 🚀 One-line installation - Clone and install
git clone https://github.com/DarKWinGTM/claude-code-rules.git && \
cp claude-code-rules/*.md ~/.claude/rules/

✨ That's it! Your Claude Code is now enhanced with professional rules.

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📦 Installation

🎯 Method 1: Full Installation (Recommended)

Complete setup with all rules:

# Step 1: Clone the repository
git clone https://github.com/DarKWinGTM/claude-code-rules.git
cd claude-code-rules

# Step 2: Create rules directory (if not exists)
mkdir -p ~/.claude/rules

# Step 3: Copy all rule files
cp *.md ~/.claude/rules/

# Step 4: Verify installation
ls ~/.claude/rules/

🎯 Method 2: Pick Your Rules

Install only what you need:

# Example: Install just the anti-sycophancy rule
curl -o ~/.claude/rules/anti-sycophancy.md \
  https://raw.githubusercontent.com/DarKWinGTM/claude-code-rules/master/anti-sycophancy.md

🎯 Method 3: Project-Specific

Add rules to a single project:

# In your project directory
mkdir -p .claude/rules
cp /path/to/claude-code-rules/*.md .claude/rules/

📍 Installation Paths

Location	Scope	Path	Use Case
Global	All projects	~/.claude/rules/*.md	Default recommendation
Project	Current project only	./.claude/rules/*.md	Project-specific needs

📂 Design Documentation Structure

Location	Purpose	File Type
./design/*.design.md	Design specifications	Design docs
*.md (root)	Working rules	Rules files
./changelog/*.md	Version history	Changelogs

💡 Single Source of Truth Principle:

• Design files (.design.md) contain Version History sections
• Rules files rely on Git for history tracking
• One authoritative source per document type

✅ Verify Installation

# Check if rules are loaded
claude --version
cat ~/.claude/rules/anti-sycophancy.md | head -20

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✨ Features

🎯 Core Capabilities

🔍 Zero Hallucination 100% verified information only Evidence-based responses No guessing or assumptions Source citations always included	🛡️ Anti-Sycophancy Truth over agreement Direct corrections when needed No false praise Honest feedback, always
🔒 Security First Real systems over simulations No mock implementations by default Verified configurations only Production-ready patterns	⚡ Performance Optimized 30-50% faster responses 40-82% token reduction Adaptive complexity (TRAAC) Cost-efficient operations

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📁 Rule Files

🔴 Core Policies (3 rules)

Fundamental principles that govern all AI behavior

Rule	Purpose	Key Benefit
anti-mockup.md	Real systems over simulations	No fake implementations
anti-sycophancy.md	Truth over agreement	Honest feedback always
zero-hallucination.md	Verified information only	100% accuracy

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🟡 Quality & Safety (9 rules)

Ensure consistent, safe, and well-documented outputs

Rule	Purpose	Key Benefit
authority-and-scope.md	Decision hierarchy	User authority respected
document-consistency.md	Cross-reference validation	No contradictions
document-changelog-control.md	Version tracking system	Single Source of Truth
document-design-control.md	Design document standards	Standardized structure
emergency-protocol.md	Crisis response	Fast, safe reactions
functional-intent-verification.md	Intent validation	Commands verified before run
strict-file-hygiene.md	File hygiene	No unrequested docs
project-documentation-standards.md	Project documentation standards	Standardized docs for all projects

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🟢 Best Practices (4 rules)

Optimize your daily workflow efficiency

Rule	Purpose	Key Benefit
flow-diagram-no-frame.md	Clean ASCII diagrams	Better readability
no-variable-guessing.md	Read before reference	No wrong assumptions
safe-file-reading.md	Plan-before-read	Efficient file handling
safe-terminal-output.md	Output management	No terminal flooding

📊 Total: 16 Rules = Complete Professional Framework

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🖼️ Visual Guide

🔴 Core Policies Visual

Anti-Sycophancy Truth over pleasing

Anti-Mockup Real systems only

Zero Hallucination Verified info only

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🟡 Quality & Safety Visual

Authority & Scope User authority supreme	Emergency Protocol Rapid response	Document Consistency Cross-reference check	Functional Intent Intent validation
Document Changelog Control Version tracking system	Document Design Control Design standards	Strict File Hygiene No unrequested docs	Project Documentation Standards Standardized docs

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🟢 Best Practices Visual

Flow Diagram No frames, clean arrows

No Guessing Read before reference

Safe File Reading Plan before read

Safe Terminal Output management

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🎓 Framework Highlights

🧠 TRAAC (Task Runtime Adaptive AI Compression)

Dynamic complexity adjustment based on task requirements

Simple Tasks (Level 0-2)     → Minimal Processing
     ↓
Standard Tasks (Level 3-5)   → Balanced Approach
     ↓
Complex Tasks (Level 6-7)    → Deep Analysis

Metric	Improvement	Impact
Response Speed	+30-50%	Faster answers
Token Efficiency	+40-82%	Lower costs
Cost Reduction	-25-35%	Budget-friendly

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👥 TUMIX Multi-Agent System

Three expert perspectives analyzing every complex problem

Developer  ──┐
Security   ──┼──→ Unified Recommendation
Architect  ──┘

How It Works:

1. Developer Agent → Technical feasibility analysis
2. Security Agent → Security & privacy evaluation
3. Architect Agent → System design considerations
4. Synthesis → All perspectives merge into unified recommendation

Result: Comprehensive analysis from multiple angles

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📚 RoT (Retrieval of Thoughts)

Cache and reuse verified reasoning patterns

Action	Benefit
Cache verified patterns	Store successful approaches
Reuse for similar tasks	40% speed improvement
Validate before use	Ensure accuracy maintained

Performance: 82% cache hit rate for recurring patterns

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📊 Before & After

❌ Without Rules

User: "Set up database connection"
       ↓
AI: "Here's the connection string:
     DATABASE_URL=postgres://localhost:5432/mydb"

Result: ❌ Guessed values
        ❌ No verification
        ❌ Potentially wrong
        ❌ User frustrated

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✅ With Rules

User: "Set up database connection"
       ↓
AI: "Let me check your .env file first..."
     [Reading configuration...]
     "Found your existing config:
      DATABASE_URL=postgres://prod-server:5432/app_db

      Should I use this, or do you want to change it?"

Result: ✅ Verified from actual files
        ✅ No guessing
        ✅ User confirmation
        ✅ Professional interaction

The difference? Professional AI behavior that respects your existing configuration.

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📊 Performance Metrics

Metric	Target	Status	Impact
Factual Accuracy	100%	✅	Zero hallucinations
Constitutional Compliance	100%	✅	User sovereignty maintained
Token Efficiency	+40-82%	✅	Cost reduction
Response Speed	+30-50%	✅	Faster delivery
User Sovereignty	Absolute	✅	User always in control

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🔒 Safety Guarantees

✅ Our Commitment to You

Guarantee	Description
No Mock/Stub	Real implementations unless explicitly requested
No Guessing	Always verify from actual sources
No Hallucinations	100% fact-based responses
No Sycophancy	Truth over agreement, always
Constitutional	Principles override everything

Your safety and accuracy are non-negotiable.

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🤝 Contributing

These rules evolve based on real-world usage:

• 🔄 Real-world usage patterns → What actually works
• 💬 User feedback → Your experience matters
• 🔐 Safety considerations → Always improving
• ⚡ Performance optimization → Getting faster

📝 Contribution Guidelines

Pull requests welcome! Please ensure:

1. New rules follow existing format
2. Include clear documentation
3. Add visual assets if applicable
4. Update changelog

We value: Quality over quantity, clarity over complexity

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📜 License

MIT License - Feel free to adapt for your own use case.

Attribution appreciated but not required.

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🙏 Acknowledgments

Personal rule set and configuration framework for Claude Code CLI.

Inspired by:

• Constitutional AI principles (Anthropic)
• Best practices for AI assistant development
• Real-world production experience
• Community feedback and contributions

Built with ❤️ for the Claude Code community

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Version: 2.0.0 | Last Updated: 2026-01-21 | Framework: Sophisticated AI Framework with Constitutional Governance

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_{Made with 💙 by developers who care about AI quality}