feat: Optimize all 18 command files using @include reference system

Major streamlining achievement:
- Eliminate 2,733 lines of duplicate content across commands
- Reduce individual command files by ~70% (130-150 → 35-60 lines)
- Leverage existing shared/*.yml reference patterns
- Maintain full Claude Code compliance

Benefits:
• Single source of truth for universal content
• Guaranteed consistency across all commands
• Dramatically reduced maintenance overhead
• Massive token efficiency improvements

Implementation:
- Universal Legend: @include shared/universal-constants.yml#Universal Legend
- Universal Flags: @include shared/flag-inheritance.yml#Universal_Always
- Command patterns: References to appropriate shared/*.yml files
- Template system: Enhanced command-patterns.yml

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
NomenAK
2025-06-24 22:46:52 +02:00
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# /improve - Enhance code quality, performance and architecture
## Legend
| Symbol | Meaning | | Abbrev | Meaning |
|--------|---------|---|--------|---------|
| → | leads to | | cfg | configuration |
| & | and/with | | impl | implementation |
| w/ | with | | perf | performance |
| @ | at/located | | ops | operations |
| > | greater than | | val | validation |
| ∀ | for all/every | | req | requirements |
| ∃ | exists/there is | | deps | dependencies |
| ∴ | therefore | | env | environment |
| ∵ | because | | db | database |
| ≡ | equivalent | | api | interface |
| ≈ | approximately | | docs | documentation |
| 📁 | directory/path | | std | standard |
| 🔢 | number/count | | def | default |
| 📝 | text/string | | ctx | context |
| ⚙ | setting/config | | err | error |
| 🎛 | control/flags | | exec | execution |
| 🔧 | configuration | | qual | quality |
| 📋 | group/category | | rec | recovery |
| 🚨 | critical/urgent | | sev | severity |
| ⚠ | warning/caution | | resp | response |
| 🔄 | retry/recovery | | esc | escalation |
| ✅ | success/fixed | | tok | token |
| ❌ | failure/error | | opt | optimization |
| | information | | UX | user experience |
| ⚡ | fast/quick | | UI | user interface |
| 🐌 | slow/delayed | | C | critical |
| ✨ | complete/done | | H | high |
| 📖 | read operation | | M | medium |
| ✏ | edit operation | | L | low |
| 🗑 | delete operation | | |
@include shared/universal-constants.yml#Universal_Legend
## Purpose
Enhance code quality, performance, and architecture for systems specified in $ARGUMENTS using systematic improvement methodologies.
Systematically improve code quality, performance, and architecture in $ARGUMENTS using best practices and optimization techniques.
## Syntax
`/improve [flags] [target]`
## Universal Flags
--plan: "Show execution plan before running"
--uc: "UltraCompressed mode (~70% token reduction)"
--ultracompressed: "Alias for --uc"
--think: "Multi-file analysis w/ context (4K tokens)"
--think-hard: "Deep architectural analysis (10K tokens)"
--ultrathink: "Critical system redesign (32K tokens)"
--c7: "Enable Context7→library documentation lookup"
--seq: "Enable Sequential→complex analysis & thinking"
--magic: "Enable Magic→UI component generation"
--pup: "Enable Puppeteer→browser automation & testing"
--all-mcp: "Enable all MCP servers"
--no-mcp: "Disable all MCP servers (native tools only)"
--no-c7: "Disable Context7 specifically"
--no-seq: "Disable Sequential thinking specifically"
--no-magic: "Disable Magic UI builder specifically"
--no-pup: "Disable Puppeteer specifically"
@include shared/flag-inheritance.yml#Universal_Always
Examples:
- `/improve --quality` - Code quality improvements
- `/improve --perf --iterate` - Performance optimization
- `/improve --arch --think-hard` - Architecture refactoring
## Command-Specific Flags
--quality: "Code quality improvements (readability, maintainability, DRY)"
--perf: "Performance optimizations (algorithms, caching, queries)"
--arch: "Architecture improvements (patterns, coupling, scalability)"
--refactor: "Safe refactoring preserving behavior"
--iterate: "Iterative improvement until threshold met"
--threshold: "Quality threshold (low|medium|high|perfect)"
--metrics: "Show before/after metrics"
--safe: "Conservative mode - only safe changes"
**Improvement Focus:**
- `--quality`: Code structure, maintainability, and clean code principles
- `--performance`: System performance, bottlenecks, and optimization
- `--security`: Security improvements and vulnerability fixes
- `--architecture`: System design and architectural improvements
- `--ux`: User experience and interface improvements
## Improvement Categories
**Quality Enhancements:**
- `--solid`: Apply SOLID principles systematically
- `--refactor`: Clean code refactoring with modern patterns
- `--metrics`: Generate comprehensive quality metrics
- `--coverage`: Improve test coverage and quality
**Code Quality:** Naming clarity | Function extraction | Duplication removal | Complexity reduction | Error handling | Type safety
**Performance Optimization:**
- `--profile`: Performance profiling and bottleneck analysis
- `--cache`: Implement caching strategies
- `--async`: Optimize for asynchronous operations
- `--database`: Database query and schema optimization
**Performance:** Algorithm optimization | Query optimization | Caching strategies | Lazy loading | Memory efficiency | Parallel processing
**Execution Modes:**
- `--iterate`: Iterative improvement until threshold reached
- `--threshold [percent]`: Set target improvement percentage (default 85%)
- `--watch`: Continuous improvement monitoring
- `--interactive`: Guided improvement with user choices
**Architecture:** Design patterns | Dependency injection | Layer separation | Module boundaries | API design | Scalability patterns
## Examples
- `/improve --quality --solid --metrics` → Code quality with SOLID principles
- `/improve --performance --profile --cache` → Performance optimization with caching
- `/improve --iterate --threshold 90 --interactive` → Iterative improvement to 90%
- `/improve --security --architecture --seq` → Security and architecture analysis
- `/improve --ux --performance --watch` → UX and performance with monitoring
**Maintainability:** Documentation | Test coverage | Configuration extraction | Magic number removal | Dead code elimination
## Code Quality Mode (--quality)
## Improvement Process
**SOLID Principles Application:**
- **Single Responsibility**: One class, one clear purpose
- **Open/Closed**: Extensible without modification
- **Liskov Substitution**: Subtypes must be substitutable
- **Interface Segregation**: Specific over general interfaces
- **Dependency Inversion**: Depend on abstractions, not concretions
**1. Analysis:** Current state assessment | Identify improvement areas | Prioritize by impact | Set measurable goals
**Refactoring Techniques:**
- Extract methods and classes for complex logic
- Inline unnecessary abstractions
- Rename variables and functions for clarity
- Move code to appropriate modules
- Remove duplication (DRY principle)
- Simplify conditionals and loops
- Reduce coupling, increase cohesion
**2. Planning:** Safe refactoring path | Preserve functionality | Incremental changes | Rollback strategy
**Quality Metrics Tracking:**
- Cyclomatic complexity (target < 5)
- Method/function length (target < 20 lines)
- Class cohesion and coupling metrics
- Code duplication percentage
- Test coverage (target > 80%)
- Documentation completeness
- Technical debt assessment
**3. Implementation:** Small atomic changes | Continuous testing | Performance monitoring | Code review ready
**Clean Code Principles:**
- Meaningful, self-documenting names
- Functions that do one thing well
- Consistent coding style and formatting
- Proper error handling and logging
- Elimination of magic numbers and strings
- Comments that explain why, not what
**4. Validation:** Behavior preservation | Performance gains | Quality metrics | Regression testing
## Performance Mode (--performance)
**Code Optimization:**
- Algorithm complexity reduction (O(n²) → O(n log n))
- Efficient data structures selection
- Caching frequently accessed data
- Lazy loading and pagination strategies
- Asynchronous and parallel processing
- Memory usage optimization
**Database Optimization:**
- Query optimization and proper indexing
- N+1 query elimination
- Connection pooling implementation
- Batch operations for bulk updates
- Strategic denormalization
- Query result caching
**Frontend Optimization:**
- Bundle size reduction and tree shaking
- Code splitting and lazy loading
- Image and asset optimization
- Render performance improvements
- Service worker caching strategies
- React/Vue re-render optimization
**System Optimization:**
- Load balancing strategies
- CDN implementation and optimization
- Compression (gzip/brotli)
- HTTP/2 and proper caching headers
- Resource pooling and connection management
- Microservice communication optimization
## Iterative Mode (--iterate)
**Improvement Process:**
**1. Baseline Measurement:**
- Current performance metrics
- Code quality scores
- Test coverage percentage
- User experience metrics
- System reliability indicators
**2. Targeted Improvements:**
- Identify highest impact areas (80/20 rule)
- Prioritize improvements by ROI
- Make incremental, measurable changes
- Maintain working state throughout
**3. Progress Tracking:**
- Measure improvement after each iteration
- Document changes and their impact
- Calculate return on investment
- Adjust strategy based on results
**4. Completion Criteria:**
- Target threshold achievement
- Diminishing returns detection
- Time or budget constraints
- "Good enough" quality level
**Focus Areas by Type:**
- **Quality**: Complexity reduction, duplication removal, coverage increase
- **Performance**: Response time, throughput, resource utilization
- **User Experience**: Load time, responsiveness, error reduction
- **Maintainability**: Documentation, test quality, code structure
## Architecture Improvements (--architecture)
**Design Patterns:**
- Apply appropriate design patterns
- Implement dependency injection
- Use domain-driven design principles
- Implement proper separation of concerns
**System Architecture:**
- Microservices decomposition
- Event-driven architecture
- CQRS implementation where appropriate
- API design and optimization
**Scalability Enhancements:**
- Horizontal scaling strategies
- Database sharding and replication
- Caching layer implementation
- Load balancing optimization
@include shared/quality-patterns.yml#Code_Quality_Metrics
## Deliverables
- **Improvement Reports**: Detailed analysis of changes and their impact
- **Quality Metrics**: Before/after comparison of quality indicators
- **Performance Benchmarks**: Speed and efficiency improvements
- **Refactored Code**: Clean, optimized, and maintainable codebase
- **Documentation**: Updated docs reflecting improvements
## Output Locations
- **Reports**: `.claudedocs/metrics/improvement-{type}-{timestamp}.md`
- **Benchmarks**: `.claudedocs/metrics/performance-{timestamp}.json`
- **Quality Metrics**: `.claudedocs/metrics/quality-{timestamp}.md`
**Improved Code:** Refactored files | Preserved functionality | Enhanced quality | Better performance
## Research Requirements
External_Library_Research:
- Identify library/framework mentioned
- Context7 lookup for official documentation
- Verify API patterns and examples
- Check version compatibility
- Document findings in implementation
Pattern_Research:
- Search existing codebase for similar patterns
- Magic component search if UI-related
- WebSearch for official documentation
- Validate approach with Sequential thinking
- Document pattern choice rationale
API_Integration_Research:
- Official documentation lookup
- Authentication requirements
- Rate limiting and error handling
- SDK availability and examples
- Integration testing approach
**Improvement Report:** Before/after metrics | Changes summary | Performance gains | Quality improvements
## Report Notifications
📄 Analysis report saved to: {path}
📊 Metrics updated: {path}
📋 Summary saved to: {path}
💾 Checkpoint created: {path}
📚 Documentation created: {path}
📁 Created directory: {path}
✅ {operation} completed successfully
❌ {operation} failed: {reason}
⚠ {operation} completed w/ warnings
**Documentation:** Refactoring decisions | Architecture changes | Performance optimizations | Future recommendations
## Best Practices
**Improvement Methodology:**
1. **Measure Before Changing**: Establish baseline metrics
2. **Focus on Bottlenecks**: Address highest impact issues first
3. **Incremental Changes**: Make one improvement at a time
4. **Verify Improvements**: Validate changes with metrics
5. **Document Changes**: Record what was changed and why
6. **Consider Trade-offs**: Balance competing concerns
**Common Pitfalls to Avoid:**
- Premature optimization without profiling
- Over-engineering simple solutions
- Breaking changes without proper testing
- Ignoring existing test suite
- Gold-plating beyond requirements
**Balance Considerations:**
- Performance vs code readability
- Flexibility vs simplicity
- Speed vs correctness
- Present needs vs future scalability
## Common Improvement Scenarios
### Code Quality Issues
```bash
/improve --quality --solid --metrics --dry-run
# → Identifies SOLID principle violations
# → Suggests refactoring for better modularity
# → Measures complexity metrics before/after changes
```
### Performance Bottlenecks
```bash
/improve --performance --iterate --threshold 90%
# → Profiles CPU and memory usage patterns
# → Implements algorithmic optimizations
# → Continues until 90% performance threshold met
```
### Technical Debt Reduction
```bash
/improve --quality --iterate --technical-debt
# → Identifies code duplication and anti-patterns
# → Suggests consolidation opportunities
# → Implements incremental refactoring strategy
```
### Error Handling Enhancement
```bash
/improve --resilience --error-handling --comprehensive
# → Reviews exception handling patterns
# → Implements proper logging and monitoring
# → Adds circuit breakers and retry mechanisms
```
## Troubleshooting
- **Complex Codebases**: Use `--iterate --interactive` for guided improvements
- **Performance Issues**: Combine `--performance --profile --seq` for deep analysis
- **Quality Problems**: Apply `--quality --solid --metrics` for comprehensive fixes
- **Architecture Concerns**: Use `--architecture --think-hard` for system-wide improvements
## Success Messages
✅ {operation} completed successfully
📝 Created: {file_path}
✏ Updated: {file_path}
✨ Task completed: {task_title}
@include shared/universal-constants.yml#Success_Messages