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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>
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/improve - Enhance code quality, performance and architecture
@include shared/universal-constants.yml#Universal_Legend
Purpose
Systematically improve code quality, performance, and architecture in $ARGUMENTS using best practices and optimization techniques.
Syntax
/improve [flags] [target]
@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 Categories
Code Quality: Naming clarity | Function extraction | Duplication removal | Complexity reduction | Error handling | Type safety
Performance: Algorithm optimization | Query optimization | Caching strategies | Lazy loading | Memory efficiency | Parallel processing
Architecture: Design patterns | Dependency injection | Layer separation | Module boundaries | API design | Scalability patterns
Maintainability: Documentation | Test coverage | Configuration extraction | Magic number removal | Dead code elimination
Improvement Process
1. Analysis: Current state assessment | Identify improvement areas | Prioritize by impact | Set measurable goals
2. Planning: Safe refactoring path | Preserve functionality | Incremental changes | Rollback strategy
3. Implementation: Small atomic changes | Continuous testing | Performance monitoring | Code review ready
4. Validation: Behavior preservation | Performance gains | Quality metrics | Regression testing
@include shared/quality-patterns.yml#Code_Quality_Metrics
Deliverables
Improved Code: Refactored files | Preserved functionality | Enhanced quality | Better performance
Improvement Report: Before/after metrics | Changes summary | Performance gains | Quality improvements
Documentation: Refactoring decisions | Architecture changes | Performance optimizations | Future recommendations
@include shared/universal-constants.yml#Success_Messages