implementation-approach
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npx mdskill add shinpr/claude-code-workflows/implementation-approachSelects optimal implementation strategies by analyzing current state and exploring patterns for planning or verification.
- Helps plan implementation strategies, choose development approaches, or define verification criteria.
- Integrates with WebSearch for tech stack examples and references similar projects or OSS.
- Decides recommendations through meta-cognitive analysis of architecture, quality, and historical context.
- Presents results as structured frameworks with question lists and strategy discovery processes.
SKILL.md
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--- name: implementation-approach description: Implementation strategy selection framework. Use when planning implementation strategy, selecting development approach, or defining verification criteria. --- # Implementation Strategy Selection Framework (Meta-cognitive Approach) ## Meta-cognitive Strategy Selection Process ### Phase 1: Comprehensive Current State Analysis **Core Question**: "What does the existing implementation look like?" #### Analysis Framework ```yaml Architecture Analysis: Responsibility separation, data flow, dependencies, technical debt Implementation Quality Assessment: Code quality, test coverage, performance, security Historical Context Understanding: Current form rationale, past decision validity, constraint changes, requirement evolution ``` #### Meta-cognitive Question List - What is the true responsibility of this implementation? - Which parts are business essence and which derive from technical constraints? - What dependencies or implicit preconditions are unclear from the code? - What benefits and constraints does the current design bring? ### Phase 2: Strategy Exploration and Creation **Core Question**: "When determining before → after, what implementation patterns or strategies should be referenced?" #### Strategy Discovery Process ```yaml Research and Exploration: Tech stack examples (WebSearch), similar projects, OSS references, literature/blogs Creative Thinking: Strategy combinations, constraint-based design, phase division, extension point design ``` #### Reference Strategy Patterns (Creative Combinations Encouraged) **Legacy Handling Strategies**: - Strangler Pattern: Gradual migration through phased replacement - Facade Pattern: Complexity hiding through unified interface - Adapter Pattern: Bridge with existing systems **New Development Strategies**: - Feature-driven Development: Vertical implementation prioritizing user value - Foundation-driven Development: Foundation-first construction prioritizing stability - Risk-driven Development: Prioritize addressing maximum risk elements **Integration/Migration Strategies**: - Proxy Pattern: Transparent feature extension - Decorator Pattern: Phased enhancement of existing features - Bridge Pattern: Flexibility through abstraction **Important**: The optimal solution is discovered through creative thinking according to each project's context. ### Phase 3: Risk Assessment and Control **Core Question**: "What risks arise when applying this to existing implementation, and what's the best way to control them?" #### Risk Analysis Matrix ```yaml Technical Risks: System impact, data consistency, performance degradation, integration complexity Operational Risks: Service availability, deployment downtime, process changes, rollback procedures Project Risks: Schedule delays, learning costs, quality achievement, team coordination ``` #### Risk Control Strategies ```yaml Preventive Measures: Phased migration, parallel operation verification, integration/regression tests, monitoring setup Incident Response: Rollback procedures, log/metrics preparation, communication system, service continuation procedures ``` ### Phase 4: Constraint Compatibility Verification **Core Question**: "What are this project's constraints?" #### Constraint Checklist ```yaml Technical Constraints: Library compatibility, resource capacity, mandatory requirements, numerical targets Temporal Constraints: Deadlines/priorities, dependencies, milestones, learning periods Resource Constraints: Team/skills, work hours/systems, budget, external contracts Business Constraints: Market launch timing, customer impact, regulatory compliance ``` ### Phase 5: Implementation Approach Decision Select optimal solution from basic implementation approaches (creative combinations encouraged): #### Vertical Slice (Feature-driven) **Characteristics**: Vertical implementation across all layers by feature unit **Application Conditions**: Features share fewer than 2 data models, each feature is independently deliverable, changes touch 3+ architecture layers **Verification Method**: End-user value delivery at each feature completion #### Horizontal Slice (Foundation-driven) **Characteristics**: Phased construction by architecture layer **Application Conditions**: 3+ features depend on a common foundation layer, foundation changes require stability verification before consumers can proceed **Verification Method**: Integrated operation verification when all foundation layers complete #### Hybrid (Creative Combination) **Characteristics**: Flexible combination according to project characteristics **Application Conditions**: Unclear requirements, need to change approach per phase, transition from prototyping to full implementation **Verification Method**: Verify at appropriate L1/L2/L3 levels according to each phase's goals ### Phase 6: Decision Rationale Documentation **Design Doc Documentation**: Record in the Design Doc's implementation approach section: 1. Selected strategy name and characteristics 2. Alternatives considered and reason for rejection 3. Risk mitigation plan (from Phase 3) 4. Constraint compliance summary (from Phase 4) 5. Verification level (L1/L2/L3) and integration point definition ## Verification Level Definitions Priority for completion verification of each task: - **L1: Functional Operation Verification** - Operates as end-user feature (e.g., search executable) - **L2: Test Operation Verification** - New tests added and passing - **L3: Build Success Verification** - Code builds/runs without errors **Priority**: L1 > L2 > L3 in order of verifiability importance ## Integration Point Definitions Define integration points according to selected strategy: - **Strangler-based**: When switching between old and new systems for each feature - **Feature-driven**: When users can actually use the feature - **Foundation-driven**: When all architecture layers are ready and E2E tests pass - **Hybrid**: When individual goals defined for each phase are achieved ## Quality Checks 1. Verify at least one strategy combination beyond listed patterns was considered 2. Confirm Phase 1 analysis framework is complete before selecting strategy 3. Confirm Phase 3 risk analysis matrix is populated before implementation starts 4. Confirm Phase 4 constraint checklist is reviewed before strategy decision 5. Confirm Phase 6 documentation template is filled with selection rationale ## Guidelines for Meta-cognitive Execution 1. **Leverage Known Patterns**: Use as starting point, explore creative combinations 2. **Active WebSearch Use**: Research implementation examples from similar tech stacks 3. **Apply 5 Whys**: Pursue root causes to grasp essence 4. **Multi-perspective Evaluation**: Comprehensively evaluate from each Phase 1-4 perspective
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