implementation-approach
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
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
More from shinpr/ai-coding-project-boilerplate
documentation-criteria
Guides PRD, ADR, Design Doc, UI Spec, and Work Plan creation. Use when creating or reviewing technical documents, or when "UI spec/screen design/component decomposition" is mentioned.
12project-context
Provides project-specific prerequisites for AI execution accuracy. Use when checking project structure.
10coding-standards
Detects code smells, anti-patterns, and readability issues. Use when implementing features, reviewing code, or refactoring.
9technical-spec
Defines environment variables, architecture design, and build/test commands. Use when configuring environment or designing architecture.
9task-analyzer
Analyzes task essence and selects appropriate skills. Returns scale estimates and metadata. Use when starting tasks or selecting skills.
9typescript-rules
Applies type safety and error handling rules. Enforces no-any policy and type guards. Use when implementing TypeScript or reviewing types.
9