shinpr

ai-development-guide ai

Technical decision criteria, anti-pattern detection, debugging techniques, and quality check workflow. Use when...

coding-principles ai

Language-agnostic coding principles for maintainability, readability, and quality. Use when implementing features,...

documentation-criteria ai

Documentation creation criteria including PRD, ADR, Design Doc, and Work Plan requirements with templates. Use when...

frontend-ai-guide ai

Frontend-specific technical decision criteria, anti-patterns, debugging techniques, and quality check workflow. Use...

implementation-approach ai

Implementation strategy selection framework with meta-cognitive approach, verification levels, and integration point...

integration-e2e-testing ai

Integration and E2E test design principles, ROI calculation, test skeleton specification, and review criteria. Use...

subagents-orchestration-guide ai

Guides subagent coordination through implementation workflows. Use when orchestrating multiple agents, managing...

task-analyzer ai

Performs metacognitive task analysis and skill selection. Use when determining task complexity, selecting...

testing-principles ai

Language-agnostic testing principles including TDD, test quality, coverage standards, and test design patterns. Use...

typescript-rules ai

React/TypeScript frontend development rules including type safety, component design, state management, and error...

typescript-testing ai

Frontend testing rules with Vitest, React Testing Library, and MSW. Includes coverage requirements, test design...