shinpr

Guides subagent coordination through implementation workflows. Use when orchestrating multiple agents, managing workflow phases, or determining autonomous execution mode.

Technical decision criteria, anti-pattern detection, debugging techniques, and quality check workflow. Use when making technical decisions, detecting code smells, or performing quality assurance.

Language-agnostic testing principles including TDD, test quality, coverage standards, and test design patterns. Use when writing tests, designing test strategies, or reviewing test quality.

Execute frontend implementation in autonomous execution mode

Performs metacognitive task analysis and skill selection. Use when determining task complexity, selecting appropriate skills, or estimating work scale.

Execute decomposed tasks in autonomous execution mode

Execute frontend implementation in autonomous execution mode

Execute decomposed fullstack tasks with layer-aware agent routing

サブエージェントのタスク分担と連携を調整。規模判定と自律実行モードを制御。大規模タスク分割時に使用。

Coordinates subagent task distribution and collaboration. Controls scale determination and autonomous execution mode.

PRD、ADR、Design Doc、UI Spec、作業計画書の作成を支援。技術ドキュメントの作成・レビュー時、または「UI Spec/画面設計/コンポーネント分解」が言及された時に使用。

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.

コードの品質問題、アンチパターン、可読性を検査。機能実装、コードレビュー、リファクタリング時に使用。

Detects code smells, anti-patterns, and readability issues. Use when implementing features, reviewing code, or refactoring.

Provides project-specific prerequisites for AI execution accuracy — domain constraints, development phase, directory conventions, external resource access methods. Use when the session starts, when checking project structure, or when a task references domain rules or external resources outside the repository.

Analyzes task essence and selects appropriate skills. Returns scale estimates and metadata. Use when starting tasks or selecting skills.

Documentation creation criteria for PRD, ADR, Design Doc, UI Spec, and Work Plan with templates. Use when: creating or reviewing technical documents, determining which documents are required, or following document templates.

Execute decomposed backend tasks in autonomous execution mode using task-executor and quality-fixer.

Execute frontend tasks in autonomous execution mode using task-executor-frontend and quality-fixer-frontend.

Create frontend work plan from design document with test skeleton generation.

Frontend Design Doc compliance and security validation with optional auto-fixes using React-specific quality checks.

Execute decomposed fullstack tasks with layer-aware agent routing between backend and frontend executors.

Create work plan from design document with optional test skeleton generation.

Design Doc compliance and security validation with optional auto-fixes.

Guides PRD, ADR, Design Doc, and Work Plan creation. Use when: planning features, writing specs, or creating technical documents.

Detects code smells, anti-patterns, and debugging issues. Use when: fixing bugs, reviewing code quality, or refactoring.

Applies coding standards for clean, maintainable code. Use when: writing functions, handling errors, refactoring, or reviewing code style.

Selects implementation strategy (vertical/horizontal/hybrid) with risk assessment. Use when: planning features or deciding development approach.

Designs integration and E2E tests with mock boundaries. Use when: writing E2E tests, integration tests, or reviewing test quality.

Validates approach and checks assumptions before/after tasks. Use when: starting work, encountering errors, or switching phases.

Applies TDD process, test quality criteria, and mock guidelines. Use when: writing unit tests, using mocks, or reviewing test quality.

Prioritizes tests based on ROI and critical user journeys. Use when: deciding test coverage, selecting test types, or budgeting effort.

Analyzes and optimizes prompts using BP-001~008 patterns and 3-step flow (detect, optimize, balance). Use when "optimize this prompt", "review prompt quality", "analyze prompt issues", or creating/reviewing rashomon skill content.

Project-specific prompt optimization knowledge management. Use when storing or retrieving learned patterns from comparisons. Provides schema, extraction criteria, capacity management, and retention scoring.

Git worktree management for isolated parallel prompt execution. Use when creating isolated environments for prompt comparison or managing worktree lifecycle. Provides creation, cleanup, and orphan detection scripts.

Creates or updates Claude Code skills through interactive dialog, then evaluates effectiveness by parallel execution comparison. Use when creating new skills, updating existing skills, or evaluating skill quality.

Compares original and optimized prompts by parallel execution in git worktrees. Use when evaluating prompt improvement effects or learning prompt engineering through concrete examples.

Search, ingest, expand chunk context, or manage local documents via a local RAG MCP server (tools: query_documents, read_chunk_neighbors, ingest_file, ingest_data, delete_file, list_files). Use when user says "search my docs", "save this page", "read around that chunk", "what did I save about X", or invokes `npx mcp-local-rag`.

Optimizes image generation prompts using Subject-Context-Style structure. Use this skill when generating images, creating illustrations, photos, visual assets, editing images, or crafting prompts for any image generation model.

Run agent definitions as sub-agents. Use when the user names an agent or sub-agent to run, references an agent definition, or delegates a task to an agent.