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Copilot agent that assists with CI/CD pipeline creation, infrastructure automation, Docker/Kubernetes deployment, and DevOps best practices Trigger terms: CI/CD, DevOps, pipeline, Docker, Kubernetes, deployment automation, containerization, infrastructure automation, GitHub Actions, GitLab CI Use when: User requests involve devops engineer tasks.
DDDアーキテクチャでFastAPIのバックエンドを新規実装または既存コードベースをリファクタリングする際のガイド。レイヤー構成（domain/application/infrastructure/controller）、依存方向、責務境界、pydantic/sqlalchemy(sqlmodel)/alembic/pytestの前提、セッション管理（Dependsで1リクエスト1セッション、必要時UoW）を含む。
ARCHITECT PHASE: Architectural design patterns, component templates, and system design guidance. Provides proven architectural patterns including microservices, layered architecture, event-driven systems, C4 diagram templates, API contract formats, and design anti-patterns. Use when: designing system architecture, creating component diagrams, defining interfaces, planning component boundaries, choosing architectural patterns, organizing system modules, or when user mentions: architecture, components, system design, diagrams, C4, microservices, API contracts, service boundaries, architectural patterns. Use for: component design, interface definition, system boundaries, dependency management, architecture documentation, design patterns, integration patterns. DO NOT use for: code implementation details, specific framework syntax, database schema design, frontend-specific patterns, testing strategies, or security implementation (use dedicated skills).
Go library development patterns. Use when designing library APIs, implementing extensibility, or working on packages in pkg/ directories. Triggers: format extensibility, provider separation, capability composition, library scope, supplemental packages, public API design.
FAIL LOUDLY pattern for selection constraints. Trigger when: (1) correlated stocks selected together, (2) min_crypto_positions ignored, (3) constraints violated silently.
Manage architectural decisions and insights in memory.jsonl. Use when you need to document strategic decisions, lessons learned, fixed problems, or architectural insights. Append-only audit trail for project knowledge.
Supabase RLS パフォーマンス最適化。セキュリティ境界と最適化フィルタの区別、および堅牢な関数定義を規定。
クリーンアーキテクチャ・DDD設計 - レイヤー設計、ドメインモデリング、依存関係管理
Enterprise Master-Clone pattern implementation guide for complex multi-step tasks with full project context, autonomous delegation, parallel processing, and intelligent task distribution; activates for large-scale migrations, complex refactoring, parallel exploration, architecture restructuring, and multi-file transformations
container-workerがSubtask実装時に参照する詳細ルール（設計書参照、粒度、TDD、品質レビュー、出力形式）を定義
Comprehensive Railway.com project, environment, and variable management. Use when creating Railway projects, managing environments, configuring services, setting variables, syncing environments, managing PR environments, or organizing Railway infrastructure.
Create domain entities following DDD principles. Use when the user wants to create a new entity, add a domain model, implement domain logic, or mentions "entity", "domain", "model", "aggregate".
Spot patterns appearing in 3+ domains to find universal principles
Core architecture principles (SSOT, DRY, Anti-Spaghetti) for maintainable code design. Use when planning features, implementing code, or reviewing architecture to prevent duplication and technical debt.
Orchestrates complex or architectural code changes through a structured workflow. Use when the user requests multi-file changes, new features, architectural refactoring, database schema changes, new API endpoints, or any task requiring significant planning. Triggers context gathering, planning, code review, TDD execution, and manual testing.
SSOT blueprint for creating consistent services: folder structure, required endpoints, dependency conventions, interface contracts, docs/testing/security/observability requirements
Comprehensive guide to caching strategies, cache layers, invalidation patterns, and implementation for improving application performance
Structured process for reviewing and validating architectural decisions before implementation to catch issues early.
