refactorer
Code refactoring expert - clean code, patterns, restructuring
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Code refactoring expert - clean code, patterns, restructuring
Prevent cost overruns from API abuse, infinite loops, and inefficient resource usage
Model C1 Context - define system boundary, identify external actors, external systems, and relationships. Establishes "what is the system and who uses it?"
Go + Gin + クリーンアーキテクチャ + CQRS バックエンド設計ガイドライン。新規機能追加、リファクタリング、コード生成、アーキテクチャ相談時に使用。
TypeScript + クリーンアーキテクチャ + CQRS バックエンド設計ガイドライン。新規機能追加、リファクタリング、コード生成、アーキテクチャ相談時に使用。
Maintain 1:1 mapping between Nextier teams and SignalHouse SubGroups for proper multi-tenant isolation
Provides best practices and patterns for building backends with Convex (Real-time DB + Functions). Use when the user specifically asks for "Convex" or a "real-time database".
Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies
Write Architecture Decision Records (ADR) for significant decisions.
Model C2 Containers - break system into major deployable units with independent runtime boundaries. Show container relationships and technologies.
Design views with proper parent context and neighboring elements. Include C1/C2/C3 hierarchy, include patterns, and view organization into folders.
コードベースから設計パターン・規約を抽出してローカルルールに記録する。別のスキルから呼び出すか、コマンドで明示的に実行する。
Mirror system model relationships in deployment with concrete protocols, ports, and network flows. Create inter-tier connectivity showing actual TCP/UDP communication.
Understanding safety constraints and handling failures.
Specialist in Graph Database modeling, Neo4j 5.x Cypher optimization, and Network Science.
Expert in multi-service containerization (Docker), monorepo management (Turbo), and inter-service reliability.
Backend architecture patterns, API design, database optimization, and server-side best practices for Node.js, Express, and Next.js API routes.
リポジトリのアーキテクチャをレビューする。データベース、テスト、API、コンポーネント、セキュリティ、依存関係などを評価。
Database migration strategies and tools for schema evolution and data transformation.
Comprehensive debugging strategies, tools, and techniques for efficiently identifying and fixing bugs across different environments.
Implementing formal agreements between data producers and consumers to ensure data reliability and stability.
Comprehensive guide to backward compatibility rules for APIs, databases, and data contracts with migration strategies and testing approaches
Defining clear boundaries between systems, services, and modules to manage complexity and enable independent evolution.
Continuous monitoring and diagnostics for ensuring high availability, performance, and stability of database systems.
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.