patterns
System design and architecture patterns. Covers layered architecture, clean architecture, microservices vs monolith decisions, event-driven patterns, and trade-off analysis frameworks.
Discover testing security architecture patterns skills, compare source repositories and read the instructions for each workflow.
System design and architecture patterns. Covers layered architecture, clean architecture, microservices vs monolith decisions, event-driven patterns, and trade-off analysis frameworks.
Standards for separation of concerns, layer dependency rules, and DDD in Flutter.
system-map-collectorで作成したシステムマップからInvariants(不変条件)とGlobal Rules(全体ルール)を抽出するスキル。 コンポーネント、境界、データフロー、ランタイム要素等からシステム全体で守るべき制約を発見し、...
System architecture design and technical decision making for complex features
Master error handling patterns across languages including exceptions, Result types, error propagation, and graceful degradation to build resilient applications. Use when implementing error handling, designing A...
Go language fundamentals, concurrency, error handling, and project patterns.
Improve reliability via timeouts, retries, circuit breakers, degradation, and fault isolation. Use when failures, timeouts, or dependency flakiness impact users.
CSS architecture for vanilla CSS - organization, design tokens, responsive patterns
Best practices for implementing Clean Architecture in Remix/TypeScript apps. Covers Service Layer, Repository Pattern, and Dependency Injection.
Creating checkpoints for session recovery and context management
React Best Practices, Server Components, Anti-Waterfall
Task delegation patterns for multi-agent systems - hierarchical, parallel, and reactive delegation.
eliminates server-side waterfalls
Master Test Architect & Quality Advisor. Use when defining test strategies, selecting frameworks (Web/API/Mobile/Hybrid), or establishing quality methodologies (EvDD/TDD/BDD). Provides architectural guidance ra...
Standards for managing local, global, and server state.
Architecture principles for module boundaries, design patterns, and migration strategies
Standards for organizing code by feature at the root level to improve scalability and maintainability.
Best practices and conventions for creating and maintaining Airflow DAGs, including task naming, flow patterns, and error handling.
Parallel task execution through dependency-based wave grouping
Implement consumer-driven contracts and compatibility.
Guidelines for establishing and maintaining a standardized, intuitive, and automated repository environment to minimize technical debt and ensure long-term maintainability.
reduces iterations
Backend Architect and Staff Engineer designing secure, scalable, modular systems with strong data modeling and observability.
MCP (Model Context Protocol) server development
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.