发现 devops architecture patterns 相关 Skills，比较来源仓库和用途，查看适合你工作流的技能说明。
State persistence patterns for autonomous-dev including JSON persistence, atomic writes, file locking, crash recovery, and state versioning. Use when implementing stateful libraries or features requiring persis...
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...
Design and implement Internal Developer Platforms (IDPs) with self-service capabilities, golden paths, and developer experience optimization. Covers platform strategy, IDP architecture (Backstage, Port), infras...
Async communication patterns using message brokers and task queues. Use when building event-driven systems, background job processing, or service decoupling. Covers Kafka (event streaming), RabbitMQ (complex ro...
Architecture patterns - monolith vs microservices, layered, event-driven, CQRS.
Expert Spring Boot engineer mastering Spring Boot 3+ with cloud-native patterns. Specializes in microservices, reactive programming, Spring Cloud integration, and enterprise solutions for scalable, production-r...
GraphQL schema architect for efficient, scalable API graphs. Invoke for federation, subscriptions, query optimization. Keywords: GraphQL, Apollo, Federation, schema design, resolvers.
Master authentication and authorization patterns including JWT, OAuth2, session management, and RBAC to build secure, scalable access control systems. Use when implementing auth systems, securing APIs, or debug...
Çoklu agent mimarisi tasarımı, orchestration patterns ve agent collaboration rehberi.
A rigorous, traceability-first system that generates five interconnected architectural documents (blueprint.md, requirements.md, design.md, tasks.md, and validation.md) with complete requirements-to-implementat...
Deep dive into SwiftData design patterns and best practices. Covers schema design, query patterns, repository pattern, and performance optimization. Use when designing data models or improving SwiftData usage.
Generates technical architecture specification from PRD. Covers architecture pattern, tech stack, data models, and app structure. Use when creating ARCHITECTURE.md or designing system architecture.
Deep dive into software architecture for macOS. Covers SOLID principles, design patterns, and modular code organization. Use when designing app architecture or refactoring.
RFC-33 compliant gRPC service standards for Java services. Covers protobuf contracts, service implementation, resilience patterns (retry, bulkhead, circuit breaker), and linting. Use when creating or maintainin...
Java service standards for Bitso projects. Covers tech stack requirements, project organization, code review guidelines, MapStruct usage, and build verification practices. Use when creating new Java services or...
Version catalog strategy, dependency management, BOMs, and version constraints for Java/Gradle projects. Covers version centralization, never-downgrade policy, bundle patterns, resolution strategies, and compat...
RFC-44 compliant distributed locking patterns for Java services. Covers PostgreSQL advisory locks and Redis-based locking, migration workflows, and common patterns. Use when implementing or migrating distribute...
AI-friendly documentation generation for Java services following RFC-37 standards. Covers documentation structure, templates, change detection, and RAG optimization. Use when generating or updating service docu...
Decompose Linear todos into actionable, testifiable chunks with rationale, as-is/to-be analysis, expected outputs, and risk assessment for effective project management
Ruby and Rails best practices following POODR and Refactoring Ruby. Use for Rails development guidance, code quality, dependency injection, small methods, and OOP principles. Triggers on "rails best practice",...
Apply effective software quality consultancy practices. Use when consulting, advising clients, or establishing consultancy workflows.
Measure quality effectively with actionable metrics. Use when establishing quality dashboards, defining KPIs, or evaluating test effectiveness.
Chaos engineering principles, controlled failure injection, resilience testing, and system recovery validation. Use when testing distributed systems, building confidence in fault tolerance, or validating disast...
Apply context-driven testing principles where practices are chosen based on project context, not universal "best practices". Use when making testing decisions, questioning dogma, or adapting approaches to speci...
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库，同一仓库的多个技能可能共享相同数值；它反映仓库关注度，不代表单个技能的安装量或质量评分。