k8s-rollouts
Progressive delivery with Argo Rollouts and Flagger. Use when implementing canary deployments, blue-green deployments, or traffic shifting strategies.
浏览 rohitg00 维护的已发布 AI 技能,比较用途与说明,并通过来源仓库了解安装方式。
已收录技能
15收录技能的仓库 Stars 合计
9,597仓库 Forks
1,487平均每个技能的仓库 Stars
640同一仓库中的多个技能可能共享 Stars,合计包含重复仓库数据。
Progressive delivery with Argo Rollouts and Flagger. Use when implementing canary deployments, blue-green deployments, or traffic shifting strategies.
MCP server development including tool design, resource endpoints, prompt templates, and transport configuration
CI/CD pipeline design with GitHub Actions, Docker, Kubernetes, Helm, and GitOps patterns
Django architecture patterns including DRF, ORM optimization, signals, middleware, and project structure
Idiomatic Go patterns for error handling, interfaces, concurrency, testing, and module management
Microservices design patterns including service mesh, event-driven architecture, saga pattern, and API gateway
Redis patterns including caching strategies, pub/sub, streams for event processing, Lua scripts, and data structures
Rust systems programming patterns including ownership, traits, async runtime, error handling, and unsafe guidelines
Spring Boot patterns including JPA repositories, REST controllers, layered services, and configuration
Test-driven development workflow with Red-Green-Refactor cycle across languages
Real-time communication patterns with WebSocket, Socket.io, Server-Sent Events, and scaling strategies
Guides the creation of technical design documents before writing code, producing architecture diagrams, data models, API interface definitions, implementation plans, and multi-option trade-off analyses. Use whe...
Guides the red-green-refactor TDD workflow: write a failing test first, implement the minimum code to make it pass, then refactor while keeping tests green. Use when a user asks to practice TDD, write tests fir...
Effective patterns for writing maintainable, reliable tests
Common testing mistakes to avoid for reliable, maintainable tests
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。