k8s-rollouts
Progressive delivery with Argo Rollouts and Flagger. Use when implementing canary deployments, blue-green deployments, or traffic shifting strategies.
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Skills indexés
15Étoiles des dépôts des skills indexés
9,597Forks du dépôt
1,487Moyenne des étoiles par skill indexé
640Les étoiles d’un dépôt peuvent se répéter entre ses skills.
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
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.