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writing-python-services
Writing a class with encapsulated logic that interfaces with an external system. Logging, APIs, etc.
Skills IA devops architecture patterns
Découvrez les skills devops architecture patterns, comparez leurs dépôts et consultez leurs instructions.
Catégories: devops architecture patterns
devops architecture patterns Effacer les filtres
Explorer
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coder-memory-store
Store universal coding patterns and insights into vector database. Use after completing difficult tasks with broadly-applicable lessons that work across ANY project. Use when user says "--coder-store" or "--lea...
GitHub
rails-service-patterns
Rails service object patterns and business logic organization. Automatically invoked when working with service objects, extracting business logic, implementing command/query patterns, or organizing app/services...
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distributed-tracing
Comprehensive distributed tracing with Jaeger, Zipkin, OpenTelemetry, correlation IDs, and span design.
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project-orchestration
Orchestrate autonomous project development through state-driven execution
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model-deployment
Model deployment strategies including serving infrastructure, containerization, model packaging, versioning, and production deployment patterns.
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event-driven-architecture
Event sourcing, CQRS, and message queue patterns with RabbitMQ and Kafka for distributed systems
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architecting-omega-systems
Designs scalable, resilient architectures using the 7 Omega principles. Use when building systems that need to scale to millions of users or designing platform-level infrastructure.
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ai-architecture
AI application architecture - gateway, orchestration, model routing, observability, deployment patterns. Use when designing AI systems, scaling applications, or building production infrastructure.
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security-hardening
Advanced security patterns including zero-trust architecture, secret management, CSP, and compliance frameworks
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implementing-defense-in-depth
AI agent designs layered security architecture with multiple independent protective barriers ensuring no single point of failure. Use when building security systems, reviewing architecture, or hardening applica...
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chaos-engineering-and-resilience-testing
The agent implements chaos engineering practices for building resilient systems. Use when testing fault tolerance, designing game days, or validating system recovery.
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real-time-systems
WebSocket, Server-Sent Events, and real-time communication patterns for live features
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coding-with-omega-leverage
Applies AI-first development patterns for 10-100x productivity through specification-driven generation and leverage multiplication. Use when developing features with AI assistance or optimizing development work...
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testingchaos-testing
Chaos engineering and fault injection patterns for testing system resilience, failure recovery, and graceful degradation
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api-architecture
Enterprise API design with REST, GraphQL, gRPC patterns including versioning, pagination, and error handling
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spring
Enterprise Spring Boot development with JPA, security, testing, and microservices patterns
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observability
Production observability with structured logging, metrics collection, distributed tracing, and alerting
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developing-test-driven
AI agent practices test-first development with the Red-Green-Refactor cycle for confident, well-designed code. Use when implementing features, fixing bugs, or establishing testing practices.
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contract-testing
Consumer-driven contract testing with Pact, schema validation, provider verification, and CI/CD integration.
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service-discovery
Service discovery patterns with Consul, Kubernetes DNS, Eureka, health checks, and client-side load balancing.
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thinking-sequentially
AI agent structures complex reasoning through numbered thought sequences with explicit dependencies. Use when facing multi-step problems, complex debugging, or architectural decisions.
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monorepo-management
Enterprise monorepo patterns with Turborepo and Nx including task orchestration, caching, and CI/CD optimization
GitHub
service-mesh
Advanced service mesh implementation with Istio, Linkerd, traffic management, mTLS, and observability.
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.