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Found 80 Skills
Resilience patterns for .NET 10 applications using Polly v8. Covers retry, circuit breaker, timeout, fallback, rate limiter, hedging, and composing resilience pipelines. Load this skill when implementing retry logic, circuit breakers, handling transient failures, or when the user mentions "Polly", "resilience", "retry", "circuit breaker", "timeout", "fallback", "rate limit", "hedging", "transient fault", "HttpClient resilience", or "resilience pipeline".
IHttpClientFactory and typed HTTP clients for .NET 10 applications. Covers named/typed/keyed clients, DelegatingHandlers, resilience with Microsoft.Extensions.Http.Resilience, and testing patterns. Load this skill when configuring HTTP clients, adding retry/circuit breaker policies, or when the user mentions "HttpClient", "IHttpClientFactory", "AddHttpClient", "typed client", "named client", "DelegatingHandler", "resilience", "retry", "circuit breaker", "hedging", "Polly", "AddStandardResilienceHandler", "socket exhaustion", or "Refit".
Improve interface resilience through better error handling, i18n support, text overflow handling, and edge case management. Makes interfaces robust and production-ready.
Idiomatic Golang design patterns — functional options, constructors, error flow and cascading, resource management and lifecycle, graceful shutdown, resilience, architecture, dependency injection, data handling, and streaming. Apply when designing Go APIs, structuring applications, choosing between patterns, making design decisions, architectural choices, or production hardening.
Asynchronous event-based communication to decouple producers/consumers for scalability and resilience. Triggers: event-driven, message queue, pub/sub, asynchronous, decoupling Use when: real-time workloads or multiple subsystems react to same events DO NOT use when: selecting paradigms (use architecture-paradigms first), simple request-response.
Injects managed chaos into environments to test system resilience. Validates that self-healing and monitoring systems work as expected under stress.
Production-grade fault tolerance for distributed systems. Use when implementing circuit breakers, retry with exponential backoff, bulkhead isolation patterns, or building resilience into LLM API integrations.
Apply when improving VTEX IO Node or .NET services for latency, throughput, and resilience: in-process LRU, VBase, stale-while-revalidate, AppSettings loading, request context, parallel client calls, and avoiding duplicate work. Covers application-level performance patterns that complement edge/CDN caching. Use when optimizing backends beyond route-level Cache-Control.
Configures AWS Application Recovery Controller (ARC) for operational resilience: routing controls with safety rules for cross-Region failover, and zonal shift / zonal autoshift for AZ-impairment recovery. Applies when setting up failover routing, configuring safety rules, enabling zonal shift, or configuring zonal autoshift with practice runs. Also applies when shifting traffic out of a specific Availability Zone (AZ) for an ALB/NLB or other resource. For a broader "an AZ is impaired, what is my response across services" question, see aws-resilience-lifecycle. Does not apply to Resilience Hub setup or FIS experiments.
Implement circuit breaker patterns for fault tolerance, automatic failure detection, and fallback mechanisms. Use when calling external services, handling cascading failures, or implementing resilience patterns.
Guidelines for building production-grade microservices with FastAPI/Python and Go, covering serverless patterns, clean architecture, observability, and resilience.
Create a shared ServiceDefaults project for Aspire applications. Centralizes OpenTelemetry, health checks, resilience, and service discovery configuration across all services.