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Found 4 Skills
Python resilience patterns including automatic retries, exponential backoff, timeouts, and fault-tolerant decorators. Use when adding retry logic, implementing timeouts, building fault-tolerant services, or handling transient failures.
Condition-based polling and retry patterns: exponential backoff, health checks, rate limit recovery, circuit breakers. Use when replacing arbitrary sleeps with condition checks, implementing retry logic, waiting for service availability, or handling API rate limits. Use for "wait for", "poll until", "retry with backoff", "health check", or "rate limit". Do NOT use for async event-driven architectures, distributed locking, or real-time guarantees.
Error handling best practices across languages — error types, recovery strategies, user-facing messages, and logging. Reference when implementing error handling or designing error flows.
Design error handling strategies for TypeScript and Python applications — exception hierarchies, Result/Either types, retry patterns, error boundaries, and structured error logging. Use when designing error handling architecture, choosing between exceptions and Result types, implementing retry logic, or building error recovery flows. Activate on "error handling", "exception hierarchy", "Result type", "retry pattern", "circuit breaker", "error boundary", "Pokemon exception". NOT for debugging specific runtime errors, logging infrastructure setup, or monitoring/alerting configuration.