python-resilience

What problem does it solve?

This Skill helps developers build more reliable Python applications by implementing patterns that gracefully handle transient failures, network issues, and service outages.

Core Features & Use Cases

• Automatic Retries: Implement retry logic for external service calls that may fail temporarily.
• Exponential Backoff & Jitter: Prevent overwhelming services during recovery by increasing wait times with random delays.
• Timeouts: Ensure operations don't hang indefinitely by setting strict time limits.
• Fault-Tolerant Decorators: Create reusable decorators for common resilience patterns.
• Use Case: When calling a third-party API that occasionally returns 5xx errors or times out, this Skill can automatically retry the request a few times with increasing delays, ensuring your application remains functional.

Quick Start

Use the python-resilience skill to define a function that retries up to 3 times with exponential backoff and jitter when calling an external service.