Does this skill require specific libraries?

While it provides logic for custom patterns, it emphasizes production-grade implementations using the Tenacity library for comprehensive retry management.

What is a 'fail-safe default' in this context?

It is a pattern where a function returns a safe, pre-defined value (like an empty list) instead of raising an exception, allowing non-critical application features to remain functional during partial failures.

When should I use exponential backoff instead of a standard retry?

Exponential backoff should be used when calling external services to avoid overwhelming them during recovery, specifically when combined with jitter to prevent 'thundering herd' issues.

What is the main benefit of the Python Resilience skill?

It helps developers implement standard patterns like retries and timeouts to ensure Python applications handle transient network errors and service outages without crashing.

Can this skill help with async Python code?

Yes, the skill includes specific patterns for async-compatible timeouts and resilience decorators designed for modern asynchronous Python workflows.

Python Resilience Patterns

Name: Python Resilience Patterns
Author: wshobson

bywshobson

•

27,605

API開発

Implements fault-tolerant patterns like automatic retries and exponential backoff to build robust, self-healing Python applications.

概要

The Python Resilience skill provides Claude with specialized patterns and implementation guidance for building systems that gracefully handle transient failures and unreliable dependencies. It focuses on production-grade strategies including exponential backoff with jitter, bounded retries, and sophisticated timeout management using the Tenacity library and native Python decorators. This skill is essential for developers building microservices, integrating external APIs, or creating high-availability systems where network latency and service outages must be managed without system-wide failure.

主な機能

Reusable async-compatible timeout and tracing decorators
Granular exception and HTTP status code filtering
Fail-safe default strategies for non-critical operation paths
27,605 GitHub stars
Production-ready Tenacity library implementation patterns
Automatic retry logic with exponential backoff and jitter

ユースケース

Adding robust retry logic to unstable external API integrations
Implementing rate-limiting and backpressure handling in data pipelines
Building fault-tolerant microservices that handle network latency

概要

主な機能

Reusable async-compatible timeout and tracing decorators
Granular exception and HTTP status code filtering
Fail-safe default strategies for non-critical operation paths
27,605 GitHub stars
Production-ready Tenacity library implementation patterns
Automatic retry logic with exponential backoff and jitter

ユースケース

Adding robust retry logic to unstable external API integrations
Implementing rate-limiting and backpressure handling in data pipelines
Building fault-tolerant microservices that handle network latency