Does this skill require specific external libraries?

Yes, it primarily utilizes the Tenacity library for production-grade retry logic and httpx for resilient network operations.

How does this handle 'thundering herd' problems?

It implements 'jitter' (randomized delay) alongside exponential backoff to ensure that multiple clients don't overwhelm a recovering service by retrying at the exact same moment.

What is the python-resilience skill?

It is a specialized capability for Claude Code that provides standardized patterns and code snippets for adding fault tolerance to Python applications, specifically focusing on retries and timeouts.

Can I use this for both sync and async Python code?

Absolutely. The skill includes patterns for standard synchronous functions as well as asynchronous decorators for modern asyncio-based applications.

Why shouldn't I retry every error?

Retrying permanent errors like 401 Unauthorized or ValueErrors wastes resources and can cause infinite loops; this skill helps you whitelist only transient network or server errors for retries.

Python Resilience & Fault Tolerance

Name: Python Resilience & Fault Tolerance
Author: JantonioFC

byJantonioFC

•

API Development

Implements robust error handling patterns in Python using automatic retries, exponential backoff, and circuit breakers.

This skill provides a comprehensive set of implementation patterns for building resilient Python applications capable of gracefully handling transient failures, network instability, and service outages. It leverages the industry-standard Tenacity library to implement sophisticated retry logic, exponential backoff, and jitter, ensuring that microservices and API integrations remain stable even when external dependencies are unreliable. By providing standardized decorators for timeouts and fail-safe defaults, it allows developers to separate infrastructure resilience from core business logic.

Key Features

01Reusable async and sync timeout decorators for consistent network operations

022 GitHub stars

03HTTP-specific resilience patterns for status codes like 429, 502, and 503

04Advanced retry logic with exponential backoff and jitter using Tenacity

05Smart filtering to distinguish between transient and permanent failures

06Observability patterns for logging and monitoring retry attempts

Use Cases

01Hardening API integrations against rate limiting and intermittent server errors

02Standardizing infrastructure concerns across large Python codebases using decorators

03Building fault-tolerant microservices that prevent cascading system failures

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jantoniofc/skillsbank python-resilience

For use in Claude.ai and ChatGPT

Key Features

01Reusable async and sync timeout decorators for consistent network operations

022 GitHub stars

03HTTP-specific resilience patterns for status codes like 429, 502, and 503

04Advanced retry logic with exponential backoff and jitter using Tenacity

05Smart filtering to distinguish between transient and permanent failures

06Observability patterns for logging and monitoring retry attempts

Use Cases

01Hardening API integrations against rate limiting and intermittent server errors

02Standardizing infrastructure concerns across large Python codebases using decorators

03Building fault-tolerant microservices that prevent cascading system failures