How does the Circuit Breaker pattern improve application stability?

It prevents a system from repeatedly attempting an operation that is likely to fail (such as a timed-out API call), which prevents cascading failures and gives the failing service time to recover.

What is the difference between Exceptions and Result types?

Exceptions typically disrupt control flow and are used for unexpected errors, while Result types make error handling explicit in the function signature, usually for expected failures like validation errors.

Which programming languages does this skill support?

The skill provides specific implementation patterns for Python, TypeScript/JavaScript, Rust, and Go, as well as universal architectural patterns applicable to any language.

Can this skill help with debugging production issues?

Yes, by implementing standardized error hierarchies and better error messages, it ensures that logs provide high-context information that simplifies root-cause analysis.

Error Handling Patterns

Name: Error Handling Patterns
Author: amurata

byamurata

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API 개발

Implements robust error handling strategies and resilience patterns across multiple programming languages to build fault-tolerant applications.

소개

This skill equips Claude with specialized knowledge for designing and implementing advanced error handling architectures, ranging from traditional exception hierarchies to modern functional Result types. It provides concrete implementation patterns for major languages like Python, TypeScript, Rust, and Go, while also covering universal distributed system patterns like Circuit Breakers and retry logic with exponential backoff. Whether you are building resilient APIs, debugging production issues, or improving application reliability, this skill ensures that failures are handled gracefully and provide actionable diagnostic data.

주요 기능

Standardized custom exception and error hierarchy design
Implementation of explicit Result and Option types for safer code
Language-specific patterns for Python, TypeScript, Rust, and Go
3 GitHub stars
Distributed system patterns including Circuit Breakers
Advanced retry logic with exponential backoff and jitter

사용 사례

Refactoring legacy code for improved error reporting and observability
Implementing fault-tolerant integrations with unstable third-party services
Building resilient production APIs and backend services

소개

주요 기능

Standardized custom exception and error hierarchy design
Implementation of explicit Result and Option types for safer code
Language-specific patterns for Python, TypeScript, Rust, and Go
3 GitHub stars
Distributed system patterns including Circuit Breakers
Advanced retry logic with exponential backoff and jitter

사용 사례

Refactoring legacy code for improved error reporting and observability
Implementing fault-tolerant integrations with unstable third-party services
Building resilient production APIs and backend services