How does this skill improve debugging?

It provides strategies for creating structured error messages, custom exception hierarchies, and error wrapping to preserve stack trace context.

Which programming languages are supported by this skill?

The skill provides specific implementation patterns and best practices for Python, TypeScript/JavaScript, Rust, and Go.

Does this skill help with distributed systems?

Yes, it includes universal patterns like Circuit Breakers and Exponential Backoff designed to prevent cascading failures in distributed environments.

What is the benefit of the Result type pattern included in this skill?

The Result type pattern makes error handling explicit in the code's control flow, reducing unhandled exceptions and improving type safety.

Error Handling Patterns

Name: Error Handling Patterns
Author: HermeticOrmus

byHermeticOrmus

Security & Testing

Implements robust error handling strategies and resilient architectural patterns across multiple programming languages.

About

This skill equips Claude with specialized knowledge to build fault-tolerant applications by applying industry-standard error handling patterns. It provides language-specific implementation guides for Python, TypeScript, Rust, and Go, covering everything from custom exception hierarchies and Result types to advanced distributed system patterns like Circuit Breakers. By using this skill, developers can ensure their code gracefully handles failures, prevents cascading errors, and provides clear, actionable debugging information for both users and maintainers.

Key Features

Language-specific patterns for Python, TypeScript, Rust, and Go
0 GitHub stars
Standardized custom exception hierarchies and error wrapping
Advanced resilience patterns including Circuit Breakers and Retry logic
Strategies for differentiating recoverable vs. unrecoverable errors
Implementation of Result and Option types for explicit error handling

Use Cases

Refactoring legacy code to include better recovery mechanisms and logging
Building fault-tolerant distributed systems with exponential backoff
Designing resilient APIs that provide consistent and clear error responses

About

Key Features

Language-specific patterns for Python, TypeScript, Rust, and Go
0 GitHub stars
Standardized custom exception hierarchies and error wrapping
Advanced resilience patterns including Circuit Breakers and Retry logic
Strategies for differentiating recoverable vs. unrecoverable errors
Implementation of Result and Option types for explicit error handling

Use Cases

Refactoring legacy code to include better recovery mechanisms and logging
Building fault-tolerant distributed systems with exponential backoff
Designing resilient APIs that provide consistent and clear error responses