Does this skill include cloud-specific patterns?

Yes, it includes specialized patterns for AWS environments, including DynamoDB composite key design and configuration management using AWS Systems Manager (SSM) Parameter Store.

How does the skill handle Go error management?

It follows best practices such as wrapping errors with context, utilizing errors.Is and errors.As for type checking, and ensuring errors are handled exactly once to prevent log duplication.

Which Go libraries does this skill help implement?

This skill provides specific implementation patterns for popular Go libraries including Chi for routing, Resty for HTTP requests, Ozzo-validation for struct checks, and Samber/lo for collection utilities.

What is the recommended use for the 'Must' pattern in this skill?

The 'Must' pattern is strictly recommended for use in application entry points like the cmd/ directory or internal apps to ensure the service fails fast if critical configurations are missing.

Go Service Implementation Patterns

Name: Go Service Implementation Patterns
Author: cemezgin

bycemezgin

API Development

Implements production-grade Go design patterns including functional options, error handling, and standardized service architectures.

About

The Patterns skill provides a comprehensive blueprint for building robust Go services by standardizing common implementation strategies. It equips Claude with the knowledge to apply functional options for configurable constructors, implement the 'Must' pattern for fail-fast initializations, and deploy caching decorators. Beyond basic structure, it provides specific guidance on error wrapping, environment-based configuration management (including AWS SSM), and resilient HTTP client configurations with built-in retries and tracing. This skill is essential for teams looking to maintain high code quality and architectural consistency across Go-based microservices.

Key Features

0 GitHub stars
Functional options for flexible, type-safe constructor configuration
Pre-configured HTTP client patterns with retries and exponential backoff
Optimized DynamoDB composite key and GSI design patterns
Environment-aware configuration management for JSON and AWS SSM
Standardized error handling with context wrapping and Is/As checks

Use Cases

Designing resilient cloud-native data access layers and HTTP communication modules
Bootstrapping a new Go microservice with standardized boilerplate and library integrations
Refactoring existing Go code to implement consistent error handling and logging strategies

About

Key Features

0 GitHub stars
Functional options for flexible, type-safe constructor configuration
Pre-configured HTTP client patterns with retries and exponential backoff
Optimized DynamoDB composite key and GSI design patterns
Environment-aware configuration management for JSON and AWS SSM
Standardized error handling with context wrapping and Is/As checks

Use Cases

Designing resilient cloud-native data access layers and HTTP communication modules
Bootstrapping a new Go microservice with standardized boilerplate and library integrations
Refactoring existing Go code to implement consistent error handling and logging strategies