Does it handle modern Ruby concurrency?

Yes, the skill provides patterns for various concurrency models including Threads, Concurrent Ruby thread pools, Fibers, and Ruby 3.0+ Ractors.

How does it improve my Ruby code quality?

By enforcing 'Rubyish' idioms like symbol-to-proc, lazy evaluation, and the Enumerable API, ensuring your code is both efficient and readable.

Does this skill support Ruby on Rails?

Yes, while focusing on core Ruby, it includes patterns for ActiveRecord associations, Rails-style service objects, and RSpec testing commonly used in Rails environments.

Can it help with Ruby metaprogramming?

Absolutely. It covers dynamic method definition, method_missing, and instance_eval to help you create flexible DSLs and dynamic proxies.

Ruby Programming Patterns

Name: Ruby Programming Patterns
Author: miles990

bymiles990

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API Development

Implements idiomatic Ruby code, advanced metaprogramming, and efficient backend logic using modern Ruby patterns.

About

This Claude Code skill provides comprehensive guidance for Ruby development, covering everything from core object-oriented principles and idiomatic Enumerable usage to advanced metaprogramming and concurrency models. It enables Claude to generate production-ready Ruby code that follows best practices for class design, error handling, and RSpec testing, making it an essential tool for developers building scalable Rails applications or standalone Ruby gems. Whether you need to implement a complex DSL or optimize data processing with lazy enumerables, this skill ensures the output is clean, maintainable, and 'Rubyish.'

Key Features

Idiomatic Ruby class and module design including mixins and inheritance
Advanced functional patterns using blocks, procs, and lambdas
1 GitHub stars
Dynamic metaprogramming techniques for flexible and expressive codebases
Comprehensive RSpec testing structures for models, services, and mocks
Robust error handling and custom exception management patterns

Use Cases

Building and scaling Ruby on Rails backend applications
Implementing high-performance concurrent processes using Fibers or Ractors
Developing reusable Ruby gems with dynamic behavior via metaprogramming

About

Key Features

Idiomatic Ruby class and module design including mixins and inheritance
Advanced functional patterns using blocks, procs, and lambdas
1 GitHub stars
Dynamic metaprogramming techniques for flexible and expressive codebases
Comprehensive RSpec testing structures for models, services, and mocks
Robust error handling and custom exception management patterns

Use Cases

Building and scaling Ruby on Rails backend applications
Implementing high-performance concurrent processes using Fibers or Ractors
Developing reusable Ruby gems with dynamic behavior via metaprogramming