How does this skill help with Ruby performance?

It provides patterns for lazy evaluation and memoization, allowing you to defer expensive computations and cache results to improve execution speed.

Is this skill compatible with modern Ruby versions?

Yes, it covers modern syntax including the stabby lambda (->) and current best practices for Ruby 3.x functional programming.

Can I use this skill to implement design patterns?

Yes, this skill provides specific implementations for the Strategy, Callback, and Memoization patterns using Ruby's functional features.

When should I use the &:symbol syntax?

Use the Symbol to Proc shortcut for simple method calls on collections, such as array.map(&:to_s), to make your code more concise and idiomatic.

What is the main difference between a Proc and a Lambda in Ruby?

The primary differences are argument handling and return behavior. Lambdas are strict about argument count and return control to the caller, while Procs are flexible with arguments and return from the enclosing method.

Ruby Functional Patterns (Blocks, Procs, Lambdas)

Name: Ruby Functional Patterns (Blocks, Procs, Lambdas)
Author: TheBushidoCollective

byTheBushidoCollective

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API 개발

Master Ruby’s functional programming paradigms by implementing blocks, procs, and lambdas with professional patterns.

소개

This skill equips Claude with expert knowledge on Ruby's expressive functional programming features, including closures, higher-order functions, and currying. It guides the development of elegant, idiomatic Ruby code by helping users choose correctly between blocks, procs, and lambdas based on specific argument handling and return behaviors. From implementing custom iterators and the strategy pattern to optimizing performance with lazy evaluation, this skill ensures that functional Ruby code remains maintainable, professional, and free of common pitfalls like scope confusion or memory leaks.

주요 기능

Currying and partial application implementation
39 GitHub stars
Expert implementation of Ruby blocks, procs, and lambdas
Patterns for higher-order functions and functional composition
Advanced closures and variable scoping guidance
Optimization through lazy evaluation and memoization patterns

사용 사례

Implementing flexible callback and strategy patterns in Ruby applications
Optimizing performance-critical code with memoization and lazy loading
Developing expressive DSLs using blocks and method objects

소개

주요 기능

Currying and partial application implementation
39 GitHub stars
Expert implementation of Ruby blocks, procs, and lambdas
Patterns for higher-order functions and functional composition
Advanced closures and variable scoping guidance
Optimization through lazy evaluation and memoization patterns

사용 사례

Implementing flexible callback and strategy patterns in Ruby applications
Optimizing performance-critical code with memoization and lazy loading
Developing expressive DSLs using blocks and method objects