Skill UI

A comprehensive guide to writing idiomatic and efficient Go code. It covers best practices for error handling (using `%w`), managing slices and maps, implementing robust concurrency with goroutines and channels, designing small composable interfaces, and avoiding common anti-patterns. Essential for improving code quality in Go projects.

This comprehensive guide outlines modern and idiomatic Java best practices. It covers advanced topics like Streams, Optional, Records, and Pattern Matching, while detailing anti-patterns and efficient ways to handle concurrency and error management in contemporary Java development.

A comprehensive guide detailing idiomatic and efficient coding practices for Kotlin, covering modern features like null safety, functional collections, coroutines, and Jetpack Compose UI development. Learn to write clean, concise, and robust Kotlin code.

This skill provides a demonstration of interacting with external APIs and services using various command-line tools (CLI). It showcases core automation patterns, including fetching API documentation details and listing messages using specific application CLIs, making it ideal for testing and learning API integration flows.

A sophisticated automated loop that uses vision or video models to evaluate subjective aesthetic quality (e.g., timing, color grade, layout). Instead of relying on numeric metrics, the system renders multiple parameterized variants into one artifact, asks the AI to rate them, and suggests optimal values, repeating the process until convergence. Ideal for design iteration where human judgment is the primary success criteria.

This skill guides users through expert offer construction, focusing on improving the foundational value proposition rather than just optimizing copy. Learn to master the Value Equation (Dream Outcome, Likelihood, Time Delay, Effort/Sacrifice) and structure a complete offer using key components like bonus stacking, robust guarantees, urgency creation, and ideal payment models. Ideal for services, coaching, courses, and high-ticket B2B direct response sales.

A comprehensive reference guide detailing modern and idiomatic PHP coding standards. It covers best practices across various topics, including type safety (strict typing, union types), object-oriented programming (constructor promotion, enums, match expressions), efficient array handling, robust error handling (exceptions), and modern string manipulation functions. Ideal for developers looking to upgrade legacy PHP code to modern, clean, and performant standards.

A comprehensive playbook for optimizing the entire lifecycle of pull requests. It guides developers through systematic pre-flight cleanup, critical self-audits, local test verification, and structuring high-signal PR descriptions to ensure code quality and fast maintainer approval.

This guide serves as a comprehensive reference for writing idiomatic, efficient, and modern Python code. It covers best practices for comprehensions, context managers, error handling (EAFP), data class usage, type hinting, and avoiding common anti-patterns, helping developers write cleaner, more robust, and truly 'Pythonic' code.

A comprehensive reference guide detailing idiomatic and efficient coding practices in Ruby. It covers essential topics such as using Enumerable methods (map, select), modern string handling, robust error management, and proper module/class structuring. By adhering to these guidelines, developers can write cleaner, less verbose, and highly performant code that truly feels 'Ruby-like'.

This comprehensive guide details idiomatic best practices for writing high-performance, safe code in Rust. It covers advanced topics such as understanding Ownership and Borrowing rules, robust error handling using the '?' operator, optimizing functional programming with Iterators, implementing structured concurrency, and defining robust data models with Structs and Enums.

This comprehensive guide details the idiomatic and efficient way to write Scala code. It covers crucial modern practices, such as utilizing functional transforms over traditional loops, embracing pattern matching, using Option/Either for robust error handling instead of null checks or exceptions, and managing concurrency safely. Essential reading for any Scala developer aiming for high-quality, maintainable, and performant codebases.