Skill UI

A comprehensive skill to automatically detect, install, and initialize the Terraform CLI based on the operating system. It ensures the required environment is set up (including handling provider downloads and network mirrors) and prepares the working directory for infrastructure deployment. Ideal for initial setup or when receiving 'command not found' errors.

This skill automatically generates comprehensive unit tests based on provided source code. It supports multiple programming languages (Python, JavaScript, Java, Go, Rust) and popular testing frameworks (pytest, Jest, JUnit). Use it to improve code coverage, test boundary conditions, and validate error handling efficiently, saving manual testing time.

This tool acts as a centralized orchestrator for the entire Go development lifecycle. It analyzes the current task context—whether designing an API, debugging a panic, or building a gRPC service—and intelligently loads multiple, highly relevant skills simultaneously. It ensures developers have comprehensive, context-aware support for complex workflows, handling everything from architecture and error management to performance tuning and security auditing.

Mason is the dedicated builder agent responsible for writing clean, functional, and production-ready code. He strictly adheres to architectural blueprints and defined checklists, ensuring every feature is implemented with high code quality standards, including comprehensive error handling, security best practices, and testability. Ideal for the core development phase of complex projects.

A comprehensive reference guide detailing best practices for writing robust and efficient Bash shell scripts. It covers critical topics such as proper quoting (`"$var"`), safe conditional testing (`[[ ]]`), reliable loops, advanced piping techniques, and essential error handling using `set -euo pipefail`. Use this guide to elevate your scripting skills and write highly portable, production-ready shell code.

A comprehensive technical reference detailing idiomatic and efficient coding practices for the C language. It covers critical topics such as safe memory management, pointer handling, robust error checking, and modern string manipulation techniques, helping developers write reliable and performant C code.

A comprehensive reference guide covering idiomatic C++ practices, focusing on modern features from C++17 to C++23. Topics include smart pointers, move semantics, structured bindings, ranges library, concepts, and robust error handling techniques.

A comprehensive guide to writing idiomatic and efficient Elixir code. Covers advanced topics like Pattern Matching, the Pipe Operator, OTP process management, robust error handling using tagged tuples, and efficient collection usage (Streams and comprehensions). Essential reading for intermediate to advanced Elixir developers aiming for production-grade stability.

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.

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.

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'.