Skill UI

This module provides the core `Logger` abstraction for structured logging within the Webiny API context. It supports multiple logging levels (e.g., debug, info, warn, error), ensuring that developers can record application events and operational data systematically. Using this abstraction helps in centralized logging, which is crucial for debugging, monitoring, and maintaining system health.

A comprehensive guide for developers on deploying, developing locally, and managing environments for Webiny serverless platform on AWS. Learn how to use `yarn webiny deploy` for multi-environment releases (dev, staging, prod), and how to leverage `yarn webiny watch` for local API (Lambda stubs) and Admin (React HMR) development, ensuring full-stack debugging capabilities.

XcodeBuildMCP is a unified skill set designed to streamline the entire mobile and desktop development lifecycle. It replaces raw command-line tools like xcodebuild, xcrun, and simctl, providing structured workflows for iOS, macOS, watchOS, tvOS, and visionOS. Capabilities include project discovery, managing simulator and physical device workflows, advanced UI automation (gestures, view inspection), robust logging, and deep debugging using LLDB. It simplifies complex build, test, and run operations across multiple platforms.

A comprehensive guide for writing, debugging, and maintaining Windows batch files (.bat/.cmd). This skill covers advanced CMD scripting techniques, including environment variable management, complex control flow (IF, FOR), argument parsing, delayed expansion, and command chaining. Ideal for automating system tasks, creating command-line utilities (CLI), managing deployments, or writing scheduled task scripts in Windows environments.

Expert assistance for building, modifying, and debugging Minecraft server plugins for the Paper, Spigot, and Bukkit ecosystems. This includes implementing complex gameplay mechanics such as minigames, advanced combat systems, persistent player progression (perks, economy, quests), custom command handling, and robust state management. We handle configuration, listener registration, and adherence to best practices for Java-based server API usage.

Cavecrew provides a set of specialized subagents (investigator, builder, reviewer) designed for efficient code development delegation. Unlike vanilla agents, Cavecrew compresses output results, drastically reducing the token usage injected back into the main context. This allows users to maintain context over much longer, complex coding sessions, effectively preventing context exhaustion during large-scale refactoring, debugging, or multi-step feature development.