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Code Migration
Development
Strategies and patterns for safe code migrations and framework upgrades. Covers version upgrade strategies, automated codemods, incremental migration patterns, and rollback strategies.
UV Package Manager
Development
Master uv, an ultra-fast Python package manager written in Rust, for efficient dependency management and virtual environments in modern Python projects.
Dartboard Rendering
Development
Implementation and best practices for dartboard rendering with p5.js. Covers drawing order, layering, and coordinate system management.
Simple URL Fetch
Development
Basic MCP skill demonstrating CLI-based execution pattern for fetching URL content. Perfect for learning skill fundamentals.
Umbraco Entity Create Option Action
Development
Implement custom entity create option actions in Umbraco backoffice. Extend creation workflows with customizable options, modals, and navigation for enhanced user experience.
Deepgram SDK Patterns
Development
Production-ready patterns for Deepgram SDK integration in TypeScript and Python. Includes robust error handling, response validation, and exponential backoff retry logic.
Wget URL Reader
Development
Fetches content from URLs using wget command-line tool. Downloads files, reads web pages, and retrieves API responses.
Claude Code Slash Commands
Development
Create and use custom commands with `/command-name` syntax to execute prompts, bash commands, and file references in Claude Code.
Godot Navigation & AI
Development
Implements AI navigation and pathfinding using NavigationServer, behavior systems, and steering behaviors for intelligent NPC movement.
Kotlin and Android Development
Development
Develop Android applications in Kotlin following best practices. Covers Jetpack Compose, coroutines, state management, and Gradle configuration.
Lemline Runner Development Guide
Development
Comprehensive development guide for the modular lemline-runner ecosystem with Quarkus/Kotlin architecture, messaging patterns, and feature modules for workflow capabilities.
Refactor Jupyter Notebooks
Development
Programmatically analyze and batch modify Jupyter Notebook (.ipynb) files by replacing specific import statements, function calls, or code blocks.