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Found 457 Skills
Diagnose and fix runtime issues, errors, and bugs through systematic reproduction, root cause analysis, and targeted fixes. Use for debugging production issues, test failures, performance problems, and any type of software defect.
Python code security analysis, performance optimization, and maintainability assessment
Production patterns for managing complex application state in React without Redux, Zustand, or other state libraries. Includes multi-stage loading, command patterns, refs for performance, and parallel data fetching. Use when building complex UIs with interconnected states, need loading stages and progress tracking, or implementing command patterns.
Optimizes Python library performance through profiling (cProfile, PyInstrument), memory analysis (memray, tracemalloc), benchmarking (pytest-benchmark), and optimization strategies. Use when analyzing performance bottlenecks, finding memory leaks, or setting up performance regression testing.
Animation patterns for Astro sites. Scroll animations, micro-interactions, transitions, loading states. Performance-focused, accessibility-aware.
Common mistakes, performance pitfalls, and store rejection reasons in browser extension development
Write, review, or improve SwiftUI code following best practices for state management, view composition, performance, and modern APIs. Use when building SwiftUI features, refactoring views, reviewing code quality, or adopting modern SwiftUI patterns.
Multi-language Workers development with Rust, Python, and WebAssembly. Use when building Workers in languages other than JavaScript/TypeScript, or when integrating WASM modules for performance-critical code.
TextMeshPro (TMPro) expert for Unity text rendering with advanced typography, performance optimization, and professional text effects. Masters font asset creation, dynamic fonts, rich text formatting, material presets, and text mesh optimization. Use PROACTIVELY for text rendering, font management, localization text, UI text performance, or text effects implementation.
Build this skill automates the adaptation of pre-trained machine learning models using transfer learning techniques. it is triggered when the user requests assistance with fine-tuning a model, adapting a pre-trained model to a new dataset, or performing... Use when appropriate context detected. Trigger with relevant phrases based on skill purpose.
Use this when the user asks about performance, slowness, optimization, or wants to make code more efficient. Focus on hot paths, unnecessary work, and algorithmic complexity.
Designs types for performance. struct vs class, sealed, readonly struct, Span/Memory, collections.