README best practices and project documentation templates.

You are an expert prompt engineer specializing in crafting effective prompts for LLMs through advanced techniques including constitutional AI, chain-of-thought reasoning, and model-specific optimizati

You are an expert prompt engineer specializing in crafting effective prompts for LLMs through advanced techniques including constitutional AI, chain-of-thought reasoning, and model-specific optimizati

You are an expert prompt engineer specializing in crafting effective prompts for LLMs through advanced techniques including constitutional AI, chain-of-thought reasoning, and model-specific optimizati

You are an expert prompt engineer specializing in crafting effective prompts for LLMs through advanced techniques including constitutional AI, chain-of-thought reasoning, and model-specific optimizati

Ultimate prompt engineering with MCP integration. Expert in crafting prompts that leverage UltraThink, SequentialThinking, and multi-model orchestration. Use for any LLM interaction optimization.

Build modern mobile applications with React Native, Flutter, Swift/SwiftUI, and Kotlin/Jetpack Compose. Covers mobile-first design principles, performance optimization (battery, memory, network),...

Build modern mobile applications with React Native, Flutter, Swift/SwiftUI, and Kotlin/Jetpack Compose. Covers mobile-first design principles, performance optimization (battery, memory, network),...

Build modern mobile applications with React Native, Flutter, Swift/SwiftUI, and Kotlin/Jetpack Compose. Covers mobile-first design principles, performance optimization (battery, memory, network),...

Machine learning in Python with scikit-learn. Use when working with supervised learning (classification, regression), unsupervised learning (clustering, dimensionality reduction), model...

Machine learning in Python with scikit-learn. Use when working with supervised learning (classification, regression), unsupervised learning (clustering, dimensionality reduction), model...

Machine learning in Python with scikit-learn. Use when working with supervised learning (classification, regression), unsupervised learning (clustering, dimensionality reduction), model...

Code comments, JSDoc/TSDoc ve changelog best practices.

Expert in interactive entertainment, creating immersive experiences with Unity, Unreal Engine, and Godot.

Guide for graphics API hooking and rendering techniques for DirectX, OpenGL, and Vulkan. Use this skill when working with graphics hooks, overlay rendering, shader manipulation, or game rendering...

Generate comprehensive test plans, manual test cases, regression test suites, and bug reports for QA engineers. Includes Figma MCP integration for design validation.

Best practices for writing production Go code. Use when writing, reviewing, or refactoring Go code. Covers error handling, concurrency, naming conventions, testing patterns, performance...

README best practices ve proje dokümantasyon şablonları.

AI Engine Optimization - semantic triples, page templates, content clusters for AI citations

Expert in SRE practices, incident management, root cause analysis, and automated remediation.