data-ai-guide
Comprehensive data science, machine learning, and AI guide covering Python, deep learning, NLP, LLMs, prompt engineering, and MLOps. Use when building AI models, data pipelines, or machine learning systems.
Discover Testing & security skills, compare source repositories and read the instructions for each workflow.
Comprehensive data science, machine learning, and AI guide covering Python, deep learning, NLP, LLMs, prompt engineering, and MLOps. Use when building AI models, data pipelines, or machine learning systems.
Comprehensive guide for skill assessment, career evaluation, learning paths, knowledge testing, and professional development. Use when assessing technical skills, planning learning journeys, or evaluating caree...
Master plugin testing, quality assurance, and validation. Learn unit testing, integration testing, and how to ensure plugin quality.
Master plugin performance optimization, best practices, and marketplace readiness. Learn to optimize for speed, efficiency, and user satisfaction.
Comprehensive software architecture and system design guide covering design patterns, distributed systems, scalability, microservices, and architectural principles. Use when designing systems, solving architect...
Master plugin user experience design, command workflows, and interaction patterns. Create intuitive, user-friendly plugin interfaces.
Master writing plugins including agent implementation, skill creation, command development, and hook scripting. Learn best practices for plugin coding.
Master plugin folder structure, manifest design, and architectural patterns. Learn to organize plugins for scalability and maintainability.
Comprehensive DevOps and infrastructure guide covering Docker, Kubernetes, AWS, Terraform, CI/CD pipelines, Linux, and cloud deployment strategies. Use when setting up infrastructure, automation, or deployment...
Complete backend development guide covering Node.js, Python, Go, Java, PHP, databases, APIs, authentication, and server architecture. Use when building server applications, APIs, or backend systems.
Comprehensive mobile development guide for iOS, Android, React Native, and Flutter. Includes Swift, Kotlin, and cross-platform frameworks. Use when building mobile applications, iOS, Android, or cross-platform...
Comprehensive frontend development guide covering HTML, CSS, JavaScript, TypeScript, React, Vue, Angular, and modern web technologies. Use when working on frontend development, web applications, or UI/UX implem...
Master Flexbox and CSS Grid layouts for modern responsive design
Build with Tailwind CSS utility-first framework - configuration, customization, best practices
Use modern CSS features - custom properties, container queries, :has(), @layer, CSS nesting
Optimize CSS performance - critical CSS, code splitting, purging, bundle analysis
Use Sass/SCSS for advanced CSS preprocessing with modern @use/@forward syntax
Implement scalable CSS architecture patterns - BEM, SMACSS, ITCSS, design tokens
CSS fundamentals - selectors, specificity, box model, positioning, units
Create performant CSS animations, transitions, and motion design
Understand computer systems from digital logic through operating systems, networks, databases, and distributed systems.
Master algorithm design, common patterns, optimization techniques, and problem-solving strategies. Learn to solve any computational challenge efficiently.
Master discrete mathematics, logic, formal proofs, and computational thinking. Build the mathematical foundation for all computer science.
Master selection and implementation of data structures. Learn when to use arrays, lists, trees, graphs, heaps, and hash tables for optimal performance.
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.