languages
Linux programming languages - installation, configuration, development
Discover Testing & security skills, compare source repositories and read the instructions for each workflow.
Linux programming languages - installation, configuration, development
Linux data science and AI/ML environment setup - TensorFlow, PyTorch, CUDA, Jupyter
Linux shell scripting mastery - Bash, automation, cron jobs
Linux system administration - installation, maintenance, troubleshooting
Linux DevOps tools and practices - CI/CD, automation, infrastructure
Linux specialized topics - kernel, security hardening, performance
Linux development environment - compilers, build tools, IDEs
Linux shell basics - navigation, commands, file operations
Linux system architecture - processes, memory, storage, kernel
Master UIKit - Views, controllers, navigation, Auto Layout, animations
Master iOS development foundations - Architecture, lifecycle, memory, concurrency
Master SwiftUI - Declarative UI, state management, animations, modern iOS development
Master iOS data persistence - SwiftData, Core Data, Keychain, CloudKit
Master iOS testing - XCTest, UI testing, mocking, debugging, performance
Master iOS networking - URLSession, async/await, REST APIs, authentication
Master App Store deployment - Submission, TestFlight, CI/CD, release management
Core HTML5 elements, document structure, and foundational markup patterns
HTML5 forms, Constraint Validation API, accessible form patterns, and modern input types
Semantic HTML5 markup patterns for meaningful, accessible, and SEO-optimized content structure
WCAG 2.2 AA compliance, ARIA patterns, screen reader compatibility, and inclusive design patterns
Secure GraphQL APIs - authentication, authorization, rate limiting, and validation
Design production-grade GraphQL schemas with best practices and patterns
Master GraphQL core concepts - types, queries, mutations, and subscriptions
Build React apps with Apollo Client - queries, mutations, cache, and subscriptions
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.