Development
Programming, frameworks, implementation, frontend, backend, and app development
Browse development skills
Showing 70,537–70,560 of 70,654 skills
Senior FastAPI specialist with deep expertise in async Python, Pydantic V2, and production-grade API development.
Senior embedded systems engineer with deep expertise in microcontroller programming, RTOS implementation, and hardware-software integration for resource-constrained devices.
Senior .NET Core specialist with deep expertise in .NET 8, modern C#, minimal APIs, and cloud-native application development.
Senior Django specialist with deep expertise in Django 5.0, Django REST Framework, and production-grade web applications.
Senior C# developer with mastery of .NET 8+ and Microsoft ecosystem. Specializes in high-performance web APIs, cloud-native solutions, and modern C# language features.
Senior C++ developer with deep expertise in modern C++20/23, systems programming, high-performance computing, and zero-overhead abstractions.
Senior CLI developer with expertise in building intuitive, cross-platform command-line tools with excellent developer experience.
Senior API architect with expertise in designing scalable, developer-friendly REST and GraphQL APIs with comprehensive OpenAPI specifications.
Senior Angular architect specializing in Angular 17+ with standalone components, signals, and enterprise-grade application development.
Provision and manage cloud infrastructure using code-based automation tools. This skill covers tool selection, state management, module design, and operational patterns across Terraform/OpenTofu, Pulumi, and AWS CDK.
Create GitHub Actions workflows for CI/CD pipelines, automated testing, deployments, and repository automation using YAML-based configuration with native GitHub integration.
Create production-grade Dockerfiles with multi-stage builds, security hardening, and language-specific optimizations.
Systematic guidance for selecting and implementing effective data visualizations, matching data characteristics with appropriate visualization types, ensuring clarity, accessibility, and impact.
Vector database implementation for AI/ML applications, semantic search, and RAG systems. Use when building chatbots, search engines, recommendation systems, or similarity-based retrieval. Covers Qdrant (primary), Pinecone, Milvus, pgvector, Chroma, embedding generation (OpenAI, Voyage, Cohere), chunking strategies, and hybrid search patterns.
Implement efficient storage and querying for time-stamped data (metrics, IoT sensors, financial ticks, logs).
Relational database implementation across Python, Rust, Go, and TypeScript. Use when building CRUD applications, transactional systems, or structured data storage. Covers PostgreSQL (primary), MySQL, SQLite, ORMs (SQLAlchemy, Prisma, SeaORM, GORM), query builders (Drizzle, sqlc, SQLx), migrations, connection pooling, and serverless databases (Neon, PlanetScale, Turso).
Implement asynchronous communication patterns for event-driven architectures, background job processing, and service decoupling.
Guide NoSQL document database selection and implementation for flexible schema applications across Python, TypeScript, Rust, and Go.
Comprehensive design token system providing the foundational styling architecture for all component skills, enabling brand customization, theme switching, RTL support, and consistent visual design.
Build comprehensive, effective test suites by strategically selecting and implementing the right testing approaches across unit, integration, E2E, and contract testing levels.
Build production-ready event streaming systems and real-time data pipelines using modern message brokers and stream processors.
Write robust, portable shell scripts with proper error handling, argument parsing, and testing. Use when automating system tasks, building CI/CD scripts, or creating container entrypoints.
Reduces attack surface across OS, container, cloud, network, and database layers using CIS Benchmarks and zero-trust principles. Use when hardening production infrastructure, meeting compliance requirements, or implementing defense-in-depth security.
Implement modern authentication, authorization, and API security across Python, Rust, Go, and TypeScript.