Development

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.

Secure storage, rotation, and delivery of secrets (API keys, database credentials, TLS certificates) for applications and infrastructure.

Apply comprehensive cloud resource tagging strategies to enable cost allocation, ownership tracking, compliance enforcement, and infrastructure automation across multi-cloud environments.

This skill implements comprehensive feedback and notification systems that enhance all other component skills by providing consistent patterns for communicating system state, displaying messages, and handling user confirmations.

Design and optimize prompts for large language models (LLMs) to achieve reliable, high-quality outputs across diverse tasks.

Design and implement Internal Developer Platforms (IDPs) with self-service capabilities, golden paths, and developer experience optimization. Covers platform strategy, IDP architecture (Backstage, Port), infrastructure orchestration (Crossplane), GitOps (Argo CD), and adoption patterns. Use when building developer platforms, improving DevEx, or establishing platform teams.

Design and implement disaster recovery strategies with RTO/RPO planning, database backups, Kubernetes DR, cross-region replication, and chaos engineering testing. Use when implementing backup systems, configuring point-in-time recovery, setting up multi-region failover, or validating DR procedures.

When validating system performance under load, identifying bottlenecks through profiling, or optimizing application responsiveness. Covers load testing (k6, Locust), profiling (CPU, memory, I/O), and optimization strategies (caching, query optimization, Core Web Vitals). Use for capacity planning, regression detection, and establishing performance SLOs.