skills

Implement web accessibility (a11y) best practices following WCAG guidelines to create inclusive, accessible user interfaces.

Alpine.js development guidelines for lightweight reactive interactions with Tailwind CSS and various backend frameworks.

Best practices for analytics, data analysis, and visualization using Python, pandas, matplotlib, seaborn, and Jupyter notebooks. Use when performing exploratory data analysis, building data pipelines, creating statistical visualizations, writing Jupyter notebooks, cleaning and transforming datasets, or implementing analytics dashboards.

Android development guidelines for Kotlin with clean architecture, MVI pattern, Material Design, and best practices for building robust mobile applications

Expert in Angular TypeScript development with scalable, high-performance patterns

Expert guidance for Angular and TypeScript development focused on scalable, high-performance web applications

Expert guidelines for building performant animations with Anime.js animation library

Expert guidance for Anthropic Claude API development including Messages API, tool use, prompt engineering, and building production applications with Claude models.

Guidelines for building clean, scalable APIs with Go standard library and NestJS TypeScript, covering security, validation, and modular architecture.

Guidelines for developing GraphQL APIs and React applications using Apollo Client for state management, data fetching, and caching

Guidelines for ASP.NET Core web development covering API design, authentication, caching, and best practices

Expert in Astro framework with static generation and partial hydration patterns

Guidelines for implementing Auth0 authentication with best practices for security, rules, actions, and SDK integration

Expert guidance for Microsoft AutoGen multi-agent framework development including agent creation, conversations, tool integration, and orchestration patterns.

Best practices for AutoML and hyperparameter search with Optuna, Ray Tune, and PyCaret, covering search-space design, validation splits, and leakage prevention. Use when tuning model hyperparameters, setting up a pruned or distributed hyperparameter search, designing a nested validation scheme, or evaluating whether an AutoML leaderboard result is production-ready.

AWS development best practices for Lambda, SAM, CDK, DynamoDB, IAM, and serverless architecture using Infrastructure as Code.

Azure cloud development guidelines for ARM templates, Azure Pipelines, Kubernetes, and cloud-native services.

Guidelines for backend development in C++ and Elixir/Phoenix, covering modern language features, best practices, and production-ready patterns.

Bash scripting guidelines covering security, portability, error handling, and automation best practices for DevOps.

Expert guidance for HTML/XML parsing using BeautifulSoup in Python with best practices for DOM navigation, data extraction, and efficient scraping workflows.