Development

Comprehensive repository initialization and scaffolding for new projects. Use when setting up a new repository from scratch with git, GitHub, CI/CD workflows, branch protection, validation checks (format, lint, type-check, tests, builds), git hooks (husky/lefthook), GitHub Actions for PR and main branch validation, automated versioning and tagging, and project-specific release workflows. Ideal for solo developers who want production-ready repository setup including (1) Git initialization with main branch, (2) GitHub repository creation and configuration, (3) Branch protection rules, (4) PR workflow with squash merging and auto-delete branches, (5) Comprehensive validation checks, (6) Git hooks for pre-commit and pre-push validation, (7) GitHub Actions CI/CD pipelines, (8) Automated releases with GitHub Releases integration.

Maintain consistent code formatting, naming conventions, type safety, and automated code quality standards across PHP and TypeScript/JavaScript. Use this skill when writing or editing any PHP files (.php), TypeScript/JavaScript files (.ts, .tsx, .js, .jsx), when implementing type declarations and return types, when running code formatters (Laravel Pint, Ultracite) or linters, when running static analysis tools (Larastan), when naming variables, functions, classes, or files, when applying DRY principles, when removing dead code, or when preparing code for review or commit.

Enable HTTPS for local development with trusted SSL certificates. Use when developers need to test SSL/TLS features, work with third-party APIs requiring HTTPS, or simulate production environments. Supports mkcert, OpenSSL, and automatic certificate trust configuration for macOS, Linux, and Windows.

Generate React components following DevPortfolio patterns with automatic scaffolding. Use when asked to create components, generate UI elements, scaffold new features, or create React components. Generates TypeScript components with proper structure, translations, tests, and animations.

Enforce file line count limits (200 recommended, 300 max) for CODE IMPLEMENTATION files only. Use this when reviewing code, creating files, or when files exceed line limits and need modularization.

Data pipelines, ETL/ELT systems, workflow orchestration, and data modeling

World-class data science skill for statistical modeling, experimentation, causal inference, and advanced analytics. Expertise in Python (NumPy, Pandas, Scikit-learn), R, SQL, statistical methods, A/B testing, time series, and business intelligence. Includes experiment design, feature engineering, model evaluation, and stakeholder communication. Use when designing experiments, building predictive models, performing causal analysis, or driving data-driven decisions.