claude-code-skills

Expert guidance for algorithmic trading and quantitative research. Use when developing trading strategies, backtesting, building trading systems, or conducting quantitative analysis.

Comprehensive machine learning guidance covering ML algorithms, deep learning, model training, evaluation, deployment, MLOps, and production best practices. Use when building ML models, training neural networks, implementing ML pipelines, or deploying ML systems to production.

Expert Python programming guidance covering modern best practices, design patterns, testing, type hints, and performance optimization. Use when writing Python code, refactoring, debugging, or implementing Python projects.

Comprehensive software engineering practices covering system design, architecture patterns, SOLID principles, clean code, testing strategies, CI/CD, and development workflows. Use when designing systems, reviewing code, implementing best practices, or planning software architecture.