This skill provides expert-level data science assistance including statistical analysis, machine learning, and data visualization. It helps developers with tasks like data cleaning, model building, and creating plots using Python libraries like pandas and matplotlib. Use it when you need guidance on EDA, statistical modeling, or visualizing complex datasets.

This Claude Skill helps developers optimize AI usage efficiency by promoting script-first patterns, batch operations, and prepared input files. It provides effectiveness ratings for different approaches, emphasizing execution over description to maximize productivity. Use it when you need to reduce AI interaction time and get more actionable, automated outputs from Claude.

This skill provides automated model selection guidance for Claude Code based on task complexity, cost, and latency needs. It offers a decision tree and quick reference table to help developers choose between Opus, Sonnet, and Haiku models efficiently. Use it when starting new tasks to optimize performance and resource usage.

This reference skill provides a quick comparison table of AI providers (Claude models, Codex, Gemini) with their strengths and ideal use cases. It helps developers optimize agent usage by selecting the most suitable provider for tasks like architecture, coding, or bulk data processing. Use it to make informed decisions on model selection based on task requirements and constraints like quota and cost.