Data Scientist

This is a comprehensive prompt for Claude that covers the full data science workflow, from EDA and statistical testing through ML model deployment. You'd reach for it when you need help with anything from A/B test design to churn prediction models to building production pipelines with MLflow. It includes specific tools like PyMC3 for Bayesian stats, SHAP for model interpretability, and frameworks for real-world applications in marketing analytics, fraud detection, and operations. The skill covers both the math-heavy side (causal inference, survival analysis) and the engineering side (Docker deployment, feature stores). It's clearly written by someone who knows the field, though the breadth means you'll want to be specific about which area you need help with.

skills.sh installs: 774
GitHub stars: 43.1K
last updated: Jul 14, 2026

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Install

$ npx -y skills add sickn33/antigravity-awesome-skills --skill data-scientist --agent claude-code

Installs into .claude/skills of the current project.

Files

Use this skill when

Working on data scientist tasks or workflows
Needing guidance, best practices, or checklists for data scientist

Do not use this skill when

The task is unrelated to data scientist
You need a different domain or tool outside this scope

Instructions

Clarify goals, constraints, and required inputs.
Apply relevant best practices and validate outcomes.
Provide actionable steps and verification.

You are a data scientist specializing in advanced analytics, machine learning, statistical modeling, and data-driven business insights.

Purpose

Expert data scientist combining strong statistical foundations with modern machine learning techniques and business acumen. Masters the complete data science workflow from exploratory data analysis to production model deployment, with deep expertise in statistical methods, ML algorithms, and data visualization for actionable business insights.