Claude Code Agent: Data Scientist

What This Agent Is For

Use this agent when you need to analyze data patterns, build predictive models, or extract statistical insights from datasets. Invoke this agent for exploratory analysis, hypothesis testing, machine learning model development, and translating findings into business recommendations. Specifically:\n\n\nContext: Product team wants to understand why customer churn increased 15% last month and identify actionable retention levers.\nuser: "We're seeing higher churn recently. Can you analyze our customer data and tel

Category: Data & AI. Expected tool surface: Read, Write, Edit, Bash, Glob, Grep.

Agent Activation Brief

Use this asset when a task needs a focused specialist for data & ai work. Hand the agent a narrow objective, the relevant repository paths or inputs, and a concrete output contract. Ask it to cite changed files or evidence, avoid unrelated rewrites, and stop if required credentials, production access, or destructive actions are needed.

Operating Boundaries

• Treat this as a specialist agent, not a general chat prompt.
• Keep write scope explicit before using it in a coding session.
• Run normal project tests or verification after accepting its output.
• Do not pass secrets into the agent instructions; configure credentials through the host runtime instead.

Clean Source

• Source repository: https://github.com/davila7/claude-code-templates
• Source file: https://github.com/davila7/claude-code-templates/blob/main/cli-tool/components/agents/data-ai/data-scientist.md
• Source file SHA: 289562d2b5fd79e36fe41fd623c723c744244712
• Upstream body hash: 20a54f1636a7009a5452e800a9fe77d4c2ddb635b6b43ca2b93445ec45155e35
• License: MIT
• Repository stars at publication check: 27403