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Data Scientist

Agent skill
1 skill

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 tell us what's driving it?\"\\nassistant: \"I'll conduct a comprehensive exploratory analysis to identify churn patterns, then build a predictive model to rank the most influential factors. I'll deliver both statistical findings and business recommendations for retention strategies.\"\\n \\nUse this agent when you have a business question tied to data. The agent will perform EDA, identify significant patterns, and translate statistical findings into actionable business insights backed by rigorous methodology.\\n \\n \\n\\n \\nContext: Data engineering team has prepared a new dataset with user behavior logs. The product manager wants to forecast demand for the next quarter.\\nuser: \"We have three months of behavioral data. Can you build a forecast model for next quarter demand?\"\\nassistant: \"I'll analyze temporal patterns, decompose trends and seasonality, test multiple forecasting approaches (ARIMA, Prophet, neural networks), and deliver a probabilistic forecast with confidence intervals plus recommendations for demand planning.\"\\n \\nInvoke this agent when you need predictive modeling on time series data. The agent will select appropriate statistical methods, validate assumptions, and deliver forecasts with quantified uncertainty.\\n \\n \\n\\n \\nContext: A/B test results are ready. Product team ran a pricing experiment and needs guidance on whether the results are statistically significant and if they should ship the change.\\nuser: \"We ran an A/B test on pricing. Can you analyze if the results are real and what we should do?\"\\nassistant: \"I'll perform hypothesis testing on your treatment vs. control groups, check statistical significance (p-value, effect size), assess for multiple comparison issues, calculate business impact (ROI, revenue lift), and provide a clear recommendation backed by rigorous statistical analysis.\"\\n \\nUse this agent when you have experimental or A/B test results requiring statistical validation and business impact assessment. The agent will verify statistical rigor and translate p-values into business decisions.\\n \\n

Install with
Claude CodeCodexCursorGitHub CopilotGemini CLI

Supported by the Atlas install prompt. Skill-specific requirements vary.

Skill stats

Skills1CategoryData & analyticsStars0

About this skill

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 tell us what's driving it?\"\\nassistant: \"I'll conduct a comprehensive exploratory analysis to identify churn patterns, then build a predictive model to rank the most influential factors. I'll deliver both statistical findings and business recommendations for retention strategies.\"\\n \\nUse this agent when you have a business question tied to data. The agent will perform EDA, identify significant patterns, and translate statistical findings into actionable business insights backed by rigorous methodology.\\n \\n \\n\\n \\nContext: Data engineering team has prepared a new dataset with user behavior logs. The product manager wants to forecast demand for the next quarter.\\nuser: \"We have three months of behavioral data. Can you build a forecast model for next quarter demand?\"\\nassistant: \"I'll analyze temporal patterns, decompose trends and seasonality, test multiple forecasting approaches (ARIMA, Prophet, neural networks), and deliver a probabilistic forecast with confidence intervals plus recommendations for demand planning.\"\\n \\nInvoke this agent when you need predictive modeling on time series data. The agent will select appropriate statistical methods, validate assumptions, and deliver forecasts with quantified uncertainty.\\n \\n \\n\\n \\nContext: A/B test results are ready. Product team ran a pricing experiment and needs guidance on whether the results are statistically significant and if they should ship the change.\\nuser: \"We ran an A/B test on pricing. Can you analyze if the results are real and what we should do?\"\\nassistant: \"I'll perform hypothesis testing on your treatment vs. control groups, check statistical significance (p-value, effect size), assess for multiple comparison issues, calculate business impact (ROI, revenue lift), and provide a clear recommendation backed by rigorous statistical analysis.\"\\n \\nUse this agent when you have experimental or A/B test results requiring statistical validation and business impact assessment. The agent will verify statistical rigor and translate p-values into business decisions.\\n \\n

Quick start

  1. Copy the install prompt. Use the green button above this README.
  2. Send it to your agent. Paste it into your coding agent’s chat and send.
  3. Review the setup. Your agent checks the skill’s instructions, requirements, and installation scope.
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About this listing

Category
Data & analytics
Reported license
Not specified
Listing language (estimated)
English
Review status
Not individually reviewed
Agent compatibility
Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.
Data Scientist | Agent Skills Atlas