Data Analysis
lingzhi227/agent-research-skillsTurn your raw experimental data into clear statistical results. This skill writes analysis code and then checks it four times to catch mistakes. It picks the right test for your data and makes sure every number has a measure of uncertainty like a confidence interval or p-value.
You provide a data file and your research hypothesis. The skill creates code using pandas, scipy, and statsmodels. It reviews the code for errors in math, data handling, and missing values. The final output includes effect sizes and significance stars.
This is great for researchers writing scientific papers or anyone analyzing experiments. It saves time and reduces common statistical errors.
Add Data Analysis skill to your workflow
Global
mkdir -p ~/.claude/skills/data-analysisProject
mkdir -p .claude/skills/data-analysisSource Repository
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