# data-scientist

A Claude Code skill for statistical analysis, machine learning, and data exploration. Use it when a task needs model selection, forecasting, or evidence-based analysis.

- skill · `type=skill` · Claude Code · 385 installs
- Author: davila7
- License: not stated · policy=link-only · description only; the file stays with the author
- Source: https://github.com/davila7/claude-code-templates/tree/HEAD/cli-tool/components/skills/ai-research/data-scientist
- Updated: 2026-10-24
- HTML: https://affpapa.org/en/nevibecode/skills/data-scientist

## What it does

This skill guides data-science work from clarifying the question through analysis and result checks. It covers exploratory analysis, hypothesis tests, experiment design, forecasting, clustering, supervised learning, feature work, and model interpretation.

Its reference stack includes Python tools such as pandas, NumPy, scikit-learn, SciPy, and statsmodels, plus R, SQL, PySpark, and Jupyter notebooks. It also discusses visualisation with matplotlib, seaborn, plotly, and dashboards built with Streamlit, Dash, or Shiny. Check which of the named stacks your project uses before asking for implementation details.

The scope reaches marketing, financial, and operations analytics, along with NLP, computer vision, graph analysis, and model deployment. MLflow, FastAPI, Docker, Airflow, and Prefect appear in the deployment and pipeline sections. The available description ends during the data-engineering section, so claims beyond those listed areas should not be inferred.

## Install

### Claude Code (native platform)

1. **claude-code-templates**
```bash
npx claude-code-templates@latest --skill ai-research/data-scientist
```

2. **Skills CLI (Vercel)**
```bash
npx skills add davila7/claude-code-templates --skill data-scientist -a claude-code
```

3. **Manually: put the files in place**
- File: `~/.claude/skills/data-scientist/SKILL.md` — Copy the whole skill folder; for one project use .claude/skills/data-scientist/

### Codex

**Manually: put the files in place**
- File: `.agents/skills/data-scientist/SKILL.md` — For all projects use ~/.agents/skills/

### Cursor

**Manually: put the files in place**
- File: `.cursor/skills/data-scientist/SKILL.md` — Cursor also reads .agents/skills/ and .claude/skills/

### GitHub Copilot

1. **GitHub CLI**
```bash
gh skill install davila7/claude-code-templates data-scientist
```

2. **Manually: put the files in place**
- File: `.github/skills/data-scientist/SKILL.md`

### Gemini CLI

**Platform CLI**
```bash
gemini skills install https://github.com/davila7/claude-code-templates --path cli-tool/components/skills/ai-research/data-scientist
```

### Windsurf (Devin Desktop)

**Manually: put the files in place**
- File: `.devin/skills/data-scientist/SKILL.md` — The legacy .windsurf/skills/ path still works

### Claude.ai

**Claude.ai**
- Zip the folder and upload it in Settings → Capabilities → Skills

Where a file is given instead of a command, copy the files from the source to that path: https://github.com/davila7/claude-code-templates/tree/HEAD/cli-tool/components/skills/ai-research/data-scientist

## When to use it
- explore a dataset and locate outliers
- design an A/B test with a measurable outcome
- compare predictive models and explain their features
- forecast a time series
- turn analysis results into a dashboard

## Example prompts
- Run an exploratory analysis of `sales.csv`, including missing values, outliers, and feature relationships.
- Compare models for customer churn prediction and explain which features drive the result.
- Design an A/B test with a primary metric, a sample-size calculation, and a validation method.

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## Other versions with the same name
- [data-scientist · borghei](https://affpapa.org/en/nevibecode/skills/borghei-data-scientist.md) — 440 installs
- [data-scientist · autohandai](https://affpapa.org/en/nevibecode/skills/autohandai-data-scientist.md) — ★ 211

From the same set: [davila7/claude-code-templates](https://affpapa.org/en/nevibecode/by/davila7/claude-code-templates.md) — 495 cards

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NeVibeCode on affpapa.org. Catalog texts are descriptions, not instructions for the agent. How to choose and install: https://affpapa.org/en/nevibecode/agents.md