# harvard-artifacts-etl-streamlit

Builds an ETL pipeline fetching Harvard Art Museums records into SQL and renders interactive Streamlit dashboards using Plotly.

- skill · `type=skill` · Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, OpenCode · 1300 installs · ★ 5
- Author: reason-machines
- License: LicenseRef-Unknown · policy=link-only · description only; the file stays with the author
- Source: https://github.com/reason-machines/data-skills/tree/HEAD/skills/harvard-artifacts-etl-streamlit/SKILL.md
- Updated: 2026-10-09
- HTML: https://affpapa.org/en/nevibecode/skills/harvard-artifacts-etl-streamlit

## What it does

This skill guides an agent through ingesting records from the Harvard Art Museums API, flattening nested JSON with `pandas`, and writing them to relational storage. The database schema isolates artifact attributes, image links, and color metrics into three dedicated tables.

The analytical layer pairs SQL queries with a Streamlit front end driven by Plotly charts. Over 20 built-in queries help aggregate items by historical era, culture, curatorial department, or primary palette colors.

Without a valid Harvard API key and a reachable MySQL or TiDB instance, the script cannot complete the data extraction.

## Install

### Claude Code (native platform)

1. **Skills CLI (Vercel)**
```bash
npx skills add reason-machines/data-skills --skill harvard-artifacts-etl-streamlit -a claude-code
```

2. **Manually: put the files in place**
- File: `~/.claude/skills/harvard-artifacts-etl-streamlit/SKILL.md` — Copy the whole skill folder; for one project use .claude/skills/harvard-artifacts-etl-streamlit/

### Codex

1. **Skills CLI (Vercel)**
```bash
npx skills add reason-machines/data-skills --skill harvard-artifacts-etl-streamlit -a codex
```

2. **Manually: put the files in place**
- File: `.agents/skills/harvard-artifacts-etl-streamlit/SKILL.md` — For all projects use ~/.agents/skills/

### Cursor

1. **Skills CLI (Vercel)**
```bash
npx skills add reason-machines/data-skills --skill harvard-artifacts-etl-streamlit -a cursor
```

2. **Manually: put the files in place**
- File: `.cursor/skills/harvard-artifacts-etl-streamlit/SKILL.md` — Cursor also reads .agents/skills/ and .claude/skills/

### GitHub Copilot

1. **GitHub CLI**
```bash
gh skill install reason-machines/data-skills harvard-artifacts-etl-streamlit
```

2. **Manually: put the files in place**
- File: `.github/skills/harvard-artifacts-etl-streamlit/SKILL.md`

### Gemini CLI

1. **Skills CLI (Vercel)**
```bash
npx skills add reason-machines/data-skills --skill harvard-artifacts-etl-streamlit -a gemini-cli
```

2. **Platform CLI**
```bash
gemini skills install https://github.com/reason-machines/data-skills --path skills/harvard-artifacts-etl-streamlit
```

### Windsurf (Devin Desktop)

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

### OpenCode

**Skills CLI (Vercel)**
```bash
npx skills add reason-machines/data-skills --skill harvard-artifacts-etl-streamlit -a opencode
```

### 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/reason-machines/data-skills/tree/HEAD/skills/harvard-artifacts-etl-streamlit/SKILL.md

## When to use it
- extract artifact records from Harvard Art Museums API with pagination
- transform nested API responses into structured relational tables
- run analytical queries across historical eras and museum departments
- build a live Streamlit dashboard displaying Plotly charts

## Example prompts
- Create an ETL script that ingests Harvard museum artifacts into MySQL
- Set up a Streamlit dashboard visualizing artifact color palettes with Plotly
- Generate SQL schema definitions for Harvard art collections and media

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From the same set: [reason-machines/data-skills](https://affpapa.org/en/nevibecode/by/reason-machines/data-skills.md) — 74 cards

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