skill CX Codex

harvard-artifacts-collection-data-engineering-analytics skill

Q: How to install harvard-artifacts-collection-data-engineering-analytics in Claude Code?

Run `npx skills add reason-machines/data-skills --skill harvard-artifacts-collection-data-engineering-analytics -a claude-code`. You can also configure it directly in `~/.claude/skills/harvard-artifacts-collection-data-engineering-analytics/SKILL.md`.

Q: Which Python libraries are required?

The pipeline relies on `streamlit`, `pandas`, `requests`, `mysql-connector-python`, `plotly`, and `python-dotenv`.

Sets up an end-to-end data pipeline fetching Harvard Art Museums records, loading them into MySQL, and visualising trends in Streamlit.

Install into Claude Code · Skills CLI (Vercel) All methods and platforms ↓

npx skills add reason-machines/data-skills --skill harvard-artifacts-collection-data-engineering-analytics -a claude-code

Open on GitHub

What harvard-artifacts-collection-data-engineering-analytics does

This skill guides the agent through an entire pipeline for museum artifact analytics. It extracts records from the Harvard Art Museums API, handling request pacing and multi-page responses. The transformation step unpacks nested JSON into relational tables covering object metadata, images, and color hex percentages.

Data lands in MySQL or TiDB Cloud across foreign-keyed tables. On top of the database, the project supplies over 20 SQL queries along with interactive charts built via Streamlit and Plotly.

The pipeline fails immediately if HARVARD_API_KEY or the database credentials in .env are omitted.

What it helps with

extract museum artifacts from the Harvard API with rate limiting
transform nested JSON into relational schemas for metadata, images, and colors
launch a Streamlit dashboard with Plotly charts on top of MySQL or TiDB Cloud
run analytical SQL queries across art collection datasets

Example prompts for the agent

Set up an ETL pipeline to load Harvard Art Museums records into MySQL.
Create a Streamlit dashboard with Plotly charts for museum collection data.
Generate SQL schema and queries to analyze Harvard artifact colors and metadata.

How to install harvard-artifacts-collection-data-engineering-analytics

1Skills CLI (Vercel)

npx skills add reason-machines/data-skills --skill harvard-artifacts-collection-data-engineering-analytics -a claude-code

2Manually: put the files in place

~/.claude/skills/harvard-artifacts-collection-data-engineering-analytics/SKILL.md

Copy the whole skill folder; for one project use .claude/skills/harvard-artifacts-collection-data-engineering-analytics/

1Skills CLI (Vercel)

npx skills add reason-machines/data-skills --skill harvard-artifacts-collection-data-engineering-analytics -a codex

2Manually: put the files in place

.agents/skills/harvard-artifacts-collection-data-engineering-analytics/SKILL.md

For all projects use ~/.agents/skills/

1Skills CLI (Vercel)

npx skills add reason-machines/data-skills --skill harvard-artifacts-collection-data-engineering-analytics -a cursor

2Manually: put the files in place

.cursor/skills/harvard-artifacts-collection-data-engineering-analytics/SKILL.md

Cursor also reads .agents/skills/ and .claude/skills/

1GitHub CLI

gh skill install reason-machines/data-skills harvard-artifacts-collection-data-engineering-analytics

2Manually: put the files in place

.github/skills/harvard-artifacts-collection-data-engineering-analytics/SKILL.md

1Skills CLI (Vercel)

npx skills add reason-machines/data-skills --skill harvard-artifacts-collection-data-engineering-analytics -a gemini-cli

2Platform CLI

gemini skills install https://github.com/reason-machines/data-skills --path skills/harvard-artifacts-collection-data-engineering-analytics

Manually: put the files in place

.devin/skills/harvard-artifacts-collection-data-engineering-analytics/SKILL.md

The legacy .windsurf/skills/ path still works

Skills CLI (Vercel)

npx skills add reason-machines/data-skills --skill harvard-artifacts-collection-data-engineering-analytics -a opencode

Step by step, with commands for each platform: How to install skills in Claude Code: five ways

Questions about harvard-artifacts-collection-data-engineering-analytics

How to install harvard-artifacts-collection-data-engineering-analytics in Claude Code?

Run npx skills add reason-machines/data-skills --skill harvard-artifacts-collection-data-engineering-analytics -a claude-code. You can also configure it directly in ~/.claude/skills/harvard-artifacts-collection-data-engineering-analytics/SKILL.md.

What does this skill do?

It builds an automated workflow that fetches Harvard Art Museums data, writes structured tables to MySQL or TiDB Cloud, and presents analytics in Streamlit.

Which Python libraries are required?

The pipeline relies on streamlit, pandas, requests, mysql-connector-python, plotly, and python-dotenv.

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