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Data Scientist (High-Performance DuckDB/Polars Analysis)

A skill that analyzes CSV, Parquet, and JSON data by intelligently routing each operation to either DuckDB or Polars for maximum speed.

Data & AnalyticsIntermediate★ 67,531⑂ 5,507AI score 9/10Last updated: Aug 9, 2026

What it does

  • Detects requests like "analyze this file", "total by category", or "trend for the last 30 days" and switches into data-analysis mode.
  • Applies an 11-step decision tree: Polars for filtering, sorting, window functions and transforms; DuckDB for joins, aggregations, and heavy SQL.
  • Builds hybrid pipelines with zero-copy Arrow handoffs (.pl()) between DuckDB and Polars.
  • Runs everything through uv run --with numpy --with duckdb --with polars --with pyarrow, and never uses pandas.
  • Ships a scripts/quick-query.py CLI (SQL, filters, schema/stat describe) plus uv bootstrap scripts for macOS/Linux/Windows.

Who it's for

  • Data analysts and engineers who regularly handle large CSV/Parquet files.
  • Anyone processing datasets bigger than available RAM via streaming or out-of-core execution.
  • Teams migrating off pandas toward the modern Polars + DuckDB stack.

Example uses

  1. Point it at sales.parquet and ask for "revenue by category with a histogram" → DuckDB aggregation plus a matplotlib chart.
  2. "Join orders.csv with customers.csv on customer_id, then keep rows above 100" → DuckDB join followed by a Polars filter.
  3. Run uv run scripts/quick-query.py data.parquet --describe for instant schema and summary statistics.

· · · Install guide · · ·

Try it now, no install

Paste this into Claude to use the skill without installing anything.

Read the instructions in this file and follow them to help me:
https://raw.githubusercontent.com/code-yeongyu/oh-my-openagent/HEAD/packages/shared-skills/skills/data-scientist/SKILL.md

What I want: (describe your task here)

If Claude can't open the link, open it yourself and paste the contents instead.

↓ If it works for you, download the ZIP below and install it. Then it runs on its own — no pasting each time.

Install in the Claude app (no terminal)
  1. Download the ZIP with the button below.
  2. In Claude, open Settings → Capabilities and turn on 'Code execution and file creation'. (one time)
  3. Go to Customize → Skills → + → 'Upload a skill' and upload the ZIP.
↓ Download ZIP
Install in Claude Code

Let Claude do it — paste this into Claude Code

Install the skill I found on Claude Skill Mart.
Copy the packages/shared-skills/skills/data-scientist folder from the GitHub repo code-yeongyu/oh-my-openagent into my ~/.claude/skills/data-scientist/.
When it's done, tell me in one line what this skill can do.

Install with a command instead

git clone https://github.com/code-yeongyu/oh-my-openagent.git /tmp/oh-my-openagent && mkdir -p ~/.claude/skills && cp -r /tmp/oh-my-openagent/packages/shared-skills/skills/data-scientist ~/.claude/skills/

⚠ This is a third-party skill. Check the source repository before installing.

  1. Open a terminal and clone the repo: git clone https://github.com/code-yeongyu/oh-my-openagent.git
  2. Create the skills folder: mkdir -p ~/.claude/skills
  3. Copy the skill: cp -r oh-my-openagent/packages/shared-skills/skills/data-scientist ~/.claude/skills/
  4. If uv isn't installed, run bash ~/.claude/skills/data-scientist/scripts/setup-uv.sh (on native Windows: powershell -ExecutionPolicy Bypass -File scripts/setup-uv.ps1).
  5. Verify with uv --version.
  6. Restart Claude Code, then ask something like "analyze this data" with a CSV/Parquet path to trigger the skill automatically.
View source on GitHub ↗License: NOASSERTION