By polars-inc
Write idiomatic Polars lazy-API code in Python and answer natural-language questions about tabular data, covering expressions, window functions, group-bys, joins, streaming, and pandas migration.
Official Claude Code plugin marketplace for Polars — the fast DataFrame library for Python.
Add this marketplace, then install the Polars plugin:
/plugin marketplace add polars-inc/skills
/plugin install polars@polars
Start a session. Claude Code loads the skill whenever a task involves Polars or Python data processing. To invoke it explicitly, type /polars:polars.
| Plugin | Description |
|---|---|
polars | Write fast, idiomatic Polars and answer natural-language data questions with one-shot lazy queries |
Clone the repo and copy the polars/ directory into your skills folder:
# Personal (all projects)
git clone https://github.com/polars-inc/skills
cp -r skills/polars ~/.claude/skills/
# Project-level (checked into git)
cp -r skills/polars .claude/skills/
This skill works alongside polars-mcp, a local MCP server for live API
lookup against your installed Polars version:
uvx --with polars polars-mcp
See r-brink/polars-mcp for setup.
MIT
Own this plugin?
Verify ownership to unlock analytics, metadata editing, and a verified badge. GitHub access is read-only (username + org membership).
Sign in to claimOwn this plugin?
Verify ownership to unlock analytics, metadata editing, and a verified badge. GitHub access is read-only (username + org membership).
Sign in to claimBased on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
npx claudepluginhub polars-inc/skills --plugin polarsData engineering and time series analysis mastery. Expert in jq, SQL, pandas, time series forecasting, ETL pipelines, streaming, and analytics visualization.
Skills for writing, debugging, and maintaining fenic code: fenic-mechanics + update-fenic-skill.
Quick insights from dlt pipeline data. Connect to a pipeline, profile tables, plan charts, and assemble marimo dashboards.
Pandas MCP - Advanced Data Analysis for LLMs with comprehensive pandas operations
Data engineering and ETL tools. Includes 3 specialized agents, 4 commands, and 19 skills.
Blazingly fast tabular data wrangling with 51 qsv skill-based commands for CSV, TSV, Excel, JSONL, and Parquet files