Library
Polars agent skills for Claude Code, Codex and other agents.
- skills
- 32
Polars skills, ranked
Ranked by score. Sort bymost stars,trending,newest,recently updated
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Best practices for polars data processing with dataframely. An agent skill from Quantco/dataframely. | Quantco/ | 618 | — | ~2.4k | Automated safety check: Pass | BSD-3-Clause | yesterday |
| 2 | Senior UI/UX Engineer. An agent skill from alisamadiii/Portfolio. | alisamadiii/ | 180 | 6 repos | ~5.3k | Automated safety check: Pass | No licence | today |
| 3 | Agentforce session tracing extraction and analysis. An agent skill from Jaganpro/sf-skills. | Jaganpro/ | 424 | — | ~1.8k | Automated safety check: Pass | MIT | 5 mo ago |
| 4 | Full SEO/metadata setup and audit for client websites (Astro, Next.js, any static site). | alisamadiii/ | 180 | — | ~1.7k | Automated safety check: Pass | No licence | today |
| 5 | Queries the data warehouse with SQL and answers business questions about data. | astronomer/ | 450 | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 6 | Maps Flowfile's core, worker, frontend, kernel, scheduler and shared services and the design contracts between them, for onboarding and cross-service debugging. | Edwardvaneechoud/ | 370 | — | ~9.9k | Automated safety check: Pass | MIT | yesterday |
| 7 | Analyzes CSV, Parquet and JSON data with DuckDB, Polars, numpy and matplotlib, preferring a persistent kernel over repeated one-shot processes. | code-yeongyu/ | 70k | — | ~1.4k | Automated safety check: Pass | Unknown | today |
| 8 | 8.Polars Fast DataFrame library (Apache Arrow). An agent skill from davila7/claude-code-templates. | davila7/ | 32k | 14 repos | ~2.3k | Automated safety check: Pass | MIT | today |
| 9 | Guide for using OptimusKG, the biomedical knowledge graph, through the optimuskg Python client. | mims-harvard/ | 146 | — | ~1.9k | Automated safety check: Pass | MIT | 16 days ago |
| 10 | Explains how changes to the Flowfile monorepo are gated, versioned and released, including version sync, stub and docs drift checks, Alembic migrations and pinned dependencies. | Edwardvaneechoud/ | 370 | — | ~7.3k | Automated safety check: Pass | MIT | yesterday |
| 11 | Runbook for closing gaps between a Flowfile visual flow's results and its exported Polars or FlowFrame Python code, measured by tests rather than by eye. | Edwardvaneechoud/ | 370 | — | ~7.5k | Automated safety check: Pass | MIT | yesterday |
| 12 | 12.Hypothesis Use Hypothesis for property-based testing to automatically generate comprehensive test cases, find edge cases, and write more robust tests with minimal example shrinking. | anam-org/ | 124 | — | ~1.7k | Automated safety check: Pass | Apache-2.0 | 6 days ago |
| 13 | 13.Narwhals Effectively use Narwhals to write dataframe-agnostic code that works seamlessly across multiple Python dataframe libraries. | anam-org/ | 124 | — | ~3.3k | Automated safety check: Pass | Apache-2.0 | 6 days ago |
| 14 | 14.Polars Bio Fast genomic interval operations (overlap, nearest, merge, coverage, cluster, complement, subtract, count-overlaps), multi-format bioinformatics I/O, DataFusion SQL, and pileup on Polars DataFrames… | ClawBio/ | 1.2k | — | ~3.4k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 15 | 15.Polars Bio Performs genomic interval overlap, nearest, merge, coverage, complement and subtraction on Polars DataFrames, and reads or writes BED, VCF, BCF, BAM, CRAM, GFF, GTF, FASTA and FASTQ data. | K-Dense-AI/ | 48k | 1 repo | ~3.2k | Automated safety check: Notes | Apache-2.0 | 2 days ago |
| 16 | 16.Polars High-performance DataFrame library for Python ETL, analytics, and pandas migration. | K-Dense-AI/ | 48k | 1 repo | ~3.3k | Automated safety check: Pass | MIT | 2 days ago |
| 17 | Data ingestion patterns for loading data from cloud storage, APIs, files, and streaming sources into databases. | ancoleman/ | 526 | — | ~1.9k | Automated safety check: Pass | MIT | 10 mo ago |
| 18 | Transform raw data into analytical assets using ETL/ELT patterns, SQL (dbt), Python (pandas/polars/PySpark), and orchestration (Airflow). | ancoleman/ | 526 | — | ~3k | Automated safety check: Pass | MIT | 10 mo ago |
| 19 | Deep dive into flowfileframe — the Polars-LazyFrame-shaped Python API that builds an in-process flowfilecore FlowGraph as a side effect of every method call — covering the FlowFrame/Expr internals… | Edwardvaneechoud/ | 370 | — | ~12k | Automated safety check: Pass | MIT | yesterday |
| 20 | Python data pipelines with modular architecture. An agent skill from jamditis/claude-skills-journalism. | jamditis/ | 416 | — | ~4.8k | Automated safety check: Pass | MIT | 2 days ago |
| 21 | Downloads education datasets from configured mirror sources (parquet/CSV) with local Polars filtering. | brycewang-stanford/ | 4.5k | — | ~2.8k | Automated safety check: Pass | Unknown | 2 days ago |
| 22 | 22.Polars Polars DataFrame library for high-performance data manipulation. | brycewang-stanford/ | 4.5k | — | ~2.9k | Automated safety check: Pass | Unknown | 2 days ago |
| 23 | 23.Svy Complex survey analysis: strata/PSU/weights, variance estimation (Taylor, BRR, jackknife, bootstrap), survey GLM, domain analysis, calibration. | brycewang-stanford/ | 4.5k | — | ~3.4k | Automated safety check: Pass | Unknown | 2 days ago |
| 24 | R-to-Python translation for data analysis. An agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. | brycewang-stanford/ | 4.5k | — | ~5.5k | Automated safety check: Pass | Unknown | 2 days ago |
| 25 | Stata-to-Python translation for data analysis. An agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. | brycewang-stanford/ | 4.5k | — | ~6.2k | Automated safety check: Pass | Unknown | 2 days ago |
| 26 | Pick how to write a figure before custom plot code. An agent skill from probabl-ai/skills. | probabl-ai/ | 135 | — | ~785 | Automated safety check: Pass | BSD-3-Clause | today |
| 27 | Core Python library for astronomy/astrophysics: units with dimensional analysis, celestial coordinate transforms (ICRS/Galactic/AltAz/FK5), FITS I/O, tables (FITS/HDF5/VOTable/CSV), cosmology… | jaechang-hits/ | 370 | 1 repo | ~5.5k | Automated safety check: Pass | BSD-3-Clause | 8 days ago |
| 28 | Fast in-memory DataFrame with lazy evaluation, parallel execution, Arrow backend. | jaechang-hits/ | 370 | — | ~6.4k | Automated safety check: Pass | MIT | 8 days ago |
| 29 | Out-of-core DataFrame for billion-row data via lazy evaluation and memory-mapped files. | jaechang-hits/ | 370 | — | ~6.2k | Automated safety check: Pass | MIT | 8 days ago |
| 30 | 30.Polars Bio High-performance genomic interval operations and bioinformatics file I/O on Polars DataFrames. | majiayu000/ | 666 | 1 repo | ~3.8k | Automated safety check: Notes | Apache-2.0 | today |
| 31 | Parallel/distributed computing for larger-than-RAM data. An agent skill from jaechang-hits/SciAgent-Skills. | jaechang-hits/ | 370 | — | ~4.1k | Automated safety check: Pass | BSD-3-Clause | 8 days ago |
| 32 | Processing, transforming, or moving datasets that may exceed RAM on a single low-compute box — covers memory discipline (streaming, generators, dtype shrinkage), I/O access patterns (sequential vs… | pproenca/ | 214 | — | ~3.3k | Automated safety check: Pass | MIT | 1 mo ago |
Questions, answered from the data.
What is the best Polars skill?
Dataframely from Quantco/dataframely ranks first of the 32 Polars skills listed here, with the highest score: its repository has 618 GitHub stars, its SKILL.md loads about 2.4k tokens and it passes the automated safety check with no findings. Next come Design Taste Frontend and Sf AI Agentforce Observability.
Is there an official Polars skill?
None yet. All 32 Polars skills listed here come from community repositories; a skill counts as official when the product's own GitHub organization publishes it.
How are these skills ranked?
By Skill Navigator score, which combines the GitHub stars of the skill's repository (shared across that repo's skills and discounted for large collections), how many other GitHub owners carry a copy of the skill, and automated SKILL.md quality checks, minus penalties for safety-check warnings and for each further skill from the same repository. Skills that fail the safety check are not listed.