Topic · Data & Analytics
Best DataFrames skills for Claude Code, Codex and other agents.
- skills
- 228
- official
- 14
DataFrames skills, ranked
Ranked by score. Sort bymost stars,trending,newest,recently updated
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | A skill your agent uses when the user has tabular data (pandas DataFrame, parquet, csv, Arrow, json) and wants to filter, group, aggregate, join, or speed up slow pandas. | vemetric/ | 394 | 2 repos | ~1.4k | Automated safety check: Pass | Apache-2.0 | today |
| 2 | Integrate Polar billing in server-side Python applications using the versioned Polar and PolarAsync clients. | polarsource/ | 10k | — | ~1.8k | Automated safety check: Pass | Apache-2.0 | today |
| 3 | Integrate Polar billing in server-side TypeScript applications using the versioned createPolar and createPolarCore clients. | polarsource/ | 10k | — | ~2k | Automated safety check: Pass | Apache-2.0 | today |
| 4 | Analyzes CSV files, generates summary stats, and plots quick visualizations using Python and pandas. | coffeefuelbump/ | 468 | 2 repos | ~1.4k | Automated safety check: Pass | No licence | 11 mo ago |
| 5 | 5.Chdb SQL A skill your agent uses when the user wants to run SQL — especially analytical SQL — on local files (parquet/csv/json), URLs, S3 paths, or remote databases (Postgres, MySQL, MongoDB, ClickHouse… | vemetric/ | 394 | 1 repo | ~1.2k | Automated safety check: Pass | Apache-2.0 | today |
| 6 | Migrate a whole ArcGIS Hub site into a PortalJS Arc portal end-to-end. | datopian/ | 2.4k | — | ~2k | Automated safety check: Pass | MIT | 1 mo ago |
| 7 | A skill your agent uses to produce standalone, publication-ready PNG graphics and reproducible matplotlib scripts from tabular data (CSVs or DataFrames). | EvoScientist/ | 474 | 1 repo | ~4.4k | Automated safety check: Pass | Apache-2.0 | 6 days ago |
| 8 | Execute Python code in a safe sandboxed environment via [inference.sh](https://inference.sh). | cortega26/ | 113 | 2 repos | ~1.5k | Automated safety check: Pass | MIT | yesterday |
| 9 | 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 |
| 10 | Analyze event logs, clickstreams, user paths, product funnels, retention, behavioral segments, transition graphs, step matrices, sequence patterns, and customer journeys using Retentioneering. | retentioneering/ | 920 | — | ~1.6k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 11 | Convert any data file to another format: CSV, Parquet, JSON, Excel, GeoJSON, and more. | duckdb/ | 599 | 1 repo | ~720 | Automated safety check: Notes | MIT | 5 mo ago |
| 12 | Review changes to Polar's API contract — Pydantic schemas, FastAPI endpoints, OpenAPI output and the generated SDKs. | polarsource/ | 10k | — | ~1.3k | Automated safety check: Pass | MIT | today |
| 13 | 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 |
| 14 | Review a diff that touches Polar's billing domain — subscriptions, cycles and crons, orders, billing entries, meters and usage, discounts, checkout, payments and dunning, refunds, disputes, payouts… | polarsource/ | 10k | — | ~2.3k | Automated safety check: Pass | MIT | today |
| 15 | 15.Pandas Pro Handles pandas DataFrame work: cleaning, merging, groupby aggregation, pivots, time-series resampling and memory tuning, with checks on dtypes, shapes and nulls. | Jeffallan/ | 12k | 1 repo | ~1.5k | Automated safety check: Pass | MIT | 4 days ago |
| 16 | Queries the data warehouse with SQL and answers business questions about data. | astronomer/ | 450 | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 17 | 17.Panda CSS Implement, migrate, review, or debug Panda CSS styles in the Bangumi frontend. | bangumi/ | 127 | — | ~1.4k | Automated safety check: Pass | BSD-3-Clause | 2 days ago |
| 18 | 18.Excel Parser Smart Excel/CSV file parsing with intelligent routing based on file complexity analysis. | Harryoung/ | 104 | — | ~2.3k | Automated safety check: Pass | Apache-2.0 | 6 mo ago |
| 19 | 19.Daleui Use the daleui React design system with semantic Panda CSS tokens and accessible components. | DaleStudy/ | 119 | — | ~675 | Automated safety check: Pass | MIT | yesterday |
| 20 | Investigates geocoder data quality issues by querying live S3 parquet files via MotherDuck MCP. | walkthru-earth/ | 153 | — | ~935 | Automated safety check: Pass | CC-BY-4.0 | 3 mo ago |
| 21 | Check if upstream Apache DataFusion features (functions, DataFrame ops, SessionContext methods, FFI types) are exposed in this Python project. | apache/ | 606 | — | ~5.9k | Automated safety check: Pass | Apache-2.0 | today |
| 22 | Read any data file (CSV, JSON, Parquet, Avro, Excel, spatial, SQLite) or remote URL (S3, HTTPS). | duckdb/ | 599 | 1 repo | ~917 | Automated safety check: Notes | MIT | 5 mo ago |
| 23 | 23.Sf Datacloud Salesforce Data Cloud product orchestrator for connect→prepare→harmonize→segment→act workflows. | Jaganpro/ | 424 | — | ~2.7k | Automated safety check: Pass | MIT | 5 mo ago |
| 24 | Analyse GC2/Centia Parquet snapshots with DuckDB by walking the STAC catalog.json in the snapshot store — find datasets, decide whether a dataset has geometry (and in which CRS), read one snapshot… | mapcentia/ | 152 | — | ~2.3k | Automated safety check: Pass | AGPL-3.0 | yesterday |
| 25 | 25.Open PR Open or update a draft GitHub pull request after Polar-specific review and cubic CLI review. | polarsource/ | 10k | — | ~586 | Automated safety check: Pass | MIT | today |
| 26 | 图片理解与数据提取 skill。当图片文件(.png/.jpg/.jpeg/.gif/.webp/.bmp)是主要输入且用户需要理解、提取数据或分析图片内容时使用。提供预配置的 caption 脚本(scripts/caption.py),通过 vision 模型将图片转为文本描述,无需额外配置 API Key。覆盖:(1) 通过 scripts/caption.py… | MichaelYang-lyx/ | 111 | 1 repo | ~2k | Automated safety check: Pass | No licence | 9 days ago |
| 27 | Loads, cleans, aggregates and joins tabular data with pandas under a verification rule: every number reported must be one that the code actually printed. | pipeshub-ai/ | 3.8k | — | ~1.2k | Automated safety check: Pass | Apache-2.0 | today |
| 28 | A skill your agent uses when the user is writing datafusion-python (Apache DataFusion Python bindings) DataFrame or SQL code. | apache/ | 606 | — | ~7.8k | Automated safety check: Pass | Apache-2.0 | today |
| 29 | Register zarr positions into the Computational Imaging Database on Airtable, write channelsmetadata/experimentmetadata to zarr .zattrs, or bulk-update Airtable records via MCP. | mehta-lab/ | 104 | — | ~1.9k | Automated safety check: Pass | BSD-3-Clause | today |
| 30 | Works with datasets far too big to download or load in pandas — SQL over remote Parquet with DuckDB, aggregate-then-model, iterate on samples. | flyrank-bih/ | 140 | — | ~750 | Automated safety check: Pass | Unknown | 1 mo ago |
| 31 | Uses Ray Data to read, transform and write large datasets across a cluster for ML training and batch inference, with streaming execution and optional GPU steps. | Orchestra-Research/ | 13k | 3 repos | ~1.8k | Automated safety check: Pass | MIT | 3 mo ago |
| 32 | Guides writing and tuning Apache Spark jobs: DataFrame and RDD code, Spark SQL, partitioning, caching, shuffle tuning and structured streaming. | Jeffallan/ | 12k | 1 repo | ~1.7k | Automated safety check: Pass | MIT | 4 days ago |
| 33 | Modern Python coaching covering language foundations through advanced production patterns. | SpillwaveSolutions/ | 120 | — | ~1.4k | Automated safety check: Notes | MIT | 17 days ago |
| 34 | Migrate a Polar seat-based integration from customerid to the member model. | polarsource/ | 10k | — | ~480 | Automated safety check: Pass | Apache-2.0 | today |
| 35 | 35.Create Mob Create a new mob (custom entity) for a Minecraft Bedrock Edition add-on from a plain description, or change an existing one, including its health, attacks, AI behavior, taming, riding, drops, and… | Mojang/ | 161 | — | ~2.1k | Automated safety check: Pass | Unknown | today |
| 36 | Enforce synchronization between Kedro node files and catalog YAML files in the OptimusKG project. | mims-harvard/ | 146 | — | ~823 | Automated safety check: Pass | MIT | 16 days ago |
| 37 | Processes tabular datasets too large for RAM with Vaex: lazy DataFrames, fast aggregations, big-data plots and ML pipelines over CSV, HDF5, Arrow and Parquet. | davila7/ | 32k | 12 repos | ~1.6k | Automated safety check: Pass | MIT | today |
| 38 | Ingest and transform data files (CSV/JSON/Parquet/Arrow IPC) into Elasticsearch with stream processing and custom transforms. | aspectrr/ | 405 | — | ~684 | Automated safety check: Pass | MIT | 5 mo ago |
| 39 | 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 |
| 40 | 40.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 |
| 41 | Send IM messages to users in batch. An agent skill from Harryoung/efka. | Harryoung/ | 104 | — | ~512 | Automated safety check: Pass | Apache-2.0 | 6 mo ago |
| 42 | 42.Reuse Check Check a diff for code that reinvents something Polar already has — a kit helper, a shared Pydantic type, a repository method, an Orbit component, an existing model property. | polarsource/ | 10k | — | ~1.2k | Automated safety check: Pass | MIT | today |
| 43 | 43.Optimuskg 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 |
| 44 | 44.Testing Decision guide for testing in the ar-io-node repo — which test layer to use, how to run it, and which helpers to reach for. | ar-io/ | 127 | — | ~2.6k | Automated safety check: Notes | AGPL-3.0 | today |
| 45 | 45.Zarr Python Chunked N-D arrays for cloud storage. An agent skill from davila7/claude-code-templates. | davila7/ | 32k | 11 repos | ~5k | Automated safety check: Pass | MIT | today |
| 46 | 46.Dask Parallel/distributed computing. An agent skill from davila7/claude-code-templates. | davila7/ | 32k | 11 repos | ~3.5k | Automated safety check: Pass | MIT | today |
| 47 | 47.Flowio Parse FCS (Flow Cytometry Standard) files v2.0-3.1. An agent skill from davila7/claude-code-templates. | davila7/ | 32k | 10 repos | ~4.2k | Automated safety check: Pass | MIT | today |
| 48 | 48.Slop Check Strip agent-generated noise from a diff — comments that restate the code, private helpers in test files, near-duplicate tests, tests with no assertions, unrequested indexes and validation, defensive… | polarsource/ | 10k | — | ~971 | Automated safety check: Pass | MIT | today |
Questions, answered from the data.
What is the best DataFrames skill?
Chdb Datastore from vemetric/vemetric ranks first of the 228 DataFrames skills listed here, with the highest score: its repository has 394 GitHub stars, 2 other GitHub owners carry a copy, its SKILL.md loads about 1.4k tokens and it passes the automated safety check with no findings. Next come Polar Python SDK and Polar Typescript SDK.
Which DataFrames skills are official?
14 of the 228 DataFrames skills are official, published by the vendor's own GitHub organization: Convert File, Read File, TAO Image Embeddings, Bigquery Bigframes, Tao Mine Nearest Neighbors and 9 more.
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.