Best DataFrames skills, page 2

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/polar

Query and analyze NKI kernel profile data from neuron-explorer parquet files.

uw-syfi/vibesys

Build or refresh an OWID static visualization end to end — resolve what data it needs from an old static viz image, an indicator, or a grapher chart; check both the ETL catalog and the producer's…

owid/etl

Best practices for analytics, data analysis, and visualization using Python, pandas, matplotlib, seaborn, and Jupyter notebooks.

Mindrally/skills

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/Flowfile

Validate, resample, and ingest market data for factor mining.

minihellboy/factorminer

Adds a new input format loader (e.g., Parquet, Excel) to the IO readers module.

FabioYanezRomero/Knowledge-Graph-Builder

Excel 数据分析多步编排器。覆盖：(1) 读取多 Sheet Excel 文件并统计行数，(2) 大文件检测（≥10k 行自动 Parquet 优化），(3) 数据清洗（缺失值、文本标准化、无效字符），(4) 条件筛选与分类提取，(5) 跨 Sheet 统计聚合，(6) 导出 Excel/CSV 并提供下载链接。覆盖从数据读取到报告生成全流程，按步骤编排 capability 子…

MichaelYang-lyx/AIDABench

Ingest and transform data files (CSV/JSON/Parquet/Arrow IPC) into Elasticsearch with stream processing and custom transforms.

Kilo-Org/kilo-marketplace

Read, create, and modify Excel workbooks (.xlsx), including data, formulas, formatting, and pandas analysis.

singula-ai/alego

Check a diff against Polar's written conventions in server/AGENTS.md and clients/AGENTS.md — module structure, repository and service patterns, session types, auth dependencies, test organisation…

polarsource/polar

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/metaxy

Combines CSV, TSV and Excel files into one verified table with pandas, by stacking or joining, mapping columns, normalizing keys and removing duplicates.

OneWave-AI/claude-skills

Serverless Aura Graph Analytics (AGA) GDS Sessions — covers GdsSessions, AuraGraphDataScience, AuraAPICredentials, DbmsConnectionInfo, SessionMemory, getorcreate, remote graph projection with…

neo4j-contrib/neo4j-skills

万行以上 Excel 数据集的高性能分析引擎。提供 openpyxl readonly 流式读取（iterrows 支持 10 万行以上）、Parquet 转换加速、内存优化、分块处理和大文件写入模式。遇到以下任一情况就主动使用本 skill：①数据行数 ≥ 10k（由 sn-da-excel-workflow 的行数评估步骤触发）；②用户出现触发词：大文件 / 大数据量 / 性能优化 /…

MichaelYang-lyx/AIDABench

Detects 15 classic candlestick patterns with vectorized pandas code and combines bullish and bearish scores into a long, short or flat trading signal.

HKUDS/Vibe-Trading

Infers candidate gene regulatory networks from bulk or single-cell expression data using AertsLab Arboreto GRNBoost2 and GENIE3.

K-Dense-AI/scientific-agent-skills

Panel data analysis with Python using linearmodels and pandas.

meleantonio/awesome-econ-ai-stuff

Effectively use Narwhals to write dataframe-agnostic code that works seamlessly across multiple Python dataframe libraries.

anam-org/metaxy

Add a new translation locale to the Polar frontend. An agent skill from polarsource/polar.

polarsource/polar

Analyze and fix issues reported by Sentry in the Polar codebase.

polarsource/polar

A skill to add a new entry in the section "Backend Development" of the Polar Handbook.

polarsource/polar

Check whether a diff is safe to deploy — schema changes that break the currently running code, blocking DDL, renaming or moving background task actors while jobs are in flight, queue priority, cron…

polarsource/polar

Evidence-capture protocol for verifying web/dashboard/backoffice/checkout changes in the Polar local stack by driving the real UI with Playwright.

polarsource/polar

Displaying charts, dataframes, and metrics in Streamlit. An agent skill from iusztinpaul/designing-real-world-ai-agents-workshop.

iusztinpaul/designing-real-world-ai-agents-workshop

TRIGGER when user asks to create a microservice that calls Python, runs ML inference, or uses Python libraries (PyTorch, pandas, sentence-transformers, numpy) for its core compute.

microbus-io/fabric

Turns a parquet of image file paths into a parquet of embeddings with CLIP, SigLIP or a TAO checkpoint, using the TAO Data Services container, ahead of neighbor mining.

NVIDIA/skills

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/ClawBio

Scales pandas, NumPy, and custom Python research workflows beyond memory or across clusters with Dask.

K-Dense-AI/scientific-agent-skills

GPU-accelerates scientific Python on NVIDIA hardware and verifies that the result is correct and faster.

K-Dense-AI/scientific-agent-skills

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/scientific-agent-skills

Processes large tabular scientific datasets with Vaex expressions, filtered views, streamed statistics, binned visualizations, and file conversion.

K-Dense-AI/scientific-agent-skills

Stores and queries chunked N-D scientific arrays with Zarr-Python 3, including codecs, sharding, S3/GCS storage, and NumPy/Dask/Xarray integration.

K-Dense-AI/scientific-agent-skills

A skill your agent uses for converting researched facts or user-provided data into structured tables by writing code, then running Python/pandas calculations in the job-scoped sandbox.

NVIDIA-AI-Blueprints/deep-researcher-agent

De-identify selected free-text columns in a local CSV, JSONL, or Parquet dataset with OpenMed and produce a separate redacted dataset plus a PHI-free aggregate summary.

maziyarpanahi/openmed

Local development environment management for Polar using Docker

polarsource/polar

Work on the Supercheck recorder extension and app bridge, Chrome or Edge publishing, Polar billing and entitlements, customer support chat, or other third-party integration boundaries.

supercheck-io/supercheck

Generates Python code using BigQuery DataFrames (BigFrames).

google/skills

Data analysis expert for statistics, visualization, pandas, and exploration

RightNow-AI/openfang

Run TAO Data Services TMM nearest-neighbor mining from embedding parquet files.

NVIDIA/skills

Guides database architecture for PostgreSQL, DuckDB, Parquet, PGVector, and Neo4j.

rileyhilliard/claude-essentials

High-performance DataFrame library for Python ETL, analytics, and pandas migration.

K-Dense-AI/scientific-agent-skills

Creates Seaborn statistical visualizations with pandas integration for distributions, relationships, categorical comparisons, regression displays, pair plots, and heatmaps.

K-Dense-AI/scientific-agent-skills

A skill your agent uses when a tabular dataset (CSV, Excel, Parquet, Stata, SAS) needs a data dictionary.

Aperivue/medsci-skills

Run TAO Data Services TMM unique-neighbor matching mining from embedding parquet files for object detection workflows.

NVIDIA/skills

Convert robot trajectory datasets between formats — currently agibot v1 → LeRobot v2.1 (parquet + HEVC/PNG-encoded MP4).

AgibotTech/genie_sim

Load when correcting batch effects in bulk expression using R sva ComBat or the legacy Python parametric approximation.

TianGzlab/OmicsClaw

A skill your agent uses for small deterministic calculations during research when pandas/table analysis is unnecessary.

NVIDIA-AI-Blueprints/deep-researcher-agent