Python · DataFrames

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/vemetric

Integrate Polar billing in server-side Python applications using the versioned Polar and PolarAsync clients.

polarsource/polar

Analyzes CSV files, generates summary stats, and plots quick visualizations using Python and pandas.

coffeefuelbump/csv-data-summarizer-claude-skill

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/vemetric

Handles pandas DataFrame work: cleaning, merging, groupby aggregation, pivots, time-series resampling and memory tuning, with checks on dtypes, shapes and nulls.

Jeffallan/claude-skills

Execute Python code in a safe sandboxed environment via [inference.sh](https://inference.sh).

cortega26/chile-hub

Analyze event logs, clickstreams, user paths, product funnels, retention, behavioral segments, transition graphs, step matrices, sequence patterns, and customer journeys using Retentioneering.

retentioneering/retentioneering-tools

Check if upstream Apache DataFusion features (functions, DataFrame ops, SessionContext methods, FFI types) are exposed in this Python project.

apache/datafusion-python

A skill your agent uses when the user is writing datafusion-python (Apache DataFusion Python bindings) DataFrame or SQL code.

apache/datafusion-python

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/AI-Research-SKILLs

Modern Python coaching covering language foundations through advanced production patterns.

SpillwaveSolutions/agent-brain

Enforce synchronization between Kedro node files and catalog YAML files in the OptimusKG project.

mims-harvard/OptimusKG

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/claude-code-templates

Analyzes CSV, Parquet and JSON data with DuckDB, Polars, numpy and matplotlib, preferring a persistent kernel over repeated one-shot processes.

code-yeongyu/oh-my-openagent

Guide for using OptimusKG, the biomedical knowledge graph, through the optimuskg Python client.

mims-harvard/OptimusKG

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

TianGzlab/OmicsClaw

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

uw-syfi/vibesys

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

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

Mindrally/skills

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

singula-ai/alego

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

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

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

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

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

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

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

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

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

AgibotTech/genie_sim

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

NVIDIA-AI-Blueprints/deep-researcher-agent

Detect cyber attacks on OT historian servers (OSIsoft PI, Ignition, GE Proficy, Wonderware InSQL) using a Python detector that flags unauthorized queries, data manipulation, and lateral-movement…

mukul975/Anthropic-Cybersecurity-Skills

Conducts a sector-specific threat landscape assessment (financial, healthcare, energy, government, etc.) by profiling targeting threat actors, mapping attack vectors and MITRE ATT&CK TTPs with the…

mukul975/Anthropic-Cybersecurity-Skills

Data ingestion patterns for loading data from cloud storage, APIs, files, and streaming sources into databases.

ancoleman/ai-design-components

Transform raw data into analytical assets using ETL/ELT patterns, SQL (dbt), Python (pandas/polars/PySpark), and orchestration (Airflow).

ancoleman/ai-design-components

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/Flowfile

Generates Python code using BigQuery DataFrames (BigFrames).

google/skills

SAP HANA Machine Learning Python Client (hana-ml) development skill.

secondsky/sap-skills

Detect unauthorized SaaS and cloud service usage (shadow IT) by parsing proxy access logs, DNS query logs, and firewall/netflow data with Python pandas to aggregate traffic by domain, classify…

mukul975/Anthropic-Cybersecurity-Skills

Builds network traffic baselines from NetFlow/IPFIX CSV or JSON exports using Python pandas, computing hourly/daily volume distributions, per-host and protocol/port statistics, and top-talker…

mukul975/Anthropic-Cybersecurity-Skills

C-optimized technical analysis with 150+ functions and 61 candlestick pattern recognition functions via TA-Lib

agiprolabs/claude-trading-skills

Pick how to write a figure before custom plot code. An agent skill from probabl-ai/skills.

probabl-ai/skills

Python data pipelines with modular architecture. An agent skill from jamditis/claude-skills-journalism.

jamditis/claude-skills-journalism

Loads mass-spectrometry data into Python/R and strips the search engine's bookkeeping before any number is trusted -- removes decoys (REV/Reverse), contaminants (CON/Potential contaminant)…

GPTomics/bioSkills

Builds and manages DIA spectral libraries as peptide query parameters (precursor m/z, a few fragment m/z plus relative intensities, normalized RT, optional CCS), covering experimental DDA…

GPTomics/bioSkills

A skill your agent uses when reading from or writing to Neo4j with Apache Spark or Databricks using the Neo4j Connector for Apache Spark 6.0 (org.neo4j.connectors:spark) or 5.x…

neo4j-contrib/neo4j-skills