dask

21.8k

davila7

Parallel/distributed computing. Scale pandas/NumPy beyond memory, parallel DataFrames/Arrays, multi-file processing, task graphs, for larger-than-RAM datasets and parallel workflows.

pandas-pro

4.1k

Jeffallan

Use when working with pandas DataFrames, data cleaning, aggregation, merging, or time series analysis. Invoke for data manipulation, missing value handling, groupby operations, or performance optimization.

pdf

571

benchflow-ai

ALWAYS use this skill instead of the Read tool for PDF files. The Read tool cannot extract PDF tables properly. Use this skill when: (1) Reading ANY PDF file, (2) Extracting tables from PDFs, (3) Converting PDF tables to pandas DataFrames, (4) Processing multi-page PDFs

displaying-streamlit-data

93

streamlit

Displaying charts, dataframes, and metrics in Streamlit. Use when visualizing data, configuring dataframe columns, or adding sparklines to metrics. Covers native charts, Altair, and column configuration.

JSON Parser

46

datadrivenconstruction

Parse and validate JSON data from construction APIs, IoT sensors, and BIM exports. Transform nested JSON to flat DataFrames.

df-merger

46

datadrivenconstruction

Merge pandas DataFrames from multiple construction sources. Handle different schemas, keys, and data quality issues.

xml-reader

46

datadrivenconstruction

Read and parse XML from construction systems - P6 schedules, BSDD exports, IFC-XML, COBie-XML. Convert to pandas DataFrames.

ebfe_validate_models

43

gpt-cmdr

Validate organized eBFE/BLE model using ras-commander dataframes. Uses init_ras_project() then checks plan_df, boundary_df, rasmap_df to verify: - All plan files exist - All DSS files exist with relative paths - All terrain files exist with relative paths - All HDF results accessible - No absolute paths (would cause GUI popups) Use after organizing eBFE model to verify it's actually runnable. Generates validation report and script for user re-verification.

apache-spark-data-processing

40

manutej

Complete guide for Apache Spark data processing including RDDs, DataFrames, Spark SQL, streaming, MLlib, and production deployment

data-profiler

27

majesticlabs-dev

Generate data profiles with column statistics, correlations, and missing-data patterns for DataFrames. Use for EDA and data discovery.

microdf

21

PolicyEngine

Weighted pandas DataFrames for survey microdata analysis - inequality, poverty, and distributional calculations

everyrow-sdk

17

futuresearch

Helps write Python code using the everyrow SDK for AI-powered data processing - transforming, deduping, merging, ranking, and screening dataframes with natural language instructions

pytd

13

treasure-data

Expert assistance for using pytd (Python SDK) to query and import data with Treasure Data. Use this skill when users need help with Python-based data analysis, querying Presto/Hive, importing pandas DataFrames, bulk data uploads, or integrating TD with Python analytical workflows.

pandas-ai

9

TerminalSkills

PandasAI enables natural language queries on pandas DataFrames using LLMs. Learn to ask questions in plain English, generate charts, clean data, and integrate with OpenAI and local models for conversational data analysis.

acsets-hatchery

7

plurigrid

Attributed C-Sets as algebraic databases. Category-theoretic data structures generalizing graphs and dataframes with Gay.jl color integration.

eda-basic

7

nmlemus

Basic exploratory data analysis for pandas DataFrames

pandas-pro

4

ngxtm

Use when working with pandas DataFrames, data cleaning, aggregation, merging, or time series analysis. Invoke for data manipulation, missing value handling, groupby operations, or performance optimization.

python-data-engineering

1

dtsong

Use this skill when writing Python code for data pipelines or transformations. Covers Polars, Pandas, PySpark DataFrames, dbt Python models, API extraction scripts, and data validation with Pydantic or Pandera. Common phrases: "Polars vs Pandas", "PySpark DataFrame", "validate this data", "Python extraction script". Do NOT use for SQL-based dbt models (use dbt-transforms) or integration architecture (use data-integration).

pandas

assadsharif

Expert pandas data manipulation and analysis guidance. Generate DataFrame operations, data cleaning pipelines, I/O code, groupby aggregations, merge/join patterns, reshaping, time series analysis, and performance optimization. This skill should be used when users ask to work with DataFrames, clean data, merge datasets, aggregate data, read/write CSV/ Excel/Parquet/SQL, or optimize pandas code. Triggers on: "pandas", "dataframe", "csv", "data cleaning", "groupby", "merge dataframes", "pivot table", "read csv", "data analysis".

xml-reader

jdmorag97-rgb

Read and parse XML from construction systems - P6 schedules, BSDD exports, IFC-XML, COBie-XML. Convert to pandas DataFrames.

json-parser

jdmorag97-rgb

Parse and validate JSON data from construction APIs, IoT sensors, and BIM exports. Transform nested JSON to flat DataFrames.

df-merger

jdmorag97-rgb

Merge pandas DataFrames from multiple construction sources. Handle different schemas, keys, and data quality issues.

pandas-pro

ARazaAnjum

Use when working with pandas DataFrames, data cleaning, aggregation, merging, or time series analysis. Invoke for data manipulation, missing value handling, groupby operations, or performance optimization.