Organize and categorize files into logical structures. Creates folder hierarchies, renames files systematically, and consolidates related data.
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data-engineer
0.23
Build scalable data pipelines, modern data warehouses, and
data-engineer
0.23
Build scalable data pipelines, modern data warehouses, and
Build robust processes for data cleaning, missing value imputation, outlier handling, and data transformation for data preprocessing, data quality, and data pipeline automation
senior-data-engineer
0.22
World-class data engineering skill for building scalable data pipelines, ETL/ELT systems, and data infrastructure. Expertise in Python, SQL, Spark, Airflow, dbt, Kafka, and modern data stack....
senior-data-engineer
0.22
World-class data engineering skill for building scalable data pipelines, ETL/ELT systems, and data infrastructure. Expertise in Python, SQL, Spark, Airflow, dbt, Kafka, and modern data stack....
ray-data
0.22
Scalable data processing for ML workloads. Streaming execution across CPU/GPU, supports Parquet/CSV/JSON/images. Integrates with Ray Train, PyTorch, TensorFlow. Scales from single machine to 100s...
ray-data
0.22
Scalable data processing for ML workloads. Streaming execution across CPU/GPU, supports Parquet/CSV/JSON/images. Integrates with Ray Train, PyTorch, TensorFlow. Scales from single machine to 100s...
data-engineer
0.22
Use when user needs scalable data pipeline development, ETL/ELT implementation, or data infrastructure design.
test-data-generation
0.22
Generate realistic, consistent test data using factories, fixtures, and fake data libraries. Use for test data, fixtures, mock data, faker, test builders, and seed data generation.
Use when starting technical work requiring structured approach - writing tests before code (TDD), planning data exploration (EDA), designing statistical analysis, clarifying modeling objectives...
Implement data quality validation with Great Expectations, dbt tests, and data contracts. Use when building data quality pipelines, implementing validation rules, or establishing data contracts.
Implement data quality validation with Great Expectations, dbt tests, and data contracts. Use when building data quality pipelines, implementing validation rules, or establishing data contracts.
exploring-data
0.22
Exploratory data analysis using ydata-profiling. Use when users upload .csv/.xlsx/.json/.parquet files or request "explore data", "analyze dataset", "EDA", "profile data". Generates interactive...
exploring-data
0.22
Exploratory data analysis using ydata-profiling. Use when users upload .csv/.xlsx/.json/.parquet files or request "explore data", "analyze dataset", "EDA", "profile data". Generates interactive...
data-engineer
0.22
Expert in data pipelines, ETL processes, and data infrastructure
data-engineering
0.21
Snowflake and DBT data engineering workflows covering warehouse sizing, query result caching optimization, STAR schema design, and DBT data quality testing patterns. Use when working with...
csv-data-wrangler
0.21
Expert in high-performance CSV processing, parsing, and data cleaning using Python, DuckDB, and command-line tools. Use when working with CSV files, cleaning data, transforming datasets, or...
Implement analytics, data analysis, and visualization best practices using Python, Jupyter, and modern data tools.
discover-data
0.21
Automatically discover data pipeline and ETL skills when working with ETL. Activates for data development tasks.