GitHub
zarr-python
Chunked N-D arrays for cloud storage. Compressed arrays, parallel I/O, S3/GCS integration, NumPy/Dask/Xarray compatible, for large-scale scientific computing pipelines.
☆ 18,942View skill
Search results for “Python”
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GitHub
senior-data-engineer
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. Includes data mode...
☆ 18,939View skill
GitHub
zarr-python
Chunked N-D arrays for cloud storage. Compressed arrays, parallel I/O, S3/GCS integration, NumPy/Dask/Xarray compatible, for large-scale scientific computing pipelines.
☆ 8,603View skill
GitHub
cosmos-db-python-skill
Build Azure Cosmos DB NoSQL services with Python/FastAPI following production-grade patterns. Use when implementing database client setup with dual auth (DefaultAzureCredential + emulator), service layer classe...
☆ 1,573View skill
GitHub
databricks-jobs
Use this skill proactively for ANY Databricks Jobs task - creating, listing, running, updating, or deleting jobs. Triggers include: (1) 'create a job' or 'new job', (2) 'list jobs' or 'show jobs', (3) 'run job'...
☆ 759View skill
GitHub
aws-dynamodb
AWS DynamoDB single-table design, GSI patterns, SDK v3 TypeScript/Python
☆ 481View skill
GitHub
temporal-python-pro
Master Temporal workflow orchestration with Python SDK. Implements durable workflows, saga patterns, and distributed transactions. Covers async/await, testing strategies, and production deployment. Use PROACTIV...
☆ 279View skill
GitHub
databricks-python-sdk
Databricks development guidance including Python SDK, Databricks Connect, CLI, and REST API. Use when working with databricks-sdk, databricks-connect, or Databricks APIs.
☆ 146View skill
GitHub
creating-bauplan-pipelines
Creates bauplan data pipeline projects with SQL and Python models. Use when starting a new pipeline, defining DAG transformations, writing models, or setting up bauplan project structure from scratch.
☆ 123View skill
GitHub
python-data-classes
Use when Python data modeling with dataclasses, attrs, and Pydantic. Use when creating data structures and models.
☆ 75View skill
GitHub
sap-hana-cloud-data-intelligence
Develops data processing pipelines, integrations, and machine learning scenarios in SAP Data Intelligence Cloud. Use when building graphs/pipelines with operators, integrating ABAP/S4HANA systems, creating repl...
☆ 43View skill
GitHub
data-transform
Transform raw data into analytical assets using ETL/ELT patterns, SQL (dbt), Python (pandas/polars/PySpark), and orchestration (Airflow). Use when building data pipelines, implementing incremental models, migra...
☆ 37View skill
GitHub
bigquery
Use bigquery CLI (instead of `bq`) for all Google BigQuery and GCP data warehouse operations including SQL query execution, data ingestion (streaming insert, bulk load, JSONL/CSV/Parquet), data extraction/expor...
☆ 36View skill
GitHub
data-analysis
Data processing, analysis, and visualization with Python/JavaScript. Use for data exploration, pandas operations, chart generation, and insights extraction.
☆ 32View skill
GitHub
python-backend
Python backend developer for FastAPI, Django, Flask APIs with SQLAlchemy, Django ORM, Pydantic validation. Implements REST APIs, async operations, database integration, authentication, data processing with pand...
☆ 28View skill
GitHub
data-pipeline-operations
Activates when working with Python data pipelines, GCS operations, or medallion architecture (Bronze/Silver/Gold). Use this skill for: running pipelines, debugging data transformations, GCS uploads/downloads, d...
☆ 27View skill
GitHub
dbt-materializations
Choosing and implementing dbt materializations (ephemeral, view, table, incremental, snapshots, Python models). Use this skill when deciding on materialization strategy, implementing incremental models, setting...
☆ 26View skill
GitHub
zarr-python
Chunked N-D arrays for cloud storage. Compressed arrays, parallel I/O, S3/GCS integration, NumPy/Dask/Xarray compatible, for large-scale scientific computing pipelines.
☆ 26View skill
GitHub
csv-data-wrangler
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 processing large tab...
☆ 21View skill
GitHub
polars-expertise
This skill should be used when the user asks about Polars DataFrame library (Apache Arrow) for Python or Rust. Triggers: "polars expressions", "lazy vs eager", "scan_parquet streaming", "convert pandas to polar...
☆ 20View skill
GitHub
grey-haven-database-conventions
Apply Grey Haven database conventions - snake_case fields, multi-tenant with tenant_id and RLS, proper indexing, migrations for Drizzle (TypeScript) and SQLModel (Python). Use when designing schemas, writing da...
☆ 19View skill
GitHub
everyrow-sdk
Helps write Python code using the everyrow SDK for AI-powered data processing - transforming, deduping, merging, ranking, and screening dataframes with natural language instructions
☆ 17View skill
GitHub
implement-connector
Implement a Python connector that conforms to the LakeflowConnect interface for data ingestion.
☆ 13View skill
GitHub
everyrow-sdk
Helps write Python code using the everyrow SDK for AI-powered data processing - transforming, deduping, merging, ranking, and screening dataframes with natural language instructions
☆ 12View skill
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