10 actions in 10 pieces of software · ranked by words, meaning and measured trust · 594 ms
- 1retail-etl-medallion-pipelinedemo or tutorialno passport yet
skillreason-machines/data-skillsrecord
- retail-etl-medallion-pipeline
End-to-end retail ETL pipeline using Medallion Architecture (Bronze/Silver/Gold) with TSQL, PySpark, and Airflow for inventory, sales, and supplier data processing
- retail-etl-medallion-pipeline
- 2retail-etl-pipeline-medalliondemo or tutorialno passport yet
skillreason-machines/data-skillsrecord
- retail-etl-pipeline-medallion
End-to-end retail ETL pipeline using PySpark, SQL Server, and Medallion Architecture (Bronze/Silver/Gold layers) for data warehousing
- retail-etl-pipeline-medallion
APIaws/api-models-awsrecord229 stars
- CreatePipeline
Creates a new, empty pipeline. Use <a>PutPipelineDefinition</a> to populate the pipeline.
- CreatePipeline
skillclaude-office-skills/skillsrecord
- etl-pipeline
Design and automate Extract, Transform, Load data pipelines for data integration and analytics
- etl-pipeline
- 5data-engineering-medallion-pipelinedemo or tutorialno passport yet
skillreason-machines/data-skillsrecord
- data-engineering-medallion-pipeline
End-to-end data engineering pipeline using MinIO, Airbyte, PostgreSQL, DBT, and Airflow with medallion architecture (Bronze/Silver/Gold layers)
- data-engineering-medallion-pipeline
skillclaude-office-skills/skillsrecord
- data-pipeline
Data pipeline and ETL automation - extract, transform, load workflows for data integration and analytics
- data-pipeline
skillmbfinotti/revops-skillsrecord
- sales-pipeline-hygiene
Run a periodic, checklist-based hygiene audit over an active pipeline snapshot - stale deals (no stage, close date, or amount change, not logged touches) flagged against segment-specific stage medians, close-date push-count anomalies, and missing forecast-critical fields - producing an exception lis
- sales-pipeline-hygiene
skillsickn33/agentic-awesome-skillsrecord
- machine-learning-ops-ml-pipeline
Design and implement a complete ML pipeline for: $ARGUMENTS
- machine-learning-ops-ml-pipeline
skilljeffallan/claude-skillsrecord
- ml-pipeline
Designs and implements production-grade ML pipeline infrastructure: configures experiment tracking with MLflow or Weights & Biases, creates Kubeflow or Airflow DAGs for training orchestration, builds feature store schemas with Feast, deploys model registries, and automates retraining and validation
- ml-pipeline
skillopen-mercato/skillsrecord
- om-pipeline-retro
Classify finished pipeline runs from the configured tracker — clean single pass, hard recovery, loop checkpoints, or cause not recorded — and rank what the second passes cost in wall-clock hours. Read-only; hands the top cause to om-prepare-issue. Use for "pipeline retro", "why is our pipeline slow"
- om-pipeline-retro
Labels are the instruments' verdict and are never changed by ranking. Agents and robots get this same answer as JSON at /api/v1/find?q=…&answer=1 and through the MCP server.