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Airflow Dag Builder

airflow-dag-generator

jeremylongshore/claude-code-plugins-plus-skills

Automates the creation of Airflow DAGs for ETL and streaming data workflows, offering best-practice guidance, production-ready code samples, and validation against common pipeline standards.

Apache Airflow DAG Best Practices

airflow-dag-patterns

sickn33/antigravity-awesome-skills

A comprehensive guide to building production-ready Apache Airflow Directed Acyclic Graphs (DAGs). This skill covers best practices for operators, sensors, testing, deployment, and designing robust data pipelines. Use this when orchestrating complex workflows, managing ETL processes, or ensuring reliable batch job execution in a production environment.

Airflow Operator Creator

airflow-operator-creator

jeremylongshore/claude-code-plugins-plus-skills

Guides you through building Airflow operators for data pipelines with automated best practices, production-ready code/config generation, and validation for ETL, transformation, orchestration, and streaming scenarios.

Azure ML Deployer

azure-ml-deployer

jeremylongshore/claude-code-plugins-plus-skills

Automates Azure ML Deployer workflows by offering best-practice guidance, code/config generation, and validation for serving, MLOps pipelines, monitoring, and production optimization.

Azure ML Deployer

azure-ml-deployer

jeremylongshore/claude-code-plugins-plus-skills

Automates Azure ML Deployer workflows by offering best-practice guidance, code/config generation, and validation for serving, MLOps pipelines, monitoring, and production optimization.

CDC Pipeline Creator

cdc-pipeline-creator

jeremylongshore/claude-code-plugins-plus-skills

Automates change-data-capture pipeline planning by guiding developers through ETL, orchestration, and streaming best practices, then generating validated configs and code when “cdc pipeline creator” is requested.

Beam Pipeline Builder

beam-pipeline-builder

jeremylongshore/claude-code-plugins-plus-skills

Automates beam pipeline builder tasks by guiding best practices, generating production-ready code, and validating ETL, transformation, orchestration, and streaming workflows.

Clay Pitfalls: Avoiding Data Enrichment Mistakes

clay-known-pitfalls

jeremylongshore/claude-code-plugins-plus-skills

This comprehensive guide identifies and explains common anti-patterns, gotchas, and integration mistakes when using Clay's data enrichment platform. It details the root causes of credit waste, workflow failures, and data loss, providing actionable fixes for auditing configurations, onboarding new team members, or optimizing existing pipelines.

Clay Enrichment Observability Metrics

clay-observability

jeremylongshore/claude-code-plugins-plus-skills

Provides comprehensive monitoring for the Clay data enrichment pipeline. It tracks critical operational metrics such as credit consumption velocity, enrichment success rates (hit rates), data quality scores, and lead distribution. Essential for cost control and ensuring pipeline health in data-intensive CRM workflows.

Data Pipeline Policy Guardrails

clay-policy-guardrails

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive system for implementing policy guardrails in data enrichment pipelines. It enforces critical controls including credit spending limits, blocks the enrichment of sensitive PII (e.g., SSN, bank details), and validates input data quality. Essential for maintaining compliance (GDPR/CCPA) and managing costs when processing large volumes of personal and business data.

Clay Production Readiness Checklist

clay-prod-checklist

jeremylongshore/claude-code-plugins-plus-skills

This comprehensive checklist guides users through validating and preparing Clay enrichment pipelines for a production launch. It covers critical areas including table schema finalization, data quality gates (validation, deduplication), credit cost management, webhook reliability testing, and establishing robust monitoring and alerting procedures before going live.

AutoML Pipeline Builder

building-automl-pipelines

jeremylongshore/claude-code-plugins-plus-skills

Builds AutoML pipelines by analyzing user requests, generating code for data preparation, model selection, hyperparameter tuning, validation, and metrics, then documenting artifacts for streamlined automated machine learning workflows.

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