Which platforms are supported by this skill?

It is optimized for modern data engineering stacks, including Apache Airflow, Spark, and various cloud-native streaming and batch processing frameworks.

Can it help with existing data pipelines?

Yes, the skill can analyze your current configurations and suggest specific improvements or code snippets to align your existing pipelines with industry monitoring best practices.

How does this skill improve pipeline reliability?

It automates the setup of health checks and alerting systems that notify you immediately when data flows are interrupted or performance degrades, reducing downtime.

Does it generate production-ready code?

Absolutely. The skill focuses on generating production-grade configurations and code that prioritize security, scalability, and maintainability.

Pipeline Monitoring Setup

Name: Pipeline Monitoring Setup
Author: jeremylongshore

byjeremylongshore

•

983

Analytics & Monitoring

Automates the configuration of observability frameworks for data pipelines to ensure reliable ETL processes and real-time alerting.

About

This skill provides Claude with specialized expertise to architect and implement robust monitoring solutions for complex data pipelines. It streamlines the setup of logging, health checks, and performance metrics across various platforms like Airflow or Spark, helping data engineers detect bottlenecks, failures, and data drift before they impact production environments. By following industry best practices, it ensures your data infrastructure remains transparent, maintainable, and highly available.

Key Features

Validation of monitoring setups against industry standards
Automated generation of observability configurations for data workflows
Step-by-step guidance for debugging pipeline performance bottlenecks
Best-practice integration for Airflow, Spark, and streaming frameworks
Real-time alerting and health check implementation patterns
983 GitHub stars

Use Cases

Implementing comprehensive logging and metrics for Spark transformations
Setting up automated alerts for failed ETL jobs in Apache Airflow
Monitoring data quality and drift in real-time streaming pipelines

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jeremylongshore/claude-code-plugins-plus-skills pipeline-monitoring-setup

For use in Claude.ai and ChatGPT

Download Skill

GitHub