How does it handle resource management in Kubernetes?

It implements best practices for setting resource requests and limits, ensuring your data workloads remain stable and preventing common issues like OOMKilled errors.

Can I use this for scheduling periodic ETL jobs?

Absolutely. This skill includes pre-configured Kubernetes CronJob templates designed specifically for recurring data engineering tasks and batch processing.

Does this skill support multi-stage Docker builds?

Yes, it provides specific templates and guidance for implementing multi-stage builds to minimize image size and improve security for data applications.

Does it include support for local development environments?

Yes, it provides Docker Compose patterns for setting up local data stacks, including services like Postgres, Redis, and Airflow workers.

Data Application Containerization

Name: Data Application Containerization
Author: pluginagentmarketplace

bypluginagentmarketplace

•

部署与 DevOps

Architects and deploys production-grade Docker images and Kubernetes orchestration for complex data engineering workloads.

This skill enables Claude to handle the complexities of cloud-native data infrastructure, focusing on Docker and Kubernetes best practices. It provides implementation patterns for optimized PySpark Dockerfiles, multi-stage builds, and Kubernetes orchestration specifically for ETL pipelines. Whether you are managing container lifecycles with Helm, scheduling recurring data jobs via K8s CronJobs, or debugging deployment failures, this skill provides the domain-specific knowledge required to move data applications from local development to production-scale environments.

主要功能

01Helm chart structuring for standardized infrastructure management

02Multi-stage build patterns for secure, lightweight production images

03Kubernetes Deployment and ETL CronJob orchestration templates

042 GitHub stars

05Optimized Dockerfile generation for PySpark and Python data applications

06Advanced troubleshooting and debugging guides for containerized workloads

使用场景

01Deploying scalable ETL pipelines to production Kubernetes clusters

02Automating recurring data processing tasks with Kubernetes CronJobs

03Setting up complex local development environments using Docker Compose

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add pluginagentmarketplace/custom-plugin-data-engineer containerization

For use in Claude.ai and ChatGPT

Download Skill