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dataproc-skills

Automates Dataproc cluster and job management via Node.js command-line scripts.

19|3|Updated May 17, 2026
Search Tags:#gcp#data engineering#google cloud#cluster management#job monitoring#dataproc#cloud scripts
One-click install
npx skills add https://github.com/cline/skills --skill dataproc-skills
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: dataproc-skills
Source: https://github.com/cline/skills/tree/main/skills/dataproc-skills
Command: npx skills add https://github.com/cline/skills --skill dataproc-skills

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill eliminates the need to manually navigate the Google Cloud Console or write complex gcloud commands to interact with Dataproc clusters and jobs, reducing friction for cloud engineers and data teams managing GCP data processing workloads.

Core Features & Use Cases

  • Cluster Management: Retrieve details for a specific Dataproc cluster or list all clusters with optional filters for status, name, or labels to quickly assess resource availability.
  • Job Tracking: Fetch individual Dataproc job details or list jobs filtered by state, cluster name, or labels to monitor workflow execution and debug processing failures.
  • Use Case: A data engineer can use this Skill to quickly check the status of all running Dataproc jobs associated with a specific cluster to identify bottlenecks in their data pipeline.

Quick Start

Use the dataproc-skills skill to list all active Dataproc clusters in your current GCP project and region.

Frequently Asked Questions about dataproc-skills

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I list active Dataproc clusters without navigating the Google Cloud Console?▼

Monitor Dataproc job status by running scripts that fetch individual job details or list jobs filtered by state and cluster name. This tracks workflow execution and helps debug processing failures without manually writing complex gcloud commands.

Can I filter Dataproc job monitoring by cluster name and state?▼

You need a Node.js runtime and valid GCP credentials configured via environment variables. These prerequisites allow the scripts to authenticate and invoke prebuilt Dataproc API operations through the toolbox SDK.

Do I need Node.js and GCP credentials to run Dataproc cluster management scripts?▼

Dataproc scripts automate cluster inventory management and job tracking through prebuilt API operations, replacing manual Google Cloud Console navigation. This reduces friction for cloud engineers troubleshooting data processing workloads and managing pipeline resources.

What is the best way to automate Dataproc cluster inventory management?▼

You need a Node.js runtime and valid GCP credentials configured via environment variables. These prerequisites allow the scripts to authenticate and invoke prebuilt Dataproc API operations through the toolbox SDK.

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