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glue

Manage AWS Glue databases, tables, crawlers, and ETL jobs via AWS CLI.

3|Updated Mar 16, 2026
Search Tags:#aws#etl#workflows#glue#data-catalog#crawlers
One-click install
npx skills add https://github.com/david-2814/claw-aws --skill glue
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: glue
Source: https://github.com/david-2814/claw-aws/tree/main/skills/glue
Command: npx skills add https://github.com/david-2814/claw-aws --skill glue

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Efficiently manage AWS Glue data catalogs, databases, tables, crawlers, and ETL jobs from a single CLI-driven workflow to reduce manual setup and errors.

Core Features & Use Cases

  • Manage Glue databases, tables, and partitions in the data catalog
  • Create and run crawlers to discover and update schemas
  • Define and execute ETL jobs with Spark or Python shell
  • Orchestrate workflows and monitor results across data pipelines
  • Safely perform destructive operations with explicit confirmations and safeguards

Quick Start

Install AWS CLI v2, configure credentials, and start by running the provided Glue commands to manage your data catalog.

Frequently Asked Questions about glue

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

FAQPage Schema
How do I automate AWS Glue data catalog management and ETL tasks from the CLI?▼

You can automate AWS Glue data catalog management and ETL tasks using CLI-driven workflows to manage databases, tables, crawlers, and Spark or Python shell jobs from a single interface, reducing manual setup and errors.

What is the best way to run Glue crawlers to discover and update schemas across S3 and Redshift?▼

Running Glue crawlers via an automated CLI workflow discovers and updates schemas across S3, Redshift, and other data sources, populating the data catalog with minimal manual configuration required.

Do I need AWS CLI v2 and configured credentials to orchestrate Glue ETL workflows?▼

Yes, you need AWS CLI v2 installed and credentials configured to orchestrate Glue ETL workflows, which also satisfies the requirements for applying proper AWS Glue permissions and role setup guidance.

How does this workflow handle destructive operations when managing Glue databases and tables?▼

When managing Glue databases and tables, the workflow safely performs destructive operations by requiring explicit confirmations and applying built-in safeguards to prevent accidental data loss.

Can I define and execute ETL jobs with Spark or Python shell using AWS Glue commands?▼

Yes, you can define and execute ETL jobs with Spark or Python shell using AWS Glue commands, allowing you to orchestrate workflows and monitor results across data pipelines efficiently.

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