Agent Skills: Data Catalog Updater

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UncategorizedID: jeremylongshore/claude-code-plugins-plus-skills/data-catalog-updater

Install this agent skill to your local

pnpm dlx add-skill https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/HEAD/skills/11-data-pipelines/data-catalog-updater

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skills/11-data-pipelines/data-catalog-updater/SKILL.md

Skill Metadata

Name
"data-catalog-updater"
Description
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Data Catalog Updater

Overview

This skill provides automated assistance for data catalog updater tasks within the Data Pipelines domain.

When to Use

This skill activates automatically when you:

  • Mention "data catalog updater" in your request
  • Ask about data catalog updater patterns or best practices
  • Need help with data pipeline skills covering etl, data transformation, workflow orchestration, and streaming data processing.

Instructions

  1. Provides step-by-step guidance for data catalog updater
  2. Follows industry best practices and patterns
  3. Generates production-ready code and configurations
  4. Validates outputs against common standards

Examples

Example: Basic Usage Request: "Help me with data catalog updater" Result: Provides step-by-step guidance and generates appropriate configurations

Prerequisites

  • Relevant development environment configured
  • Access to necessary tools and services
  • Basic understanding of data pipelines concepts

Output

  • Generated configurations and code
  • Best practice recommendations
  • Validation results

Error Handling

| Error | Cause | Solution | |-------|-------|----------| | Configuration invalid | Missing required fields | Check documentation for required parameters | | Tool not found | Dependency not installed | Install required tools per prerequisites | | Permission denied | Insufficient access | Verify credentials and permissions |

Resources

  • Official documentation for related tools
  • Best practices guides
  • Community examples and tutorials

Related Skills

Part of the Data Pipelines skill category. Tags: etl, airflow, spark, streaming, data-engineering