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데이터 및 연구 · SKILL.md

data-catalog-updater

data-catalog-updater

Process data catalog updater operations. Auto-activating skill for Data Pipelines. Triggers on: data catalog updater, data catalog updater Part of the Data Pipelines skill category. Use when working with data catalog updater functionality. Trigger with phrases like "data catalog updater", "data updater", "data".

Independent GitHub snapshot · Automated classification · Original documentation governs

Skill 문서

GitHub

name: "data-catalog-updater" description: | Process data catalog updater operations. Auto-activating skill for Data Pipelines. Triggers on: data catalog updater, data catalog updater Part of the Data Pipelines skill category. Use when working with data catalog updater functionality. Trigger with phrases like "data catalog updater", "data updater", "data". allowed-tools: "Read, Write, Edit, Bash(cmd:*), Grep" version: 1.0.0 license: MIT author: "Jeremy Longshore jeremy@intentsolutions.io"

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

ErrorCauseSolution
Configuration invalidMissing required fieldsCheck documentation for required parameters
Tool not foundDependency not installedInstall required tools per prerequisites
Permission deniedInsufficient accessVerify 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

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