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jeremylongshore / metadata-extractor

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

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Source: https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/main/skills/11-data-pipelines/metadata-extractor

Skill Content

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

# Metadata Extractor

## Overview

This skill provides automated assistance for metadata extractor tasks within the Data Pipelines domain.

## When to Use

This skill activates automatically when you:
- Mention "metadata extractor" in your request
- Ask about metadata extractor 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 metadata extractor
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 metadata extractor"
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