jeremylongshore

schema-validator

@jeremylongshore/schema-validator
jeremylongshore
1,004
123 forks
Updated 1/18/2026
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Validate schema validator operations. Auto-activating skill for Data Pipelines. Triggers on: schema validator, schema validator Part of the Data Pipelines skill category. Use when working with schema validator functionality. Trigger with phrases like "schema validator", "schema validator", "schema".

Installation

$skills install @jeremylongshore/schema-validator
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Details

Pathskills/11-data-pipelines/schema-validator/SKILL.md
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Scoped Name@jeremylongshore/schema-validator

Usage

After installing, this skill will be available to your AI coding assistant.

Verify installation:

skills list

Skill Instructions


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

Schema Validator

Overview

This skill provides automated assistance for schema validator tasks within the Data Pipelines domain.

When to Use

This skill activates automatically when you:

  • Mention "schema validator" in your request
  • Ask about schema validator 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 schema validator
  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 schema validator" 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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