mcpField
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schema-validator

schema-validator

github.com/jeremylongshoreData & databases2.9k36 installsUpdated 2d ago
Repository

About schema-validator

schema-validator is a skill for data pipeline work, offering step-by-step guidance, code and configuration generation, and checks against common standards. It is intended for people working on ETL, data transformation, orchestration, and streaming tasks.

Key features

  1. 01Step-by-step validator guidance
  2. 02Generate code and configurations
  3. 03Check outputs against common standards
  4. 04Provide best-practice recommendations

Use cases

  1. 01Plan validation in a data pipeline
  2. 02Generate configuration for ETL or streaming

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/jeremylongshore/tons-of-skills-marketplace --skill schema-validator

After installing, type/schema-validatorin Claude Code to confirm it loaded.

Details

From the project README

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

Comments

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