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file-format-converter

file-format-converter

github.com/jeremylongshoreData & databases2.9k44 installsUpdated 2d ago
Repository

About file-format-converter

A skill for data pipeline work that guides file format conversion, generates code and configurations, and checks outputs against common standards.

Key features

  1. 01Step-by-step conversion guidance
  2. 02Code and configuration generation
  3. 03Common-standard validation
  4. 04Data pipeline best practices

Use cases

  1. 01Plan a file format conversion
  2. 02Generate conversion code and configuration
  3. 03Check outputs against common standards

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/jeremylongshore/tons-of-skills-marketplace --skill file-format-converter

After installing, type/file-format-converterin Claude Code to confirm it loaded.

Details

From the project README

File Format Converter

Overview

This skill provides automated assistance for file format converter tasks within the Data Pipelines domain.

When to Use

This skill activates automatically when you:

  • Mention "file format converter" in your request
  • Ask about file format converter 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 file format converter
  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 file format converter" 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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