---
name: spark-builder
display_name: Spark Builder
description: Write PySpark and Spark SQL jobs — RDDs, DataFrames, streaming, MLlib, and cluster configuration.
category: Data & Analytics
platforms: [claude-code, api]
version: 1.0.0
author: Claude Code
tags: [spark-builder]
---

# Spark Builder

## Overview

Write PySpark and Spark SQL jobs — RDDs, DataFrames, streaming, MLlib, and cluster configuration.

## When to Use This Skill

Use **Spark Builder** when you need to:

- Work with spark builder tasks in your project or workflow
- Automate spark builder operations at scale
- Generate production-quality spark builder output quickly

## Instructions

When this skill is active, Claude will:

1. Understand the full context of your spark builder request
2. Apply best practices and conventions for Data & Analytics
3. Produce clean, well-structured, production-ready output
4. Explain key decisions and offer alternatives where relevant

## Examples

### Example 1 — Basic Usage

**User:** Help me get started with spark builder.

**Claude:** I'll walk you through the essential steps for spark builder in your context...

### Example 2 — Advanced Usage

**User:** I need a production-ready spark builder setup with full error handling.

**Claude:** Here's a complete, production-hardened spark builder implementation...

## Guidelines

- Always validate inputs before processing
- Follow the conventions of the target platform or language
- Prefer explicit over implicit — clarity beats cleverness
- Include comments for non-obvious logic
- Suggest tests or validation steps where appropriate

## Dependencies

Required: python, pyspark

## Platforms

Available on: claude-code, api

---

*Part of the [claude-skills](https://github.com/inbharatai/claude-skills) collection — 183+ skills for Claude.*