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68 lines
1.8 KiB
Markdown
68 lines
1.8 KiB
Markdown
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---
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name: spark-builder
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display_name: Spark Builder
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description: Write PySpark and Spark SQL jobs — RDDs, DataFrames, streaming, MLlib, and cluster configuration.
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category: Data & Analytics
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platforms: [claude-code, api]
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version: 1.0.0
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author: Claude Code
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tags: [spark-builder]
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---
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# Spark Builder
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## Overview
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Write PySpark and Spark SQL jobs — RDDs, DataFrames, streaming, MLlib, and cluster configuration.
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## When to Use This Skill
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Use **Spark Builder** when you need to:
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- Work with spark builder tasks in your project or workflow
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- Automate spark builder operations at scale
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- Generate production-quality spark builder output quickly
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## Instructions
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When this skill is active, Claude will:
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1. Understand the full context of your spark builder request
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2. Apply best practices and conventions for Data & Analytics
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3. Produce clean, well-structured, production-ready output
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4. Explain key decisions and offer alternatives where relevant
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## Examples
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### Example 1 — Basic Usage
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**User:** Help me get started with spark builder.
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**Claude:** I'll walk you through the essential steps for spark builder in your context...
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### Example 2 — Advanced Usage
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**User:** I need a production-ready spark builder setup with full error handling.
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**Claude:** Here's a complete, production-hardened spark builder implementation...
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## Guidelines
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- Always validate inputs before processing
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- Follow the conventions of the target platform or language
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- Prefer explicit over implicit — clarity beats cleverness
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- Include comments for non-obvious logic
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- Suggest tests or validation steps where appropriate
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## Dependencies
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Required: python, pyspark
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## Platforms
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Available on: claude-code, api
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---
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*Part of the [claude-skills](https://github.com/inbharatai/claude-skills) collection — 183+ skills for Claude.*
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