spark-optimization
๐ฏSkillfrom wshobson/agents
|A production-ready plugin system with 112 AI agents, 146 skills, 16 workflow orchestrators, and 79 development tools organized into 73 focused plugins for Claude Code.
Overview
A specialized skill from the wshobson/agents plugin marketplace that provides Apache Spark optimization expertise as part of a comprehensive production-ready system for Claude Code. It is one of 146 agent skills within a collection of 73 focused plugins combining 112 specialized AI agents with deep knowledge across data/AI, infrastructure, and performance domains.
Key Features
- Progressive Disclosure - Spark optimization knowledge loads only when activated, keeping token usage minimal
- Isolated Plugin Architecture - Installs only the specific data engineering agents and skills needed without loading unrelated resources
- Composable Workflows - Can be combined with other data/AI plugins for comprehensive ML pipeline and data processing operations
- Multi-Agent Orchestration - Part of a system including 16 workflow orchestrators for complex ML pipeline operations
- Single-Purpose Design - Follows the focused plugin pattern with clear boundaries and minimal context overhead
Who is this for?
This skill is designed for data engineers, data scientists, and backend developers who work with Apache Spark and need AI-assisted guidance for performance tuning and optimization. It is especially useful for teams running large-scale data processing or ML pipelines who want to optimize Spark job configurations through Claude Code.
Part of
wshobson-agents
Installation
npx vibeindex add wshobson/agents --skill spark-optimizationnpx skills add wshobson/agents --skill spark-optimization~/.claude/skills/spark-optimization/SKILL.mdSKILL.md
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