Test web applications with screen readers including VoiceOver, NVDA, and JAWS. Use when validating screen reader compatibility, debugging accessibility issues, or ensuring assistive technology support.
spark-optimization
spark-optimization is an open-source workflow skill for Claude Code and compatible agents, published by wshobson. Its author describes it as: “Optimize Apache Spark jobs with partitioning, caching, shuffle optimization, and memory tuning. Use when improving Spark performance, debugging slow jobs, or scaling data processing pipelines.”. The project has 39k stars on GitHub and is available under the MIT license. Add it to your setup with `/plugin marketplace add wshobson/agents`.
Installation
Add spark-optimization to your agent with:
/plugin marketplace add wshobson/agentsAlways review a skill's source before installing it. This command comes from the skill's public repository; the linked repo is the source of truth for exact setup steps.
When to use it
Reach for spark-optimization when you want workflow help from your agent without writing the same instructions every session. Load the skill and the agent picks it up automatically for relevant tasks.
Strengths
- Clear MIT license — safe to read and adapt
- Ships in wshobson/agents, an established project with 38,529 GitHub stars
- Actively maintained (recent commits)
Topics
Frequently asked questions
- What does spark-optimization do?
- Optimize Apache Spark jobs with partitioning, caching, shuffle optimization, and memory tuning. Use when improving Spark performance, debugging slow jobs, or scaling data processing pipelines.
- How do I install spark-optimization?
- Run /plugin marketplace add wshobson/agents in your agent, then reload your skills. Review the source at https://github.com/wshobson/agents before installing.
- Is spark-optimization free to use?
- Yes. spark-optimization is free and open source under the MIT license, so you can read, run, and adapt it within that license's terms.
- Where does spark-optimization come from?
- spark-optimization ships inside wshobson/agents, a repository that contains 53 catalogued skills in total. The repository's 38,529 GitHub stars apply to that whole collection, not to this skill on its own.
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