spark-sql-optimizer
Optimize spark sql optimizer operations. Auto-activating skill for Data Pipelines. Triggers on: spark sql optimizer, spark sql optimizer Part of the Data Pipelines skill category. Use when working with spark sql optimizer functionality. Trigger with phrases like "spark sql optimizer", "spark optimizer", "spark". '
npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill spark-sql-optimizer --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Spark Sql Optimizer ## Overview This skill provides automated assistance for spark sql optimizer tasks within the Data Pipelines domain. ## When to Use This skill activates automatically when you: - Mention "spark sql optimizer" in your request - Ask about spark sql optimizer patterns or best practices - Need help with data pipeline skills covering etl, data transformation, workflow orchestratio
What does the spark-sql-optimizer skill do?
Optimize spark sql optimizer operations. Auto-activating skill for Data Pipelines. Triggers on: spark sql optimizer, spark sql optimizer Part of the Data Pipelines skill category. Use when working with spark sql optimizer functionality. Trigger with phrases like "spark sql optimizer", "spark optimizer", "spark". '
How do I install it?
Run `npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill spark-sql-optimizer --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From jeremylongshore/claude-code-plugins-plus-skills, a repository with 2,596 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.