pivot-table-creator
Create pivot table creator operations. Auto-activating skill for Data Analytics. Triggers on: pivot table creator, pivot table creator Part of the Data Analytics skill category. Use when working with pivot table creator functionality. Trigger with phrases like "pivot table creator", "pivot creator", "pivot". '
Profile →npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill pivot-table-creator --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.
# Pivot Table Creator ## Overview This skill provides automated assistance for pivot table creator tasks within the Data Analytics domain. ## When to Use This skill activates automatically when you: - Mention "pivot table creator" in your request - Ask about pivot table creator patterns or best practices - Need help with data analytics skills covering sql queries, data visualization, statistical a
What does the pivot-table-creator skill do?
Create pivot table creator operations. Auto-activating skill for Data Analytics. Triggers on: pivot table creator, pivot table creator Part of the Data Analytics skill category. Use when working with pivot table creator functionality. Trigger with phrases like "pivot table creator", "pivot creator", "pivot". '
How do I install it?
Run `npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill pivot-table-creator --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.