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