date-range-analyzer
Analyze date range analyzer operations. Auto-activating skill for Data Analytics. Triggers on: date range analyzer, date range analyzer Part of the Data Analytics skill category. Use when analyzing or auditing date range analyzer. Trigger with phrases like "date range analyzer", "date analyzer", "analyze date range r". '
npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill date-range-analyzer --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.
# Date Range Analyzer ## Overview This skill provides automated assistance for date range analyzer tasks within the Data Analytics domain. ## When to Use This skill activates automatically when you: - Mention "date range analyzer" in your request - Ask about date range analyzer patterns or best practices - Need help with data analytics skills covering sql queries, data visualization, statistical a
What does the date-range-analyzer skill do?
Analyze date range analyzer operations. Auto-activating skill for Data Analytics. Triggers on: date range analyzer, date range analyzer Part of the Data Analytics skill category. Use when analyzing or auditing date range analyzer. Trigger with phrases like "date range analyzer", "date analyzer", "analyze date range r". '
How do I install it?
Run `npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill date-range-analyzer --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.
