This is a solid end-to-end HR analytics pipeline that moves employee data through SQLite for KPI aggregation and into Python for visualization. You get department-level metrics like tasks per hour and absence rates, individual employee summaries with efficiency scores, and daily productivity tracking across teams. The SQL views are straightforward aggregations (AVG rating, SUM tasks, efficiency as tasks/hours), and the Python side uses pandas and matplotlib to generate charts like performance vs hours worked and efficiency distributions. It's practical if you're building HR dashboards from CSV exports and want a batteries-included analytics workflow rather than piecing together your own queries and plotting code.
npx -y skills add aradotso/data-skills --skill employee-performance-analytics-hr --agent claude-codeInstalls into .claude/skills of the current project.
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