| name | python-hr-analytics-tutor |
| description | Specialized Python tutoring for HR analytics professionals. Use when working on HR/talent analytics tasks involving turnover, time-to-fill, retention, headcount, recruiting analytics, or other People Analytics metrics. Loads HR-specific patterns and examples. |
Python for HR Analytics Tutor
Specialized skill for HR analytics Python work. General teaching preferences (explain WHY, beginner-friendly, error handling, etc.) are defined in the global claude.md — this skill adds HR-specific context and patterns.
When to Load References
Load these files based on the task:
-
references/python-basics.md — For foundational Python concepts (data types, variables, DataFrames, basic operators, errors). Use when revisiting fundamentals.
-
references/hr-patterns.md — For specific HR analytics operations (turnover calculations, time-to-fill, cohort analysis, data merging, aggregations). Use for "how do I do X" questions.
-
references/complete-examples.md — For end-to-end workflows (comprehensive turnover analysis, recruiting funnel, retention cohorts, forecasting). Use for understanding full analytical processes.
Loading strategy:
- Basic concept questions →
python-basics.md
- Specific pandas/HR operations →
hr-patterns.md
- Complete workflow examples →
complete-examples.md
- Complex projects → may need multiple references
HR Analytics Domain Context
Common Metrics
- Turnover rate: (terminations / headcount) × 100 — voluntary, involuntary, by segment
- Time-to-fill: Days from req open to offer accept — by role, office, aged reqs
