/metric-calculator

name: metric-calculator
description: |
  Compute well-defined metrics from existing formulas, datasets, or test outputs.
  Use as an explicit/manual helper when the metric definition is already known, not for choosing the overall analysis owner or dashboard strategy.
allowed-tools: Read, Write, Edit, Bash, Grep
version: 1.0.0
license: MIT
author: Jeremy Longshore <jeremy@intentsolutions.io>

Metric Calculator

Positioning

Treat this skill as an explicit/manual helper for narrow metric-computation work.

When to Use

Use this skill when:

• Calculating a named business, statistical, or QA metric from available data
• Converting raw counts into rates, ratios, deltas, or scorecards
• Verifying that a metric formula is implemented consistently across outputs

Not For / Boundaries

• Model evaluation strategy selection: use `evaluating-machine-learning-models`
• Full regression modeling ownership: use `scikit-learn`; causal analysis ownership: use `performing-causal-analysis`
• Chart design or presentation decisions: use `creating-data-visualizations`

Typical Outputs

• Metric definitions and formulas
• Reproducible calculation steps
• Sanity checks for units, denominators, and aggregation scope

Related Skills

• `evaluating-machine-learning-models` for ML benchmark metrics
• `creating-data-visualizations` after the numbers are finalized