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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