Metric Calculator
SkillDatabases & dataLets your agent calculate metrics from formulas, datasets, or test outputs you already have.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Metric Calculator skill
About this capability
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.
What this skill tells your AI
The instructions your AI receives, as published by foryourhealth111-pixel/vibe-skills in bundled/skills/metric-calculator/SKILL.md and read by ahel’s review.
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: useperforming-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-modelsfor ML benchmark metricscreating-data-visualizationsafter the numbers are finalized
Signals
- GitHub stars
- 3k
- Forks
- 277
- Last commit
- Aug 2026
Advanced
- Catalog kind
- skill
- Gateway key
metric-calculator- Source
- github.com/foryourhealth111-pixel/vibe-skills