sports-visualization

Installation
SKILL.md

Sports Visualization

Outcome

Create the smallest reproducible figure that answers a defined question without exaggerating the evidence. Every important figure states its period, sample size, metric definition, grain, and relevant baseline. Add uncertainty when the claim depends on noisy differences.

This skill constructs figures. Use anti-slop-analytics for an independent keep/fix/kill review and results-reporting for the surrounding narrative.

When to use this skill

Use for exploratory distributions, coverage plots, model diagnostics, calibration, ratings and form trajectories, team or player comparisons, walk-forward results, and publication figures. Do not start with chart type: start with the question and the unit represented by each mark.

Installs
28
GitHub Stars
49
First Seen
Aug 25, 2026
sports-visualization — walrusquant/sports-analytic-skills