FREE · OPEN SOURCE · AGENT SKILLS

Sports analytics skills your agent can actually run.

Install the pack, point an agent at your data, and get focused guidance for EDA, time-safe features, baselines, walk-forward validation, leakage checks, calibration, and honest reporting.

Install the pack Read the docs →

24standalone skills

NFL · NBA · MLBpublic data paths

$0price forever

MITopen source

WHAT YOU GET

A jumpstart for serious sports modeling.

Not a black-box picks engine. Operator manuals your agent can follow — on data you own.

Install into any agent

Works with Claude Code, Cursor, and agents that support the Agent Skills standard. One command. No clone required for skill-only use.

Point it at your data

Skills consume CSV, Parquet, or JSON you already have. Each skill documents the grain and fields it needs.

Time-safe by default

Decision-time legality, walk-forward validation, leakage audits, and calibration checks are first-class.

Baselines before complexity

Constant rates, home-field, and simple statistical baselines come before fancy models.

Public data paths

Skills for nflverse, sportsdataverse, and pybaseball. Optional sports_ds toolkit if you want prebuilt loaders.

Honest reporting

Model cards, experiment logs, miss analysis, sample sizes, uncertainty, and limits. Built to kill sloppy analytics.

COMPOSABLE PATH

Use only what the task needs.

Skills are independently invocable. Chain them when the question demands it.

01
Lock the question
sports-modeling-doctrine — target, decision time, baseline, success criteria.
02
Get or audit data
data-sources, nflreadpy, eda-sports — grain, coverage, red flags.
03
Build legal features
feature-rules, time-series-sports, ratings-strength-models — knowable at time T.
04
Model under honest splits
baseline-models, predictive-modeling, validation-design — walk-forward, not shuffle.
05
Stress-test and report
leakage-audit, calibration-check, results-reporting, model-card.

READ THIS FIRST

What this is / is not.

Scaffolding so you can learn the workflow and build your own work. No claimed betting edge. No guaranteed profit. No finished market models.

This is

A free jumpstart for sports analytics with agents
Operator manuals for EDA, features, models, validation
A way to learn leakage, calibration, and honest reporting
Optional public-data helpers for NFL, NBA, MLB
Yours to fork, extend, and break on your own data

This is not

A betting tip service or guaranteed edge engine
A black-box model that prints money
Custom sport/market build-on-request support
A hosted dashboard or pick seller
Permission to skip learning how validation works

24 SKILLS

The full pack.

Browse here. Full operator manuals live in each skill’s SKILL.md. Docs skill index →

Foundation & data

sports-modeling-doctrineLock question, target, decision time, baseline

environment-setupPortable analysis environment

data-sourcesChoose public source and grain

nflreadpyLoad NFL data from nflverse

sportsdataverse-pyMulti-sport public data

pybaseballStatcast and MLB tables

sports-ds-bridgeOptional sports_ds toolkit bridge

Exploration & features

eda-sportsCoverage, grain, missingness, red flags

sports-visualizationHonest charts with uncertainty

anti-slop-analyticsKill chartjunk and bad claims

feature-rulesDecision-time-legal features

time-series-sportsShifted rolling and EWMA form

ratings-strength-modelsAs-of Elo and strength ratings

Modeling & validation

baseline-modelsConstant, home, simple baselines

statistical-modelingGLMs, diagnostics, uncertainty

predictive-modelingModels under honest time splits

validation-designWalk-forward folds and metrics

leakage-auditLook-ahead and join leakage

calibration-checkProbability reliability

simulation-sportsSeason and matchup simulation

Interpretation & reporting

model-interpretationDrivers, slices, largest misses

results-reportingReproducible results and limits

model-cardDurable model contract

experiment-logReproducible experiment history

GET STARTED

One command.

No repo clone required for skill-only use.

# Interactive
npx skills add WalrusQuant/sports-analytic-skills

# One skill
npx skills add WalrusQuant/sports-analytic-skills --skill eda-sports -y

# Entire pack
npx skills add WalrusQuant/sports-analytic-skills --all

Full getting-started guide →

OPEN SOURCE RESEARCH SOFTWARE

Learn the craft. Build your own.

View the repository

This is a free jumpstart for sports analytics workflows — not a betting product and not a claim of edge.