Builds a pre-game preview for one NFL matchup: schedule, form, efficiency, head-to-head, injuries, depth chart, rest, weather and betting lines in one brief. Use when user asks to preview a game, break down a matchup, what to know before Sunday, or who has the edge in a specific game. Do not use for a full model, see feature-engineering. Do not use for price shopping, see odds-explorer. Do not use for college games, see college-football.
Reads Next Gen Stats tracking data and Pro Football Reference advanced stats for NFL passers, rushers and receivers: time to throw, air yards, CPOE, rush yards over expected, separation, cushion, yards after catch above expectation, pressures, drops, bad throws. Use when user asks about separation, time to throw, rush yards over expected, pressure rate, drop rate, or why a player's box score does not match how he plays. Do not use for EPA or success rate, see epa-analysis. Do not use for season totals and rankings, see player-scouting. Do not use for college football, which has no tracking data.
Converts American odds to implied probability, removes the vig (devigging), computes hold, no-vig fair lines, spread and total price conversions, and key-number value for NFL markets. Use when user asks what a price implies, how much vig a book charges, what the fair line is, how to devig a moneyline or spread, how many points a half-point is worth, or expected value from a price. Do not use for finding the best book, see odds-explorer. Do not use for model versus market, see edge-detection. Do not use for props, see prop-modeling.
Compares NFL spreads, totals and moneylines across sportsbooks, finds the best price, reads opening-to-closing movement, and browses alternate lines. Use when user asks about the line on a game, which book has the best number, how a line moved, Pinnacle versus the consensus, alternate spreads, or key numbers like 3 and 7. Do not use for devigging or implied probability math, see odds-analysis. Do not use for model versus market edge, see edge-detection. Do not use for player props, see prop-modeling.
Searches NFL players and builds scouting profiles from weekly stats, season totals, leaderboards, snap counts, injuries and depth charts. Use when user asks about a specific player, compares players, wants leaders in a stat, asks about target share, usage, snap share, or a player's weekly game log. Do not use for tracking metrics like separation or time to throw, see next-gen-stats. Do not use for prop lines, see prop-modeling. Do not use for college players, see college-football.
Checks and repairs predicted probabilities for NFL outcomes: reliability tables, Brier score, log loss, expected calibration error, Platt scaling, isotonic regression, and sample-size limits. Use when user asks if a model's 65% means 65%, how to calibrate, Brier score, log loss, why a model is overconfident, or before sizing bets from model output. Do not use for building the model, see feature-engineering. Do not use for time-ordered testing, see walk-forward-validation. Do not use for turning odds into probability, see odds-analysis.
Builds NFL player prop models for passing yards, passing touchdowns, rushing yards, receiving yards, receptions and anytime touchdown, using prop history, usage, snap share, game script from the spread and total, and injuries. Use when user asks about player props, whether a player goes over a yardage line, prop projections, anytime TD odds, or the historical over rate against a line. Do not use for team game prediction, see feature-engineering. Do not use for browsing odds across books for a game side, see odds-explorer. Do not use for player profiles without a line, see player-scouting.
Evaluates sports models in time order: expanding or rolling windows, season-by-season holdouts, bye weeks and season rollover, baselines, and significance. Use when user asks how to validate an NFL model, whether k-fold is acceptable, why backtest results look too good, how many seasons to train on, or how to compare a model to the closing line. Do not use for building features, see feature-engineering. Do not use for betting profit simulation, see backtesting. Do not use for probability checks, see probability-calibration.
Plain text files in a repository that tell a coding agent how the project works: commands to run, conventions to follow and things to avoid. CLAUDE.md, AGENTS.md, cursor rules and skills are the common kinds.
CLAUDE.md or AGENTS.md?
CLAUDE.md is read by Claude Code. AGENTS.md is an open format that Codex, Cursor and other agents read. Many projects keep one and point the other at it.
What is a skill?
A folder with a SKILL.md that describes one capability, such as filling PDFs or reviewing code. The agent loads it only when the task calls for it.
Can I search my own team's files too?
Your agents already can, over MCP, limited to the files you're allowed to read. Searching them from this page is coming.
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