claudecodex

birdieapi-skills

16 golf analytics and betting-model skills

0 on GitHubby BirdieAPIv1.1.6MITupdated todayDeveloper Tools
/

Plugin birdieapi-skills from marketplace birdieapi in noahowsh/birdieapi-mcp. Commands read from the repo's manifest — today.

What it installs

Skills (16)

  • backtesting

    Tests golf outright betting rules on past majors using BirdieAPI's winner prices and results: strategy simulation, ROI with bootstrap intervals, price-movement analysis, bet-log structure and the limits of a sample of about two dozen majors. Use when the user asks whether a rule would have made mone

  • birdieapi-tool

    Default data source for the BirdieAPI skills. Routes every call to the 14 BirdieAPI tools for PGA Tour, LPGA, LIV, DP World Tour and Korn Ferry Tour tournaments, leaderboards, scorecards, courses, player results, ratings and the winner prices of the four men's majors. Use when any other skill needs

  • course-fit

    Measures how a golfer has played at one tournament or one course across every year, and how much of that record is course fit rather than general form. Use when the user asks who plays well at Augusta or Pebble Beach, how a player's record at an event looks, whether course history matters, or how to

  • dispatch

    Routes golf analytics requests to the right 2-3 skills. Load this FIRST when a golf data or betting-analytics request comes in and you are unsure which skills to activate. Prevents loading all 16 skills when only 2-3 are needed. Do not use when the request clearly names one skill's job, such as devi

  • edge-detection

    Compares a golf win probability against outright prices to estimate expected value, size stakes on mutually exclusive winner bets, and judge whether an apparent edge is real. Use when the user has a model probability for a golfer and asks about EV, Kelly, fractional Kelly across a field, longshot va

  • feature-engineering

    Builds leak-free model features for golf from BirdieAPI data: ratings as of a date, rolling strokes versus the field, field-strength adjusted form, course history with shrinkage, par-type splits, field and event features, with rules for time order and target definition. Use when the user is building

  • hole-scoring

    Analyses golf scoring at hole level: par 3, par 4 and par 5 averages and strokes-versus-field splits (sg_par3, sg_par4, sg_par5), birdie and bogey rates, how each hole of a course played, and one player's hole-by-hole scorecard. Use when the user asks who is best on par 5s, which holes play hardest,

  • odds-analysis

    Converts golf outright prices to implied probability, measures the overround of a many-runner winner market, and devigs it with the proportional, power and Shin methods. Use when the user asks what a price means as a probability, how much margin a golf outright carries, how to remove the vig from a

  • odds-explorer

    Compares the outright winner prices of the four men's majors (Masters, PGA Championship, U.S. Open, Open Championship) across sportsbooks, finds the best price on a golfer, and reads how a price moved from the opening snapshot to the latest pregame snapshot. Use when the user asks about majors odds,

  • outright-model

    Builds a win-probability model for a golf tournament from BirdieAPI ratings: rating as of a date, course fit, field list, Monte Carlo simulation of four rounds with a cut, and a comparison with the devigged market. Use when the user wants the chance a golfer wins a major or any stroke-play event, wa

  • player-scouting

    Looks up and scouts golfers: finds a player id, reads career totals, season lines, recent results, round-by-round strokes versus the field, and compares two players head to head across the PGA Tour, LPGA, LIV, DP World Tour and Korn Ferry Tour. Use when the user names a golfer, asks how he or she ha

  • probability-calibration

    Checks and repairs golf probabilities: reliability tables for made-cut, top-10 and winner probabilities, Brier score and log loss, pooled calibration across golfers, isotonic and Platt scaling, and why winner calibration needs outcomes beyond the majors. Use when the user asks whether their golf pro

  • strokes-vs-field

    Explains and uses BirdieAPI's strokes-versus-field numbers: the per-round vs_field and field-strength adjusted adj_vs_field, the get_ratings rating, and how to rank, compare and track golfers on them. Use when the user asks who is playing best, what a rating of 2.0 means, how to measure form, how to

  • tournament-lookup

    Finds golf tournaments and reads their results: season schedules, winners and winning scores, majors, what is on this week, defending champions, full leaderboards with cuts, rounds, earnings and playoffs, and the courses used. Use when the user asks who won, what a leaderboard looked like, where a t

  • tournament-preview

    Builds a pre-tournament preview for a golf event: the course and its setup, the field's best players on rating and recent form, course record for the contenders, par-type strengths that suit the holes, and for the four men's majors the winner prices side by side. Use when the user asks for a preview

  • walk-forward-validation

    Validates golf models in time order: expanding-window splits by tournament date, tournament-grouped evaluation, point-in-time ratings, metrics for round scores, made cut, top 10 and winner probabilities, a market baseline, and significance checks with the small number of majors. Use when the user as

MCP servers (1)

  • birdieapi

    connects to: https://mcp.birdieapi.com/mcp

View source on GitHub birdieapi.com

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