Gives you live sports betting odds and prediction market data from Polymarket across NFL, NBA, MLB, soccer leagues, tennis, MMA, and more. No API key needed. Pull moneyline prices, spreads, totals, player props, and full order books. Prices come back as raw probabilities (0.65 = 65% chance), so no conversion needed. The main gotcha is you must pass the sport parameter to search_markets or you'll get zero results for single-game markets. Use this when someone asks "who's favored to win" or wants market sentiment, not for actual scores or match stats. Works well for comparing implied probabilities across different sportsbooks since Polymarket's crypto-native structure often shows different prices than traditional books.

skills.sh installs
1.4K
GitHub stars
268
last updated
Aug 21, 2026

Install

$ npx -y skills add machina-sports/sports-skills --skill polymarket --agent claude-code

Installs into .claude/skills of the current project.

Files

Polymarket — Sports Prediction Markets (Read-Only)

Before writing queries, consult references/api-reference.md for sport codes, command parameters, and price format.

This skill is intentionally read-only. It can fetch market metadata, implied probabilities, order books, and recent price/trade history from public Polymarket endpoints. It must not configure wallets or place/cancel orders.

Quick Start

Prefer the CLI — it avoids Python import path issues:

sports-skills polymarket search_markets --sport=nba --sports_market_types=moneyline
sports-skills polymarket get_todays_events --sport=epl
sports-skills polymarket search_markets --sport=epl --query="Leeds" --sports_market_types=moneyline
sports-skills polymarket get_sports_config

Python SDK (alternative):

from sports_skills import polymarket

polymarket.search_markets(sport='nba', sports_market_types='moneyline')
polymarket.get_todays_events(sport='epl')
polymarket.search_markets(sport='epl', query='Leeds')
polymarket.get_sports_config()

CRITICAL: Before Any Query

Sponsors

Details

Repository
github.com/machina-sports/sports-skills
Categories
Backend & APIs, Data Science & ML, Finance & Trading
First seen
May 16, 2026

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