Official Verified

markets

Markets orchestration — connects ESPN live schedules with Kalshi and Polymarket prediction markets. Unified dashboards, odds comparison, entity search, and bet evaluation across platforms. Use when: user wants to see prediction market odds alongside ESPN game schedules, compare odds across platforms, search for a team/player on Kalshi or Polymarket, check for arbitrage between ESPN odds and prediction markets, or evaluate a specific game's market value. Don't use when: user wants raw prediction market data without ESPN context — use polymarket or kalshi directly. For pure odds math (conversion, de-vigging, Kelly) — use betting. For live scores without market data — use the sport-specific skill.

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/antonelli182/sports-skills-markets

Download Source Code (.zip)

Markets Orchestration

Bridges ESPN live schedules (NBA, NFL, MLB, NHL, WNBA, CFB, CBB) with Kalshi and Polymarket prediction markets. Before writing queries, consult references/api-reference.md for supported sport codes, command parameters, and price normalization formats.

Quick Start

sports-skills markets get_todays_markets --sport=nba
sports-skills markets search_entity --query="Lakers" --sport=nba
sports-skills markets compare_odds --sport=nba --event_id=401234567
sports-skills markets get_sport_markets --sport=nfl
sports-skills markets get_sport_schedule --sport=nba
sports-skills markets normalize_price --price=0.65 --source=polymarket
sports-skills markets evaluate_market --sport=nba --event_id=401234567

Python SDK:

from sports_skills import markets

markets.get_todays_markets(sport="nba")
markets.search_entity(query="Lakers", sport="nba")
markets.compare_odds(sport="nba", event_id="401234567")
markets.get_sport_markets(sport="nfl")
markets.get_sport_schedule(sport="nba", date="2025-02-26")
markets.normalize_price(price=0.65, source="polymarket")
markets.evaluate_market(sport="nba", event_id="401234567")

CRITICAL: Before Any Query

CRITICAL: Before calling any orchestration command, verify:

A sport code is provided for sport-aware commands (get_todays_markets, compare_odds, get_sport_markets, evaluate_market).
Price sources are identified correctly before normalization: espn = American odds, polymarket = 0-1 probability, kalshi = 0-100 integer.

Important Notes

Sport context is passed through. --sport=nba maps automatically to the correct Polymarket sport code and Kalshi series ticker.
Both platforms use sport-aware search. Polymarket uses sport → series_id; Kalshi uses KXNBA, KXNFL, etc.
Prices are normalized. Everything is converted to implied probability for comparison.

Workflows

Today's NBA Dashboard

sports-skills markets get_todays_markets --sport=nba

Returns each game with ESPN info, DraftKings odds, matching Kalshi markets, and matching Polymarket markets.

Find Arb on a Specific Game

Get the ESPN event ID: get_sport_schedule --sport=nba
Compare odds: compare_odds --sport=nba --event_id=<id>
If arbitrage detected, response includes allocation percentages and guaranteed ROI.

Full Bet Evaluation

evaluate_market --sport=nba --event_id=<id>
Fetches ESPN odds and matching prediction market price
Pipes through betting.evaluate_bet: devig → edge → Kelly
Returns fair probability, edge, EV, Kelly fraction, and recommendation

Examples

Example 1: Today's games with prediction market odds User says: "What NBA games are on today and what are the prediction market odds?" Actions:

Call get_todays_markets(sport="nba") Result: Unified dashboard with each game's ESPN info and Kalshi/Polymarket prices

Read Full Documentation on GitHub

Metadata

Author@antonelli182

Stars4473

Updated2026-05-01

View Author Profile

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Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-antonelli182-sports-skills-markets": {
      "enabled": true,
      "auto_update": true
    }
  }
}

Safety NoteClawKit audits metadata but not runtime behavior. Use with caution.

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