sports-skills-marketsMarkets orchestration — connects ESPN live schedules with Kalshi and Polymarket prediction markets. Unified dashboards, odds comparison, entity search, and b...
Install via ClawdBot CLI:
clawdbot install antonelli182/sports-skills-marketsGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Aug 1, 2026
A bettor uses the markets skill to monitor ESPN game odds and prediction market prices simultaneously. The skill automatically detects arbitrage opportunities when odds differ, providing allocation percentages and guaranteed ROI, enabling quick, risk-free profit taking.
A sports news website or app integrates the skill to display prediction market odds alongside live game schedules. This provides readers with a comprehensive view of game expectations and betting trends, increasing engagement and time spent on the site.
Fantasy sports players use the skill to evaluate player and team performance expectations through market odds. By comparing ESPN odds and prediction market probabilities, they gain insights to make informed lineup and trade decisions.
A quantitative trading firm or sports analytics company uses the skill to aggregate and normalize odds data from multiple sources for modeling and analysis. The skill's price normalization to implied probability simplifies data integration and enables consistent comparisons.
Broadcasters integrate the skill into their pre-game shows to display live prediction market odds and arbitrage opportunities. This adds a dynamic, data-driven layer to commentary, enhancing viewer experience and providing actionable insights.
Offer a premium service providing real-time arbitrage alerts, deep market analysis, and historical odds comparisons using the skill. Subscribers gain a competitive edge in sports betting.
Integrate the skill into a sports betting affiliate website that displays odds and arbitrage opportunities. When users click through to betting platforms, earn a commission on their deposits or wagers.
Provide the skill's aggregated and normalized data to other businesses (e.g., sportsbooks, media outlets) via API. Charge licensing fees for raw data access and integration support.
💬 Integration Tip
Start with the CLI to understand the workflows, then leverage the Python SDK to integrate into your existing architecture, ensuring sport codes are correctly mapped to avoid data gaps.
Scored Aug 1, 2026
Query and trade on Polymarket prediction markets — check odds, trending markets, search events, view order books, place trades, and manage positions. Now ava...
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