Show HN: Sports-skills.sh – sports data connectors for AI agents (github.com)

The launch of "sports-skills.sh," an open-source toolkit that enables AI agents to access live sports data and prediction markets, is making waves in the AI/ML community. This initiative provides a straightforward way to retrieve data from well-known sports sources like ESPN, FPL, and various public APIs without needing API keys or registration, making it highly accessible for developers and hobbyists. With support for sports including football, NFL, NBA, and Formula 1, it allows users to effortlessly query game scores, standings, and predictions through a simple command interface. This project is significant as it represents a step forward in the integration of public sports data into AI applications, providing developers with a structured means to enrich their agents with real-time data. It leverages the Agent Skills specification to ensure compatibility across multiple platforms, including Claude Code and GitHub Copilot. Furthermore, while currently intended for personal use, plans for a commercial version that incorporates licensed data are in the works, hinting at future professional applications in sports analytics and prediction markets.