machina-sports

machina-sports / sports-skills

Public

Open-source agent skills for live sports data and prediction markets. Football, F1, Kalshi, Polymarket. Zero API keys. SKILL.md format.

sports-skills.sh
37
2
89% credibility
Found Feb 17, 2026 at 13 stars 3x -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

This repository provides open-source skills for AI agents to access public sports data including football stats across multiple leagues, Formula 1 results, prediction market odds from Kalshi and Polymarket, and sports news feeds.

How It Works

1
🔍 Discover sports skills

You hear about free tools that let your AI helper fetch live sports info like match scores and betting odds without hassle.

2
📱 Add to your AI

With one simple click or command in your AI chat or editor, you add these sports tools so your helper can grab real-time data.

3
💬 Ask about today's games

You chat with your AI like 'Show Premier League matches today' and it instantly pulls schedules, standings, and stats.

4
⚽ Get football details

Your AI shares player stats, lineups, expected goals, injuries, and transfers across major leagues.

5
🏁 Check F1 or markets

Ask for F1 lap times or prediction odds from sites like Kalshi, and see live prices and news feeds.

🎉 Sports insights at your fingertips

Now your AI is your personal sports expert, delivering up-to-date info anytime without searching websites yourself.

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AI-Generated Review

What is sports-skills?

This Python package delivers open-source agent skills for pulling live sports data and prediction market odds—no API keys or signups needed. It covers football across 13 leagues with 21 commands like standings, xG, lineups, and transfers; F1 lap data and results; Kalshi and Polymarket markets with prices and order books; plus RSS news feeds. Install via npx for agentic open source llm workflows or use the CLI like `sports-skills football get_daily_schedule` for instant JSON.

Why is it gaining traction?

Zero-config public APIs make it a drop-in for open source agent ai platforms, beating proprietary sports feeds that demand keys and quotas. SKILL.md format plugs into Claude Code, Cursor, Copilot, and Gemini CLI, enabling agentic workflows for predictions without custom scraping. As an open-source agent framework, it handles real-time data like Polymarket odds or F1 sessions out of the box.

Who should use this?

AI devs building agentic open source llm apps for sports betting bots, fantasy football analyzers, or prediction dashboards. Sports traders scripting Kalshi/Polymarket queries, or backend teams needing quick football stats in open source agentic rag pipelines. Skip if you need enterprise SLAs—it's personal use only.

Verdict

Grab it for prototyping sports AI agents; the CLI and agent skills shine for fast iteration. With 12 stars and 0.9% credibility score, it's early alpha—docs are solid via README tables, but expect occasional breaks from public sources. Solid 7/10 for hobbyists eyeing open source agent platform alternatives.

(198 words)

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