Sports-skills.sh
sports data connectors for AI agents
Details
- External ID
- 47066082
- Source
- HN
- Company
- —
- Product
- Sports-skills.sh
- Website domain
- github.com
- Launched
- Feb. 18, 2026
- Cohort
- —
- Upvotes
- 5
- Upvotes percentile
- 0.10512129380053908
- Tags
- —
- Fetched at
- Sept. 7, 2026, 9:25 p.m.
- Updated at
- Sept. 7, 2026, 9:25 p.m.
Description
We built this because every sports AI demo uses fake data or locks you behind an enterprise API contract.sports-skills gives your agent real sports data with one install command. No API keys. No accounts. For personal use.Eight connectors out of the box: NFL, soccer across 13 leagues with xG, Formula 1 lap and pit data, NBA, WNBA, Polymarket, Kalshi, and a sports news aggregator pulling from BBC/ESPN/The Athletic.npx skills add machina-sports/sports-skillsOpen for contributions.
Enrichment
- Theme
- sports and gaming companion tools
- Vertical
- Horizontal
- Function
- Data infrastructure
- Audience
- Developer
- AI stance
- AI feature
- Project type
- Commercial product
- Normalized one-liner
- sports data connectors for ai agents
- Manually corrected
- False
Could you build this?
Partial Writing MCP server connectors or CLI skills for LLM agents is easy, but reliable access to unlicensed live sports data and xG statistics across 13 soccer leagues and F1 requires web-scraping infra or paid upstream APIs.
What it would actually take: A functioning system requires Python or Node.js MCP tools connecting to reverse-engineered or scraped sports endpoints (e.g., ESPN, Understat, Ergast). The difficult part is maintaining brittle scrapers against anti-bot protections and schema changes across multiple leagues without paying for official enterprise feeds. Requires data pipeline engineering and automated scraper maintenance.
Discussion
No comments on this launch.
Competitors
Other products that read as similar to this one — 65 launches clear the similarity bar, closest 8 shown.
Attention rank: #61 of 66 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 28 days after the earliest competitor.
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Other launches for this product
- No other launches for this product.
Same idea, different domain
Nobody's really built a data infrastructure tool for Media & entertainment yet.