football-docs
Reduces integration friction and hallucination risk by giving AI coding agents verified, structured access to football datasets.
Searchable football data provider documentation for AI coding agents. Like Context7 for football data.
- Ask Claude to find the correct API endpoint for retrieving player statistics from football data sources.
- Generate code that queries football datasets by referencing the proper documentation structure and parameters.
- Automate football data extraction by providing Claude with searchable documentation for consistent API integration.
Reduces integration friction and hallucination risk by giving AI coding agents verified, structured access to football datasets. Cuts time spent validating data schemas and API contracts.
Data engineers and ML teams building sports analytics applications with Claude or similar AI agents.
https://github.com/withqwerty/football-docs
By withqwerty
How to Get It
claude plugins install withqwerty/football-docs
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
After installing, paste this into Claude:
Find the correct API endpoint for retrieving player statistics from football data sources
Trust Signals Auto-scanned
Community Pulse New
- Why Italian football does not make sense in the English language — Hacker News · 1 pts
- What playing NFL football does to the brain — Hacker News · 1 pts
2 mentions across 1 sources
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 46 GitHub stars; contributors unknown; last commit 0d ago; license no license.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
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Evaluation
Scored from trust signals (evidence-eval-v1): 46 GitHub stars; contributors unknown; last commit 0d ago; license no license.