Skill comparison
Compare agent skills before installing.
Put high-signal skills side by side and inspect quality, adoption, freshness, install readiness, use-case fit, and warnings in one place.
Comparing 4 skills
Use this as a shortlist, then open the skill detail page before adopting.
Decision summary
Superset is the strongest overall pick here because it has a 100/100 readiness score and fits Data analysis.
Strongest overall
Superset
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
Superset
Best first install candidate based on install readiness and adoption.
Freshest repo
Superset
Most recent maintenance signal among this shortlist.
| Signal | Football.Json Free open public domain football data in JSON incl. English Premier League, Bundesliga, Primera División, Serie A and more - No API key required ;-) | Open Data Free football data from StatsBomb | Soccerdata ⛏⚽ Scrape soccer data from Club Elo, ESPN, FBref, Football-Data.co.uk, Sofascore, SoFIFA, Understat and WhoScored. | Superset Apache Superset is a Data Visualization and Data Exploration Platform |
|---|---|---|---|---|
| Quality | 87/100 Excellent | 100/100 Excellent | 99/100 Excellent | 100/100 Excellent |
| Decision verdict | 98/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. | 100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. | 100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. | 100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. |
| Adoption | 954 stars 0 installs | 3.3K stars 0 installs | 1.8K stars 0 installs | 73K stars 0 installs |
| Freshness | May 30, 2026 | May 26, 2026 | Jun 10, 2026 | Jun 12, 2026 |
| Use-case fit | ||||
| Stack fit | ||||
| Platform hints | Sports Data, Claude Code | Sports Data, Claude Code | Python, Sports Data, Claude Code | TypeScript, Data Analysis, Claude Code |
| Warnings | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet |
| Best for | Sports analytics workflows · Claude Code teams · teams that value GitHub adoption signals | Sports analytics workflows · Claude Code teams · teams that value GitHub adoption signals | Sports analytics workflows · Claude Code teams · teams that value GitHub adoption signals | Data analysis workflows · Claude Code teams · teams that value GitHub adoption signals |
| Not ideal for | teams that need a vendor-supported SLA · high-compliance environments without internal security review | teams that need a vendor-supported SLA · high-compliance environments without internal security review | teams that need a vendor-supported SLA · high-compliance environments without internal security review | teams that need a vendor-supported SLA · high-compliance environments without internal security review |
| OpenAgentSkill engagement | 0 views 0 install copies | 0 views 0 install copies | 0 views 0 install copies | 0 views 0 install copies |
| Install | $ npx skills add openfootball/football.json | $ npx skills add statsbomb/open-data | $ npx skills add probberechts/soccerdata | $ npx skills add apache/superset |