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
Open Data is the strongest overall pick here because it has a 100/100 readiness score and fits Sports analytics.
Strongest overall
Open Data
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
Sports
Best first install candidate based on install readiness and adoption.
Freshest repo
SportyR
Most recent maintenance signal among this shortlist.
| Signal | Soccer Ggplots Soccer/football analytics blog posts & data viz from the World Cup, Premier League, Copa America, and beyond. Using ggplot2, ggsoccer, & more. (Est. June 2018) ****Please look at the README for best version of the code!**** | SportyR R package for drawing regulation playing surfaces for several sports | Open Data Free football data from StatsBomb | Sports computer vision and sports |
|---|---|---|---|---|
| Quality | 49/100 Needs review | 78/100 Strong | 100/100 Excellent | 90/100 Excellent |
| Decision verdict | 39/100 Needs manual review Do a manual repository review before adding this to an agent workflow. | 77/100 Strong shortlist Shortlist this skill and compare it with close alternatives before production adoption. | 100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. | 92/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. |
| Adoption | 173 stars 0 installs | 117 stars 0 installs | 3.3K stars 0 installs | 5.1K stars 0 installs |
| Freshness | Jun 2, 2024 | Jun 13, 2026 | May 26, 2026 | Nov 7, 2025 |
| Use-case fit | ||||
| Stack fit | ||||
| Platform hints | R, Sports Data, Claude Code | R, Sports Data, Claude Code | Sports Data, Claude Code | Python, Sports Data, Claude Code |
| Warnings | Repository looks stale · 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 · builders willing to evaluate younger projects | Sports analytics workflows · Claude Code teams · builders willing to evaluate younger projects | Sports analytics workflows · Claude Code teams · teams that value GitHub adoption signals | Sports analytics workflows · Claude Code teams · teams that value GitHub adoption signals |
| Not ideal for | teams that require actively maintained dependencies · production agents without a repository 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 Ryo-N7/soccer_ggplots | $ npx skills add sportsdataverse/sportyR | $ npx skills add statsbomb/open-data | $ npx skills add roboflow/sports |