Skill comparison
Compare agent skills before installing.
Comparing 4 skills
Use this as a shortlist, then open the skill detail page before adopting.
Decision summary
Pandas is the strongest overall pick here because it has a 100/100 readiness score and fits Data analysis.
Strongest overall
Pandas
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
Pandas
Best first install candidate based on install readiness and adoption.
Freshest repo
Trino
Most recent maintenance signal among this shortlist.
| Signal | Football Datasets Complete football/soccer datalake with 93000+ players from Transfermarkt. Includes player profiles, performance statistics, market values, transfer histories, injury records, national team data, and teammate relationships. | Nautilus Trader Production-grade Rust-native trading engine with deterministic event-driven architecture | Trino Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io) | Pandas Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more |
|---|---|---|---|---|
| Quality | 54/100 Needs review | 100/100 Excellent | 100/100 Excellent | 100/100 Excellent |
| Decision verdict | 44/100 Needs manual review Do a manual repository review before adding this to an agent workflow. | 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 | 100 stars 0 installs | 23K stars 0 installs | 13K stars 0 installs | 49K stars 0 installs |
| Freshness | Oct 18, 2025 | Jun 14, 2026 | Jun 20, 2026 | Jun 14, 2026 |
| Use-case fit | ||||
| Stack fit | ||||
| Platform hints | Football Data, Claude Code | Rust, Sports Analytics, Claude Code | Java, SQL, Claude Code | Python, 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 · builders willing to evaluate younger projects | Finance and quant workflows · Claude Code teams · teams that value GitHub adoption signals | GitHub automation 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 salimt/football-datasets | $ npx skills add nautechsystems/nautilus_trader | $ npx skills add trinodb/trino | $ npx skills add pandas-dev/pandas |