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 1 skill
Use this as a shortlist, then open the skill detail page before adopting.
Decision summary
CyteType is the strongest overall pick here because it has a 62/100 readiness score and fits Sports analytics.
Strongest overall
CyteType
Prototype with this skill first; keep a fallback candidate ready.
Fastest prototype
CyteType
Best first install candidate based on install readiness and adoption.
Freshest repo
CyteType
Most recent maintenance signal among this shortlist.
| Signal | CyteType Multi-agent LLM driven cell type annotation for single-cell RNA-Seq data |
|---|---|
| Quality | 63/100 Promising |
| Decision verdict | 62/100 Prototype first Prototype with this skill first; keep a fallback candidate ready. |
| Adoption | 132 stars Verified outcomes are shown on each skill page |
| Freshness | May 8, 2026 |
| Use-case fit | |
| Workflow fit | |
| Platform hints | Python, LLM, Claude Code |
| Warnings | No OpenAgentSkill engagement data yet |
| Best for | Sports analytics workflows · Claude Code teams · builders willing to evaluate younger projects |
| Not ideal for | teams that need a vendor-supported SLA · high-compliance environments without internal security review |
| OpenAgentSkill engagement | 0 views 0 install copies |
| Install | $ npx skills add NygenAnalytics/CyteType |