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
DAM4SAM is the strongest overall pick here because it has a 72/100 readiness score and fits Sports analytics.
Strongest overall
DAM4SAM
Shortlist this skill and compare it with close alternatives before production adoption.
Fastest prototype
DAM4SAM
Best first install candidate based on install readiness and adoption.
Freshest repo
DAM4SAM
Most recent maintenance signal among this shortlist.
| Signal | DAM4SAM [CVPR 2025, IJCV 2026] "A Distractor-Aware Memory for Visual Object Tracking with SAM2", "Distractor-Aware Memory-Based Visual Object Tracking" |
|---|---|
| Quality | 73/100 Strong |
| Decision verdict | 72/100 Strong shortlist Shortlist this skill and compare it with close alternatives before production adoption. |
| Adoption | 481 stars 0 installs |
| Freshness | Apr 7, 2026 |
| Use-case fit | |
| Workflow fit | |
| Platform hints | Python, Computer Vision, 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 jovanavidenovic/DAM4SAM |