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
SimCLR is the strongest overall pick here because it has a 76/100 readiness score and fits Coding agents.
Strongest overall
SimCLR
Shortlist this skill and compare it with close alternatives before production adoption.
Fastest prototype
SimCLR
Best first install candidate based on install readiness and adoption.
Freshest repo
SimCLR
Most recent maintenance signal among this shortlist.
| Signal | SimCLR PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations |
|---|---|
| Quality | 74/100 Strong |
| Decision verdict | 76/100 Strong shortlist Shortlist this skill and compare it with close alternatives before production adoption. |
| Adoption | 2.5K stars 0 installs |
| Freshness | Mar 4, 2024 |
| Use-case fit | |
| Workflow fit | |
| Platform hints | Jupyter Notebook, Machine Learning, Claude Code |
| Warnings | Repository looks stale · No OpenAgentSkill engagement data yet |
| Best for | Coding agents 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 |
| OpenAgentSkill engagement | 0 views 0 install copies |
| Install | $ npx skills add sthalles/SimCLR |