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
Skin Cancer Classification Using Deep Learning is the strongest overall pick here because it has a 39/100 readiness score and fits Coding agents.
Strongest overall
Skin Cancer Classification Using Deep Learning
Do a manual repository review before adding this to an agent workflow.
Fastest prototype
Skin Cancer Classification Using Deep Learning
Best first install candidate based on install readiness and adoption.
Freshest repo
Skin Cancer Classification Using Deep Learning
Most recent maintenance signal among this shortlist.
| Signal | Skin Cancer Classification Using Deep Learning Classify Skin cancer from the skin lesion images using Image classification. The dataset for the project is obtained from the Kaggle SIIM-ISIC-Melanoma-Classification competition. |
|---|---|
| Quality | 49/100 Needs review |
| Decision verdict | 39/100 Needs manual review Do a manual repository review before adding this to an agent workflow. |
| Adoption | 172 stars Verified outcomes are shown on each skill page |
| Freshness | Feb 16, 2022 |
| Use-case fit | |
| Workflow fit | |
| Platform hints | Jupyter Notebook, Computer Vision, Claude Code |
| Warnings | Repository looks stale · No OpenAgentSkill engagement data yet |
| Best for | Coding agents workflows · Claude Code teams · builders willing to evaluate younger projects |
| 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 Tirth27/Skin-Cancer-Classification-using-Deep-Learning |