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
CNN Paper2 is the strongest overall pick here because it has a 34/100 readiness score and fits RAG and knowledge.
Strongest overall
CNN Paper2
Do a manual repository review before adding this to an agent workflow.
Fastest prototype
CNN Paper2
Best first install candidate based on install readiness and adoption.
Freshest repo
CNN Paper2
Most recent maintenance signal among this shortlist.
| Signal | CNN Paper2 :art: :art: 深度学习 卷积神经网络教程 ：图像识别，目标检测，语义分割，实例分割，人脸识别，神经风格转换，GAN等:art::art: https://dataxujing.github.io/CNN-paper2/ |
|---|---|
| Quality | 44/100 Needs review |
| Decision verdict | 34/100 Needs manual review Do a manual repository review before adding this to an agent workflow. |
| Adoption | 189 stars 0 installs |
| Freshness | Mar 31, 2020 |
| Use-case fit | |
| Workflow fit | |
| Platform hints | Research, Claude Code |
| Warnings | Repository looks stale · No OpenAgentSkill engagement data yet |
| Best for | RAG and knowledge 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 DataXujing/CNN-paper2 |