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 4 skills
Use this as a shortlist, then open the skill detail page before adopting.
Decision summary
Google Research is the strongest overall pick here because it has a 100/100 readiness score and fits RAG and knowledge.
Strongest overall
Google Research
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
Google Research
Best first install candidate based on install readiness and adoption.
Freshest repo
Google Research
Most recent maintenance signal among this shortlist.
| Signal | Interview Interview = 简历指南 + 算法题 + 八股文 + 源码分析 | Thorough Pytorch PyTorch入门教程，在线阅读地址：https://datawhalechina.github.io/thorough-pytorch/ | CLIP CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image | Google Research Google Research |
|---|---|---|---|---|
| Quality | 75/100 Strong | 92/100 Excellent | 100/100 Excellent | 100/100 Excellent |
| Decision verdict | 77/100 Strong shortlist Shortlist this skill and compare it with close alternatives before production adoption. | 100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. | 100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. | 100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. |
| Adoption | 9.0K stars 0 installs | 3.7K stars 0 installs | 34K stars 0 installs | 38K stars 0 installs |
| Freshness | Oct 20, 2023 | Jan 18, 2026 | Mar 25, 2026 | Jun 16, 2026 |
| Use-case fit | ||||
| Stack fit | ||||
| Platform hints | Jupyter Notebook, Machine Learning, Claude Code | Jupyter Notebook, Machine Learning, Claude Code | Jupyter Notebook, Machine Learning, Claude Code | Jupyter Notebook, Machine Learning, Claude Code |
| Warnings | Repository looks stale · No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet |
| Best for | Coding agents workflows · Claude Code teams · teams that value GitHub adoption signals | Coding agents workflows · Claude Code teams · teams that value GitHub adoption signals | Coding agents workflows · Claude Code teams · teams that value GitHub adoption signals | RAG and knowledge 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 | teams that need a vendor-supported SLA · high-compliance environments without internal security review | teams that need a vendor-supported SLA · high-compliance environments without internal security review | teams that need a vendor-supported SLA · high-compliance environments without internal security review |
| OpenAgentSkill engagement | 0 views 0 install copies | 0 views 0 install copies | 0 views 0 install copies | 0 views 0 install copies |
| Install | $ npx skills add apachecn/Interview | $ npx skills add datawhalechina/thorough-pytorch | $ npx skills add openai/CLIP | $ npx skills add google-research/google-research |