Skill comparison
Compare agent skills before installing.
Comparing 4 skills
Use this as a shortlist, then open the skill detail page before adopting.
Decision summary
CLIP is the strongest overall pick here because it has a 100/100 readiness score and fits Coding agents.
Strongest overall
CLIP
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
CLIP
Best first install candidate based on install readiness and adoption.
Freshest repo
Onnx
Most recent maintenance signal among this shortlist.
| Signal | Cheatsheets AI Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5 | Pytorch Lightning Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes. | Onnx Open standard for machine learning interoperability | CLIP CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image |
|---|---|---|---|---|
| Quality | 84/100 Strong | 100/100 Excellent | 100/100 Excellent | 100/100 Excellent |
| Decision verdict | 86/100 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. | 100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. |
| Adoption | 15K stars Verified outcomes are shown on each skill page | 31K stars Verified outcomes are shown on each skill page | 21K stars Verified outcomes are shown on each skill page | 34K stars Verified outcomes are shown on each skill page |
| Freshness | Oct 19, 2019 | Jun 10, 2026 | Jun 16, 2026 | Mar 25, 2026 |
| Use-case fit | ||||
| Workflow fit | ||||
| Platform hints | Machine Learning, Claude Code | Python, Machine Learning, Claude Code | Python, 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 | RAG and knowledge workflows · Claude Code teams · teams that value GitHub adoption signals | Coding agents workflows · Claude Code teams · teams that value GitHub adoption signals | GitHub automation workflows · Claude Code teams · teams that value GitHub adoption signals | 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 | 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 kailashahirwar/cheatsheets-ai | $ npx skills add Lightning-AI/pytorch-lightning | $ npx skills add onnx/onnx | $ npx skills add openai/CLIP |