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
Pytorch is the strongest overall pick here because it has a 100/100 readiness score and fits Coding agents.
Strongest overall
Pytorch
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
Pytorch
Best first install candidate based on install readiness and adoption.
Freshest repo
Pytorch
Most recent maintenance signal among this shortlist.
| Signal | Data Science Complete Tutorial For extensive instructor led learning | LightGBM A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. | Pytorch Tensors and Dynamic neural networks in Python with strong GPU acceleration | CLIP CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image |
|---|---|---|---|---|
| Quality | 68/100 Promising | 100/100 Excellent | 100/100 Excellent | 100/100 Excellent |
| Decision verdict | 70/100 Prototype first Prototype with this skill first; keep a fallback candidate ready. | 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 | 1.8K stars Verified outcomes are shown on each skill page | 18K stars Verified outcomes are shown on each skill page | 101K stars Verified outcomes are shown on each skill page | 34K stars Verified outcomes are shown on each skill page |
| Freshness | Oct 31, 2022 | Jun 9, 2026 | Jun 16, 2026 | Mar 25, 2026 |
| Use-case fit | ||||
| Workflow fit | ||||
| Platform hints | Jupyter Notebook, Machine Learning, Claude Code | C++, 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 | GitHub automation workflows · Claude Code teams · teams that value GitHub adoption signals | Workflow automation 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 |
| 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 edyoda/data-science-complete-tutorial | $ npx skills add lightgbm-org/LightGBM | $ npx skills add pytorch/pytorch | $ npx skills add openai/CLIP |