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
LLMs From Scratch is the strongest overall pick here because it has a 100/100 readiness score and fits GitHub automation.
Strongest overall
LLMs From Scratch
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
LLMs From Scratch
Best first install candidate based on install readiness and adoption.
Freshest repo
MultiModalMamba
Most recent maintenance signal among this shortlist.
| Signal | MultiModalMamba A novel implementation of fusing ViT with Mamba into a fast, agile, and high performance Multi-Modal Model. Powered by Zeta, the simplest AI framework ever. | 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 | LLMs From Scratch Implement a ChatGPT-like LLM in PyTorch from scratch, step by step |
|---|---|---|---|---|
| Quality | 84/100 Strong | 100/100 Excellent | 100/100 Excellent | 100/100 Excellent |
| Decision verdict | 83/100 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 | 473 stars 0 installs | 31K stars 0 installs | 21K stars 0 installs | 97K stars 0 installs |
| Freshness | Jun 19, 2026 | Jun 10, 2026 | Jun 16, 2026 | Jun 2, 2026 |
| Use-case fit | ||||
| Stack fit | ||||
| Platform hints | Python, Machine Learning, Claude Code | Python, Machine Learning, Claude Code | Python, Machine Learning, Claude Code | Jupyter Notebook, Machine Learning, Claude Code, OpenAI Agents |
| Warnings | 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 · builders willing to evaluate younger projects | Coding agents workflows · Claude Code teams · teams that value GitHub adoption signals | GitHub automation workflows · Claude Code teams · teams that value GitHub adoption signals | GitHub automation workflows · Claude Code teams · teams that value GitHub adoption signals |
| Not ideal for | 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 | 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 kyegomez/MultiModalMamba | $ npx skills add Lightning-AI/pytorch-lightning | $ npx skills add onnx/onnx | $ npx skills add rasbt/LLMs-from-scratch |