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
Ml Agents is the strongest overall pick here because it has a 100/100 readiness score and fits Coding agents.
Strongest overall
Ml Agents
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
Ml Agents
Best first install candidate based on install readiness and adoption.
Freshest repo
Screenpipe
Most recent maintenance signal among this shortlist.
| Signal | Openmlsys 《Machine Learning Systems: Design and Implementation》 (V2 is launching soon） | Ml Agents The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning. | Screenpipe YC (S26) | AI that knows what you've seen, said, or heard. Records everything you do, say, hear 24/7, local, private, secure | Tfjs A WebGL accelerated JavaScript library for training and deploying ML models. |
|---|---|---|---|---|
| Quality | 93/100 Excellent | 100/100 Excellent | 100/100 Excellent | 100/100 Excellent |
| Decision verdict | 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. | 100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. |
| Adoption | 4.8K stars 0 installs | 19K stars 0 installs | 19K stars 0 installs | 19K stars 0 installs |
| Freshness | Mar 15, 2026 | Jun 12, 2026 | Jun 16, 2026 | Jun 15, 2026 |
| Use-case fit | ||||
| Stack fit | ||||
| Platform hints | TeX, Machine Learning, Claude Code | C#, Machine Learning, Claude Code | Rust, Machine Learning, Claude Code | TypeScript, Machine Learning, Claude Code |
| Warnings | 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 | Multimodal media 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 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 openmlsys/openmlsys | $ npx skills add Unity-Technologies/ml-agents | $ npx skills add screenpipe/screenpipe | $ npx skills add tensorflow/tfjs |