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 1 skill
Use this as a shortlist, then open the skill detail page before adopting.
Decision summary
Heat is the strongest overall pick here because it has a 72/100 readiness score and fits GitHub automation.
Strongest overall
Heat
Shortlist this skill and compare it with close alternatives before production adoption.
Fastest prototype
Heat
Best first install candidate based on install readiness and adoption.
Freshest repo
Heat
Most recent maintenance signal among this shortlist.
| Signal | Heat Distributed tensors and Machine Learning framework with GPU and MPI acceleration in Python |
|---|---|
| Quality | 73/100 Strong |
| Decision verdict | 72/100 Strong shortlist Shortlist this skill and compare it with close alternatives before production adoption. |
| Adoption | 241 stars 0 installs |
| Freshness | Jun 19, 2026 |
| Use-case fit | |
| Workflow fit | |
| Platform hints | Python, Scientific Computing, Claude Code |
| Warnings | No OpenAgentSkill engagement data yet |
| Best for | GitHub automation workflows · Claude Code teams · builders willing to evaluate younger projects |
| Not ideal for | teams that need a vendor-supported SLA · high-compliance environments without internal security review |
| OpenAgentSkill engagement | 0 views 0 install copies |
| Install | $ npx skills add helmholtz-analytics/heat |