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
Made With ML is the strongest overall pick here because it has a 100/100 readiness score and fits GitHub automation.
Strongest overall
Made With ML
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
Made With ML
Best first install candidate based on install readiness and adoption.
Freshest repo
Aim
Most recent maintenance signal among this shortlist.
| Signal | Getml Community Fast, high-quality forecasts on relational and multivariate time-series data powered by new feature learning algorithms and automated ML. | Made With ML Learn how to develop, deploy and iterate on production-grade ML applications. | Aim Aim 💫 — An easy-to-use & supercharged open-source experiment tracker. | Great Expectations Always know what to expect from your data. |
|---|---|---|---|---|
| Quality | 58/100 Promising | 100/100 Excellent | 100/100 Excellent | 100/100 Excellent |
| Decision verdict | 48/100 Needs manual review Do a manual repository review before adding this to an agent workflow. | 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 | 243 stars Verified outcomes are shown on each skill page | 48K stars Verified outcomes are shown on each skill page | 6.2K stars Verified outcomes are shown on each skill page | 12K stars Verified outcomes are shown on each skill page |
| Freshness | Oct 27, 2025 | Mar 4, 2026 | Aug 11, 2026 | Jun 13, 2026 |
| Use-case fit | ||||
| Workflow fit | ||||
| Platform hints | C++, MLOps, Claude Code | Jupyter Notebook, MLOps, Claude Code | Python, Machine Learning, Claude Code | Python, MLOps, Claude Code |
| Warnings | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No major risk signals from current metadata | No OpenAgentSkill engagement data yet |
| Best for | GitHub automation workflows · Claude Code teams · builders willing to evaluate younger projects | GitHub automation workflows · Claude Code teams · teams that value GitHub adoption signals | Sports analytics workflows · Claude Code teams · teams that value GitHub adoption signals | Workflow 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 | 12 views 0 install copies | 0 views 0 install copies |
| Install | $ npx skills add getml/getml-community | $ npx skills add GokuMohandas/Made-With-ML | $ npx skills add aimhubio/aim | $ npx skills add fivetran/great_expectations |