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
OpenMLDB
Most recent maintenance signal among this shortlist.
| Signal | OpenMLDB OpenMLDB is an open-source machine learning database that provides a feature platform computing consistent features for training and inference. | Label Studio Label Studio is a multi-type data labeling and annotation tool with standardized output format | Made With ML Learn how to develop, deploy and iterate on production-grade ML applications. | Great Expectations Always know what to expect from your data. |
|---|---|---|---|---|
| Quality | 100/100 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 | 1.7K stars Verified outcomes are shown on each skill page | 28K stars Verified outcomes are shown on each skill page | 48K stars Verified outcomes are shown on each skill page | 12K stars Verified outcomes are shown on each skill page |
| Freshness | Jul 29, 2026 | Jun 16, 2026 | Mar 4, 2026 | Jun 13, 2026 |
| Use-case fit | ||||
| Workflow fit | ||||
| Platform hints | C++, MLOps, Claude Code | TypeScript, MLOps, Claude Code | Jupyter Notebook, MLOps, Claude Code | Python, MLOps, 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 | GitHub automation 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 | 0 views 0 install copies | 0 views 0 install copies |
| Install | $ npx skills add 4paradigm/OpenMLDB | $ npx skills add HumanSignal/label-studio | $ npx skills add GokuMohandas/Made-With-ML | $ npx skills add fivetran/great_expectations |