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
Pandas is the strongest overall pick here because it has a 100/100 readiness score and fits Data analysis.
Strongest overall
Pandas
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
Pandas
Best first install candidate based on install readiness and adoption.
Freshest repo
Streamlit
Most recent maintenance signal among this shortlist.
| Signal | Hamilton Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does. | Data Science For Beginners 10 Weeks, 20 Lessons, Data Science for All! | Pandas Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more | Streamlit Streamlit — A faster way to build and share data apps. |
|---|---|---|---|---|
| Quality | 99/100 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 | 2.5K stars Verified outcomes are shown on each skill page | 36K stars Verified outcomes are shown on each skill page | 49K stars Verified outcomes are shown on each skill page | 45K stars Verified outcomes are shown on each skill page |
| Freshness | Jun 14, 2026 | Jun 10, 2026 | Jun 14, 2026 | Jun 14, 2026 |
| Use-case fit | ||||
| Workflow fit | ||||
| Platform hints | Jupyter Notebook, Data Analysis, Claude Code | Jupyter Notebook, Data Analysis, Claude Code | Python, Data Analysis, Claude Code | Python, Data Analysis, Claude Code |
| Warnings | No major risk signals from current metadata | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet |
| Best for | Data analysis workflows · Claude Code teams · teams that value GitHub adoption signals | Data analysis workflows · Claude Code teams · teams that value GitHub adoption signals | Data analysis workflows · Claude Code teams · teams that value GitHub adoption signals | Data analysis 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 | 3 views 0 install copies | 0 views 0 install copies | 0 views 0 install copies | 0 views 0 install copies |
| Install | $ npx skills add apache/hamilton | $ npx skills add microsoft/Data-Science-For-Beginners | $ npx skills add pandas-dev/pandas | $ npx skills add streamlit/streamlit |