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
Dtale is the strongest overall pick here because it has a 100/100 readiness score and fits Data analysis.
Strongest overall
Dtale
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
Dtale
Best first install candidate based on install readiness and adoption.
Freshest repo
Hamilton
Most recent maintenance signal among this shortlist.
| Signal | Amphi Etl visual data prep powered by python | 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. | Dtale Visualizer for pandas data structures | Danfojs Danfo.js is an open source, JavaScript library providing high performance, intuitive, and easy to use data structures for manipulating and processing structured data. |
|---|---|---|---|---|
| Quality | 92/100 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 | 1.4K stars 0 installs | 2.5K stars 0 installs | 5.2K stars 0 installs | 5.1K stars 0 installs |
| Freshness | Jun 13, 2026 | Jun 14, 2026 | May 29, 2026 | Apr 15, 2026 |
| Use-case fit | ||||
| Stack fit | ||||
| Platform hints | TypeScript, Data Analysis, Claude Code | Jupyter Notebook, Data Analysis, Claude Code | TypeScript, Data Analysis, Claude Code | TypeScript, Data Analysis, Claude Code |
| Warnings | No major risk signals from current metadata | No major risk signals from current metadata | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet |
| Best for | GitHub automation 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 | 1 views 0 install copies | 2 views 0 install copies | 0 views 0 install copies | 0 views 0 install copies |
| Install | $ npx skills add amphi-ai/amphi-etl | $ npx skills add apache/hamilton | $ npx skills add man-group/dtale | $ npx skills add javascriptdata/danfojs |