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
Atmquant is the strongest overall pick here because it has a 65/100 readiness score and fits Coding agents.
Strongest overall
Atmquant
Prototype with this skill first; keep a fallback candidate ready.
Fastest prototype
Atmquant
Best first install candidate based on install readiness and adoption.
Freshest repo
Atmquant
Most recent maintenance signal among this shortlist.
| Signal | Atmquant atmquant由公众号“堂主的ATMQuant"开发，是基于vnpy框架的AI量化交易平台，专注于AI量化投资、指标信号可视化与策略研发和回测，有完整教学和实战案例，适合量化交易初学者、金融从业者、程序员、投资爱好者 |
|---|---|
| Quality | 66/100 Promising |
| Decision verdict | 65/100 Prototype first Prototype with this skill first; keep a fallback candidate ready. |
| Adoption | 96 stars 0 installs |
| Freshness | Apr 10, 2026 |
| Use-case fit | |
| Workflow fit | |
| Platform hints | Python, Quant, Claude Code |
| Warnings | No OpenAgentSkill engagement data yet |
| Best for | Coding agents 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 seasonstar/atmquant |