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
Taste Skill: Anti-Slop Frontend is the strongest overall pick here because it has a 100/100 readiness score and fits Design and creative.
Strongest overall
Taste Skill: Anti-Slop Frontend
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
Taste Skill: Anti-Slop Frontend
Best first install candidate based on install readiness and adoption.
Freshest repo
Taste Skill: Anti-Slop Frontend
Most recent maintenance signal among this shortlist.
| Signal | Taste Skill: Anti-Slop Frontend Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns. | Vectorbt The backtesting engine that gives you an unfair advantage. Run thousands of trading ideas before others finish one. | FinanceDatabase This is a database of 300.000+ symbols containing Equities, ETFs, Funds, Indices, Currencies, Cryptocurrencies and Money Markets. | Qlib Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process. |
|---|---|---|---|---|
| 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 | 70K stars 0 installs | 7.9K stars 0 installs | 7.9K stars 0 installs | 44K stars 0 installs |
| Freshness | Jul 23, 2026 | Jun 10, 2026 | Jun 17, 2026 | Apr 22, 2026 |
| Use-case fit | ||||
| Workflow fit | ||||
| Platform hints | Codex, Claude Code, Cursor, OpenAI Agents | Python, Finance, Claude Code | Python, Market Data, Claude Code | Python, Finance, 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 | Design and creative workflows · Claude Code teams · teams that value GitHub adoption signals | Finance and quant workflows · Claude Code teams · teams that value GitHub adoption signals | Finance and quant workflows · Claude Code teams · teams that value GitHub adoption signals | Finance and quant 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 Leonxlnx/taste-skill --skill design-taste-frontend | $ npx skills add polakowo/vectorbt | $ npx skills add JerBouma/FinanceDatabase | $ npx skills add microsoft/qlib |