Skill comparison
Use this as a shortlist, then open the skill detail page before adopting.
Decision summary
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 | design-from-code Workflow skill that turns one issue/requirement into a design in the order "verify real code & data → iterate faithful HTML mockups → design doc (.md) → delegate implementation." When designing a change to existing UI, it reads the actual component source and data model instead of imagining them, and reproduces the current screen pixel-for-pixel. Triggers (EN) "design this", "make a mockup", "how should this feature look", "add ~ to the existing screen"; (KO) "설계해줘", "시안 만들어줘", "이 기능 어떻게 보여줄지", "기존 화면에 ~ 추가". | Taste Skill: Anti-Slop Frontend Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns. | Apple Design Apple's approach to interface design and fluid, physical motion, translated for the web. Use when building or reviewing gesture-driven UI, spring animations, drag/swipe/sheet interactions, momentum and interruptible transitions, translucent materials and depth, typography (optical sizing, tracking, leading), reduced-motion, or the design foundations (feedback, spatial consistency, restraint) behind Apple-style interfaces. |
|---|---|---|---|
| Quality | 49/100 Needs review | 100/100 Excellent | 100/100 Excellent |
| Decision verdict | 48/100 Needs manual review Do a manual repository review before adding this to an agent workflow. | 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 | 21 stars Verified outcomes are shown on each skill page | 92K stars Verified outcomes are shown on each skill page | 34K stars Verified outcomes are shown on each skill page |
| Freshness | Jun 20, 2026 | Sep 26, 2026 | Aug 21, 2026 |
| Use-case fit |
| Workflow fit |
| Platform hints | Claude Code | Codex, Claude Code, Cursor, OpenAI Agents | Claude Code, Codex, Cursor, OpenAI Agents |
| Warnings | Low GitHub adoption signal · No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet |
| Best for | Research agents workflows · Claude Code teams · builders willing to evaluate younger projects | Design and creative workflows · Claude Code teams · teams that value GitHub adoption signals | Design and creative workflows · Claude Code teams · teams that value GitHub adoption signals |
| Not ideal for | teams that need a vendor-supported SLA · production agents without a repository 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 |
| Install | $ npx skills add nlook-service/design-from-code --skill design-from-code | $ npx skills add Leonxlnx/taste-skill --skill design-taste-frontend | $ npx skills@latest add emilkowalski/skills |