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 3 skills

Use this as a shortlist, then open the skill detail page before adopting.

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Decision summary

Frontend Design is the strongest overall pick here because it has a 100/100 readiness score and fits Design and creative.

Strongest overall

Frontend Design

Use this as a leading candidate, then validate the README and install path in your own agent stack.

Fastest prototype

Frontend Design

Best first install candidate based on install readiness and adoption.

Freshest repo

Frontend Design

Most recent maintenance signal among this shortlist.

Signalvllm-feature-design

Design and implement vLLM features. Given user requirements (feature description, related PRs, reference materials), produces (1) core code implementation — NO test cases — and (2) a rich Markdown design document saved to the current project root. Use when the user asks to design a vLLM feature, implement a vLLM feature, architect a component for vLLM, generate a design doc for vLLM, or requests a feature design for ML inference systems. Triggered by phrases like "帮我设计vLLM的xxx功能", "design a vLLM feature for ...", "implement vLLM xxx", "generate a design doc for vLLM xxx", "vLLM feature design".

Frontend Design

Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.

Taste Skill: Anti-Slop Frontend

Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.

Quality
54/100
Needs review
100/100
Excellent
100/100
Excellent
Decision verdict
53/100
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.

Adoption20 stars
Verified outcomes are shown on each skill page
180K stars
Verified outcomes are shown on each skill page
94K stars
Verified outcomes are shown on each skill page
FreshnessOct 7, 2026Oct 8, 2026Oct 8, 2026
Use-case fit
Workflow fit
Platform hintsClaude CodeClaude Code, Codex, Cursor, OpenAI AgentsCodex, Claude Code, Cursor, OpenAI Agents
WarningsLow GitHub adoption signal · No OpenAgentSkill engagement data yetUse is subject to the upstream source terms; review LICENSE.txt before redistribution. · No OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yet
Best forDocument processing workflows · Claude Code teams · builders willing to evaluate younger projectsDesign and creative workflows · Claude Code teams · teams that value GitHub adoption signalsDesign and creative workflows · Claude Code teams · teams that value GitHub adoption signals
Not ideal forteams that need a vendor-supported SLA · production agents without a repository reviewteams that need a vendor-supported SLA · production agents without a repository reviewteams that need a vendor-supported SLA · high-compliance environments without internal security review
OpenAgentSkill engagement0 views
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Install
$ npx skills add shen-shanshan/vllm-dev-skills --skill vllm-feature-design
$ npx skills add anthropics/skills --skill frontend-design
$ npx skills add Leonxlnx/taste-skill --skill design-taste-frontend