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.

Add more skills

Decision summary

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

Strongest overall

Anthropic Brand Guidelines

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

Fastest prototype

Anthropic Brand Guidelines

Best first install candidate based on install readiness and adoption.

Freshest repo

Taste Skill: Anti-Slop Frontend

Most recent maintenance signal among this shortlist.

SignalTools4AI

Agentic Framework for Java, written in 100% Java using Gemini, OpenAI, LocalAI, Anthropic. Build Autonomous Agents in Java with Multi AI voting mechanism. Convert Prompt to HTTP REST Calls, Java Method calls, Shell script calls or swagger rest api calls. Selenium AI Integration, Image processing with AI, Actions on Images with AI

Anthropic Brand Guidelines

Apply Anthropic official brand colors, typography, and visual standards to appropriate Anthropic-related artifacts.

Taste Skill: Anti-Slop Frontend

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

Quality
74/100
Strong
100/100
Excellent
100/100
Excellent
Decision verdict
73/100
Strong shortlist

Shortlist this skill and compare it with close alternatives before production adoption.

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.

Adoption184 stars
Verified outcomes are shown on each skill page
171K stars
Verified outcomes are shown on each skill page
79K stars
Verified outcomes are shown on each skill page
FreshnessJun 12, 2026Aug 21, 2026Aug 22, 2026
Use-case fit
Workflow fit
Platform hintsJava, LLM, Claude Code, OpenAI Agents, Browser agentsClaude Code, Codex, Cursor, OpenAI AgentsCodex, Claude Code, Cursor, OpenAI Agents
WarningsNo OpenAgentSkill engagement data yetBrand guidance is source-specific; do not apply Anthropic identity to unrelated organizations without permission. · No OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yet
Best forGitHub automation 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 · high-compliance environments without internal security 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
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Install
$ npx skills add vishalmysore/Tools4AI
$ npx skills add anthropics/skills --skill brand-guidelines
$ npx skills add Leonxlnx/taste-skill --skill design-taste-frontend