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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.

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Decision summary

DreamLayer is the strongest overall pick here because it has a 76/100 readiness score and fits GitHub automation.

Strongest overall

DreamLayer

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

Fastest prototype

DreamLayer

Best first install candidate based on install readiness and adoption.

Freshest repo

DreamLayer

Most recent maintenance signal among this shortlist.

SignalDreamLayer

Benchmark diffusion models faster. Automate evals, seeds, and metrics for reproducible results.

Quality
77/100
Strong
Decision verdict
76/100
Strong shortlist

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

Adoption409 stars
0 installs
FreshnessApr 19, 2026
Use-case fit
GitHub automationDesign and creativeCoding agents
Workflow fit
Content growth agentCoding review agent
Platform hintsPython, Image Generation, Claude Code
WarningsNo OpenAgentSkill engagement data yet
Best for
OpenAgentSkill

The skill layer for AI agents: discover, compare, audit, and install reusable capabilities across Codex, Claude Code, Cursor, and agent runtimes.

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DocsAbout OpenAgentSkillAPIllms.txtOpenAPICLICreator KitX Growth KitSubmitBlogGuidesActivity
OpenAgentSkill Registry
PrivacyBuilt for agent-native discovery
GitHub automation workflows · Claude Code teams · builders willing to evaluate younger projects
Not ideal forteams that need a vendor-supported SLA · high-compliance environments without internal security review
OpenAgentSkill engagement0 views
0 install copies
Install
$ npx skills add TheDesignFounder/DreamLayer