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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

SpatialGen is the strongest overall pick here because it has a 76/100 readiness score and fits RAG and knowledge.

Strongest overall

SpatialGen

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

Fastest prototype

SpatialGen

Best first install candidate based on install readiness and adoption.

Freshest repo

SpatialGen

Most recent maintenance signal among this shortlist.

SignalSpatialGen

[3DV 2026] SpatialGen: Layout-guided 3D Indoor Scene Generation

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

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

Adoption394 stars
0 installs
FreshnessApr 18, 2026
Use-case fit
RAG and knowledgeCoding agentsBrowser automation
Stack fit
RAG knowledge baseContent growth agent
Platform hintsPython, Image Generation, Claude Code
WarningsNo major risk signals from current metadata
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
RAG and knowledge 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 engagement1 views
0 install copies
Install
$ npx skills add manycore-research/SpatialGen