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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

3D Mem is the strongest overall pick here because it has a 53/100 readiness score and fits Coding agents.

Strongest overall

3D Mem

Do a manual repository review before adding this to an agent workflow.

Fastest prototype

3D Mem

Best first install candidate based on install readiness and adoption.

Freshest repo

3D Mem

Most recent maintenance signal among this shortlist.

Signal3D Mem

[CVPR 2025] Source codes for the paper "3D-Mem: 3D Scene Memory for Embodied Exploration and Reasoning"

Quality
63/100
Promising
Decision verdict
53/100
Needs manual review

Do a manual repository review before adding this to an agent workflow.

Adoption257 stars
0 installs
FreshnessOct 2, 2025
Use-case fit
Coding agentsRAG and knowledgeWorkflow automation
Stack fit
Coding review agentContent growth agent
Platform hintsPython, Computer Vision, Claude Code
WarningsNo OpenAgentSkill engagement data yet
Best forCoding agents workflows · Claude Code teams · builders willing to evaluate younger projects
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
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 UMass-Embodied-AGI/3D-Mem