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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

MeshCNN is the strongest overall pick here because it has a 75/100 readiness score and fits Coding agents.

Strongest overall

MeshCNN

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

Fastest prototype

MeshCNN

Best first install candidate based on install readiness and adoption.

Freshest repo

MeshCNN

Most recent maintenance signal among this shortlist.

SignalMeshCNN

Convolutional Neural Network for 3D meshes in PyTorch

Quality
73/100
Strong
Decision verdict
75/100
Strong shortlist

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

Adoption1.7K stars
0 installs
FreshnessFeb 7, 2024
Use-case fit
Coding agentsRAG and knowledgeWorkflow automation
Stack fit
Content growth agentCoding review agent
Platform hintsPython, Machine Learning, Claude Code
WarningsRepository looks stale · No OpenAgentSkill engagement data yet
Best forCoding agents workflows · Claude Code teams · teams that value GitHub adoption signals
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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OpenAgentSkill Registry
PrivacyBuilt for agent-native discovery
Not ideal forteams that require actively maintained dependencies · production agents without a repository review
OpenAgentSkill engagement0 views
0 install copies
Install
$ npx skills add ranahanocka/MeshCNN