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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

Simplerecon is the strongest overall pick here because it has a 69/100 readiness score and fits Coding agents.

Strongest overall

Simplerecon

Prototype with this skill first; keep a fallback candidate ready.

Fastest prototype

Simplerecon

Best first install candidate based on install readiness and adoption.

Freshest repo

Simplerecon

Most recent maintenance signal among this shortlist.

SignalSimplerecon

[ECCV 2022] SimpleRecon: 3D Reconstruction Without 3D Convolutions

Quality
67/100
Promising
Decision verdict
69/100
Prototype first

Prototype with this skill first; keep a fallback candidate ready.

Adoption1.4K stars
0 installs
FreshnessMay 9, 2025
Use-case fit
Coding agentsRAG and knowledgeWorkflow automation
Stack fit
Content growth agentCoding review agent
Platform hintsPython, Computer Vision, 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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DocsAbout OpenAgentSkillAPIllms.txtOpenAPICLICreator KitX Growth KitSubmitBlogGuidesActivity
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 nianticlabs/simplerecon