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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

MMAudio is the strongest overall pick here because it has a 100/100 readiness score and fits Multimodal media.

Strongest overall

MMAudio

Use this as a leading candidate, then validate the README and install path in your own agent stack.

Fastest prototype

MMAudio

Best first install candidate based on install readiness and adoption.

Freshest repo

MMAudio

Most recent maintenance signal among this shortlist.

SignalMMAudio

[CVPR 2025] MMAudio: Taming Multimodal Joint Training for High-Quality Video-to-Audio Synthesis

Quality
95/100
Excellent
Decision verdict
100/100
Production-ready

Use this as a leading candidate, then validate the README and install path in your own agent stack.

Adoption2.2K stars
0 installs
FreshnessFeb 23, 2026
Use-case fit
Multimodal mediaCoding agentsRAG and knowledge
Stack fit
Content growth agentCoding review agent
Platform hintsPython, Computer Vision, Claude Code
WarningsNo OpenAgentSkill engagement data yet
Best forMultimodal media 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 need a vendor-supported SLA · high-compliance environments without internal security review
OpenAgentSkill engagement0 views
0 install copies
Install
$ npx skills add hkchengrex/MMAudio