Which is more popular, OmO or Skills?

Skills has more GitHub stars (179,388 vs 69,754).

Which is more actively developed, OmO or Skills?

OmO had more commits in the last 90 days (9,367 vs 14).

Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.

Side-by-side comparison of two AI agent tools

Skills is growing faster: +26,013 GitHub stars in the last 30 days vs +1,005 for OmO.
Pick OmO for: omO: Just type "mass ulw" keyword with your prompt. Pick Skills for: public repository for Agent Skills.

From GitHub data refreshed daily.

OmOopen-source

OmO: Just type "mass ulw" keyword with your prompt. Now you are the master of graph engineering.

Public repository for Agent Skills

+Official Anthropic implementation provides reliable, well-tested skill patterns and best practices for Claude AI development
+Extensive collection covering diverse domains from creative tasks to enterprise workflows, offering immediate practical value
+Self-contained modular design allows easy customization and extension of existing skills for specific organizational needs

-Skills are Claude-specific and may not be directly portable to other AI agents or platforms
-Some skills are source-available only (not open source), limiting modification rights for certain components
-Repository serves primarily as demonstration material, requiring thorough testing before production deployment

•Enterprise teams standardizing AI workflows with consistent document creation, branding, and communication processes
•Developers building Claude-powered applications needing reference implementations for complex multi-step tasks
•Organizations creating custom AI skills who need proven architectural patterns from Anthropic's production implementations

Which is more popular, OmO or Skills?: Skills has more GitHub stars (179,388 vs 69,754).
Which is more actively developed, OmO or Skills?: OmO had more commits in the last 90 days (9,367 vs 14).
Should I use OmO or Skills?: Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.