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An agent-native skill recommendation engine powered by MemTensor that dynamically routes and recommends just-in-time skills to AI agents, enabling intelligent skill discovery and selection.

SkillsVote provides lifecycle governance for agent skills, from collection and recommendation to evolution, featuring the largest open agent skill library with 1.68M+ discovered SKILL.md files and 790K+ validated skills, powered by attribution-grounded feedback.

SkillsVote provides lifecycle governance for agent skills, routing skills just in time, learning from task execution, and evolving reusable skill libraries through attribution-grounded feedback, with over 1.68M discovered SKILL.md files from open-source repositories.

SkillsVote provides lifecycle governance for agent skills, covering collection, just-in-time recommendation, trajectory-based attribution, and feedback-driven evolution across over 1.68 million discovered SKILL.md files.

Part of SkillsVote, a lifecycle governance framework for AI agent skills that manages collection, just-in-time recommendation, trajectory-based attribution, and feedback-driven evolution across a library of over 790K validated skills.

SkillsVote is an agent-native skill recommendation engine that dynamically routes AI agents to the exact skills they need, maximizing token efficiency and task success rates. It mines 1.68M+ SKILL.md files from GitHub to build the world's largest skill library.