skills-vote-local

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, 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.

A next-generation agent-native skill recommendation engine that dynamically routes and delivers just-in-time skills to AI agents, powered by MemTensor.

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.