This is a reinforcement learning toolkit that plugs into AgentDB, giving you nine different RL algorithms ranging from Q-Learning to Decision Transformers. The real appeal here is the WASM-accelerated neural inference, which they claim speeds up training by 10-100x. You'd reach for this if you're building autonomous agents that need to learn from experience rather than just following rules. It's part of the ruflo suite from ruvnet, which has a solid GitHub presence at 57K stars. Fair warning though, both Socket and Snyk flagged security concerns, so audit the dependencies before you ship anything production-critical. Assumes you know your way around RL concepts already.
npx -y skills add ruvnet/ruflo --skill "AgentDB Learning Plugins" --agent claude-codeInstalls into .claude/skills of the current project.
Select a file.
juliusbrussee/caveman
mattpocock/skills
shadcn/improve
obra/superpowers
forrestchang/andrej-karpathy-skills
vercel-labs/skills