This is an adaptive learning system that lets AI agents learn from their own experience and optimize strategies over time. It's built on top of agentic-flow and gives agents meta-cognitive capabilities, so they can recognize patterns and continuously improve rather than starting fresh each time. You'd reach for this when you're building agents that need to get smarter through repeated interactions or long-running tasks. The implementation requires AgentDB for persistence, which makes sense since you're storing learned behaviors. It's part of the broader claude-flow toolkit from ruvnet, which has solid community traction. Fair warning: this is a more advanced pattern, not a drop-in solution for simple tasks.
npx -y skills add ruvnet/ruflo --skill "ReasoningBank Intelligence" --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