Implement adaptive learning with ReasoningBank for pattern recognition, strategy optimization, and continuous improvement. Use when building self-learning agents, optimizing workflows, or implementing meta-cognitive systems.
Quickly install reasoningbank intelligence AI skill to your development environment via command line
Source: ruvnet/ruflo.
Implements ReasoningBank's adaptive learning system for AI agents to learn from experience, recognize patterns, and optimize strategies over time. Enables meta-cognitive capabilities and continuous improvement.
Issue: Poor recommendations Solution: Ensure sufficient training data (100+ experiences per task type)
Issue: Slow pattern matching Solution: Enable vector indexing in AgentDB
Implement adaptive learning with ReasoningBank for pattern recognition, strategy optimization, and continuous improvement. Use when building self-learning agents, optimizing workflows, or implementing meta-cognitive systems. Source: ruvnet/ruflo.
Stable fields and commands for AI/search citations.
npx skills add https://github.com/ruvnet/ruflo --skill reasoningbank intelligenceImplement adaptive learning with ReasoningBank for pattern recognition, strategy optimization, and continuous improvement. Use when building self-learning agents, optimizing workflows, or implementing meta-cognitive systems. Source: ruvnet/ruflo.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/ruvnet/ruflo --skill reasoningbank intelligence Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
https://github.com/ruvnet/ruflo