Does this skill require external storage?

While it can function in-memory, it is optimized to work with AgentDB for persistent storage of learned experiences and advanced vector search capabilities.

What are the technical requirements for this skill?

It requires Node.js 18 or higher, agentic-flow version 1.5.11+, and AgentDB version 1.0.4+ if you require data persistence.

Can I share knowledge between different types of agents?

Yes, the transfer learning capability allows agents to apply knowledge gained in one domain (e.g., JavaScript code review) to similar tasks in another domain (e.g., TypeScript code review).

What is ReasoningBank Intelligence?

It is a specialized skill for Claude Code that enables AI agents to learn from their experiences, recognize operational patterns, and optimize their decision-making strategies over time.

How does the strategy optimization feature work?

The skill records the outcomes of various task approaches, compares their success metrics, and recommends the most effective strategy based on the current context.

ReasoningBank Intelligence

Name: ReasoningBank Intelligence
Author: EarthmanWeb

byEarthmanWeb

•

Data Science & ML

Implements adaptive learning and meta-cognitive capabilities to help AI agents optimize strategies and recognize patterns through experience.

ReasoningBank Intelligence empowers Claude agents with a continuous learning loop, allowing them to evolve based on task outcomes and environmental feedback. By integrating with the agentic-flow framework, this skill enables agents to record experiences, compare strategies, and perform transfer learning across different domains. It is particularly useful for building self-improving autonomous systems that need to refine their decision-making processes, reduce errors over time, and handle complex, multi-step workflows with increasing efficiency and precision.

Key Features

01Adaptive pattern recognition from historical agent performance data

022 GitHub stars

03Seamless persistence and vector search integration via AgentDB

04Continuous meta-learning for autonomous workflow improvement

05Strategy optimization through comparative performance analysis

06Cross-domain transfer learning to apply existing knowledge to new tasks

Use Cases

01Implementing meta-cognitive layers for autonomous decision-making systems

02Building self-improving agents for complex software engineering tasks

03Optimizing multi-agent swarm coordination in distributed systems

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add earthmanweb/claude-flow-plugin reasoningbank-intelligence

For use in Claude.ai and ChatGPT

Download Skill