ReasoningBank Intelligence
CommunityEmpower AI agents with adaptive learning and strategy optimization.
Software Engineering#adaptive learning#continuous improvement#reasoningbank#strategy optimization#pattern recognition#meta-learning#AI intelligence
AuthorDmccarty30
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill implements ReasoningBank's adaptive learning system, enabling AI agents to continuously learn from experience, recognize patterns, and optimize their strategies over time. It provides meta-cognitive capabilities for self-improving agents and workflows.
Core Features & Use Cases
- Pattern Recognition: Learn and match complex patterns from observed data and outcomes.
- Strategy Optimization: Compare and recommend the best strategies for specific tasks based on past performance.
- Continuous Learning: Automatically update models and improve decision-making from all task outcomes.
- Use Case: Create an adaptive agent for code review. It records the outcome of each review (bugs found, time taken), learns optimal approaches (e.g., "static analysis first"), and continuously refines its strategy for future code reviews.
Quick Start
Initialize ReasoningBank, record a successful code review experience, and then get an optimal strategy recommendation for a new code review task.
Dependency Matrix
Required Modules
agentic-flowagentdb
Components
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: ReasoningBank Intelligence Download link: https://github.com/Dmccarty30/Journeyman-Jobs/archive/main.zip#reasoningbank-intelligence Please download this .zip file, extract it, and install it in the .claude/skills/ directory.