ReasoningBank Intelligence

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• SKILL.md

SKILL.md (first lines)

# ReasoningBank Intelligence

## What This Skill Does

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.

## Prerequisites

- agentic-flow v1.5.11+
- AgentDB v1.0.4+ (for persistence)
- Node.js 18+

## Quick Start

```typescript
import { ReasoningBank } from 'agentic-flow/reasoningbank';

// Initialize ReasoningBank
const rb = new ReasoningBank({
  persist: true,
  learningRate: 0.1,
  adapter: 'agentdb' // Use AgentDB for storage
});

// Record task outcome
await rb.recordExperience({
  task: 'code_review',
  approach: 'static_analysis_first',
  outcome: {
    success: true,
    metrics: {
      bugs_found: 5,
      time_taken: 120,
      false_positives: 1
    }
  },
  context: {
    language: 'typescript',
    complexity: 'medium'
  }
});

// Get optimal strategy
const strategy = await rb.recommendStrategy('code_review', {
  language: 'typescript',
  complexity: 'high'
});
```

## Core Features

### 1. Pattern Recognition
```typescript
// Learn patterns from data
await rb.learnPattern({
  pattern: 'api_errors_increase_after_deploy',
  triggers: ['deployment', 'traffic_spike'],
  actions: ['rollback', 'scale_up'],
  confidence: 0.85
});

// Match patterns
const matches = await rb.matchPatterns(currentSituation);
```

### 2. Strategy Optimization
```typescript
// Compare strategies
const comparison = await rb.compareStrategies('bug_fixing', [
  'tdd_approach',
  'debug_first',
  'reproduce_then_fix'
]);

// Get best strategy
const best = comparison.strategies[0];
console.log(`Best: ${best.name} (score: ${best.score})`);
```

### 3. Continuous Learning
```typescript
// Enable auto-learning from all tasks
await rb.enableAutoLearning({
  threshold: 0.7,        // Only learn from high-confidence outcomes
  updateFrequency: 100   // Update models every 100 experiences
});
```

## Advanced Usage

### Meta-Learning
```typescript
// Learn about learning
await rb.metaLearn({
  observation: 'parallel_execution_faster_for_independent_tasks',
  confidence: 0.95,
  applicability: {
    task_types: ['batch_processing', 'data_transformation'],
    conditions: ['tasks_independent', 'io_bound']
  }
});
```

### Transfer Learning
```typescript
// Apply knowledge from one domain to another
await rb.transferKnowledge({
  from: 'code_review_javascript',
  to: 'code_review_typescript',
  similarity: 0.8
});
```

### Adaptive Agents
```typescript
// Create self-improving agent
class AdaptiveAgent {
  async execute(task: Task) {
    // Get optimal strategy

From aegntic/cldcde, MIT.

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