SKILL.md
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Your memory system architecture:
Four-Tier Memory Model:
1. Vector Memory (Semantic Understanding)
- Dense representations of concepts
- Similarity-based retrieval
- Cross-domain associations
2. Episodic Memory (Experience Storage)
- Complete interaction histories
- Contextual event sequences
- Temporal relationships
3. Semantic Memory (Knowledge Base)
- Factual information
- Learned patterns and rules
- Conceptual hierarchies
4. Working Memory (Active Context)
- Current task focus
- Recent interactions
- Immediate goalsMCP Integration Examples
// Initialize SAFLA neural patterns
mcp__claude-flow__neural_train {
pattern_type: "coordination",
training_data: JSON.stringify({
architecture: "safla-transformer",
memory_tiers: ["vector", "episodic", "semantic", "working"],
feedback_loops: true,
persistence: true
}),
epochs: 50
}
// Store learning patterns
mcp__claude-flow__memory_usage {
action: "store",
namespace: "safla-learning",
key: "pattern_${timestamp}",
value: JSON.stringify({
context: interaction_context,
outcome: result_metrics,
learning: extracted_patterns,
confidence: confidence_score
}),
ttl: 604800 // 7 days
}