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cfn-automatic-memory-persistence

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Automatic, structured persistence of agent outputs to SQLite database. Use when tracking agent outputs across CFN Loop workflows, persisting confidence scores, or querying agent execution history.

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Source SKILL.md: https://github.com/majiayu000/claude-skill-registry/blob/HEAD/skills/context-management/auto-masharratt-claude-flow-novice-2/SKILL.md

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Automatic Memory Persistence Skill

Overview

This skill provides automatic, structured persistence of agent outputs to a SQLite database, ensuring consistent memory tracking across CFN Loop workflows.

Key Components

  • persist-agent-output.sh: Primary script for saving agent outputs
  • query-agent-history.sh: Query and retrieve past agent outputs
  • test-memory-persistence.sh: Validation test suite

Memory Schema

{
  "agent/[agent-id]/output/[task-id]": {
    "output": "Raw agent output text",
    "confidence": 0.85,
    "iteration": 1,
    "timestamp": "2025-10-20T15:30:00Z",
    "parsed_data": null
  }
}

Integration Points

  • Loop 3 output processing
  • Loop 2 output processing
  • Product Owner decision parsing

Usage Examples

Persist Agent Output

./persist-agent-output.sh \
  "task_authentication_v1" \  # Task ID
  "backend-dev" \             # Agent ID
  "Implemented JWT auth" \    # Output
  0.85 \                      # Confidence
  1                           # Iteration

Query Agent History

# Get last 5 outputs for a specific agent
./query-agent-history.sh "backend-dev" "" 5

# Get outputs for a specific task
./query-agent-history.sh "backend-dev" "task_authentication_v1"

Security & Performance

  • ACL Level 1 (Read-only access)
  • Indexed by tags for fast retrieval
  • Minimal performance overhead
  • Escaped and normalized inputs

Testing

Run comprehensive tests:

./test-memory-persistence.sh

Sprint 7 Insights

  • Confidence: 0.95
  • Priority: 9
  • Provides robust, zero-configuration memory tracking
  • Eliminates manual output saving
  • Supports multi-iteration workflows

Best Practices

  • Always use script for output persistence
  • Do not modify SQLite database directly
  • Use query script for retrieval
  • Add structured parsing for complex outputs