claude-flow-novice/analysis/coordinator-fix-test/cfn-loop-test-coordinator-fix-extracted.json

Claude Flow Novice - Advanced orchestration platform for multi-agent AI workflows with CFN Loop architecture Includes Local RuVector Accelerator and all CFN skills for complete functionality.

{
  "task_id": "test-coordinator-fix",
  "extraction_timestamp": "2025-11-09T09:06:09Z",
  "extraction_version": "1.0.0",
  "redis_keys_analyzed": 5,
  "agents": {
    "cfn-v3-coordinator-1": {
      "agent_type": "coordinator",
      "loop": "coordination",
      "data": {},
      "confidence": 0.85,
      "completion_signal": "complete",
      "messages": [
        "{\"role\":\"user\",\"content\":\"# Agent: cfn-v3-coordinator\\n\\n\\n\\n## Task\\n\\nSimple test: Create a basic README file for the project. This should trigger the orchestrator properly.\\n\\n**Task ID:** test-coordinator-fix\\n\\n## Agent Definition\\n\\n---\\r\\nname: cfn-v3-coordinator\\r\\ndescription: MUST BE USED when starting CFN Loop execution in CLI mode. Do NOT use in task mode. Analyzes task and returns optimal configuration for loop execution.\\r\\nkeywords: [cfn-loop, task-analysis, agent-selection, validation]\\r\\ntools: [Read, Bash, Write, Grep]\\r\\nmodel: sonnet\\r\\ntype: coordinator\\r\\nacl_level: 3\\r\\n---\\r\\n\\r\\n# CFN v3 Coordinator Agent\\r\\n\\r\\nYou coordinate CFN Loop v3 execution with Redis-based agent orchestration and CLI spawning.\\r\\n\\r\\n## Core Responsibility\\r\\n\\r\\nOrchestrate CFN Loop v3 execution using Redis coordination for CLI agent spawning, context management, and consensus collection.\\r\\n\\r\\n## CLI Mode Execution (Coordinator is ALWAYS CLI Mode)\\r\\n\\r\\n**IMPORTANT:** This coordinator agent is **ALWAYS CLI mode**. Task mode coordination happens directly in Main Chat, not via coordinator agents.\\r\\n\\r\\nWhen spawned via CLI (`npx claude-flow-novice agent-spawn`), implement full Redis coordination:\\r\\n- Use Redis coordination for agent spawning\\r\\n- Store context in Redis for swarm recovery\\r\\n- Collect confidence scores via Redis signals\\r\\n- Use background execution with monitoring\\r\\n- **ALWAYS invoke the orchestrator** - never handle tasks directly\\r\\n\\r\\n## Redis Coordination Protocols\\r\\n\\r\\n### CLI Mode Implementation (Production)\\r\\n\\r\\nWhen spawned via CLI (`npx claude-flow-novice agent-spawn`), implement full Redis coordination:\\r\\n\\r\\n#### 1. Task Context Storage\\r\\n```bash\\r\\n# Store task context in Redis for swarm recovery\\r\\nredis-cli HSET \\\"cfn_loop:task:${TASK_ID}:context\\\" \\\\\\r\\n  \\\"epic_goal\\\" \\\"${EPIC_GOAL}\\\" \\\\\\r\\n  \\\"in_scope\\\" \\\"${IN_SCOPE}\\\" \\\\\\r\\n  \\\"out_of_scope\\\" \\\"${OUT_OF_SCOPE}\\\" \\\\\\r\\n  \\\"deliverables\\\" \\\"${DELIVERABLES}\\\" \\\\\\r\\n  \\\"acceptance_criteria\\\" \\\"${ACCEPTANCE_CRITERIA}\\\" \\\\\\r\\n  \\\"mode\\\" \\\"${MODE}\\\" \\\\\\r\\n  \\\"gate_threshold\\\" \\\"${GATE_THRESHOLD}\\\" \\\\\\r\\n  \\\"consensus_threshold\\\" \\\"${CONSENSUS_THRESHOLD}\\\" \\\\\\r\\n  \\\"max_iterations\\\" \\\"${MAX_ITERATIONS}\\\"\\r\\n\\r\\n# Store agent configuration\\r\\nredis-cli HSET \\\"cfn_loop:task:${TASK_ID}:config\\\" \\\\\\r\\n  \\\"loop3_agents\\\" \\\"${LOOP3_AGENTS}\\\" \\\\\\r\\n  \\\"loop2_agents\\\" \\\"${LOOP2_AGENTS}\\\" \\\\\\r\\n  \\\"product_owner\\\" \\\"${PRODUCT_OWNER}\\\" \\\\\\r\\n  \\\"complexity\\\" \\\"${COMPLEXITY}\\\"\\r\\n```\\r\\n\\r\\n#### 2. Agent Spawning with Context Injection\\r\\n```bash\\r\\n# Spawn Loop 3 agents with full context\\r\\nfor agent in \\\"${loop3_agents[@]}\\\"; do\\r\\n  AGENT_ID=\\\"${TASK_ID}-${agent}-$(date +%s)\\\"\\r\\n\\r\\n  # Store agent-specific context\\r\\n  redis-cli HSET \\\"cfn_loop:agent:${AGENT_ID}\\\" \\\\\\r\\n    \\\"agent_type\\\" \\\"${agent}\\\" \\\\\\r\\n    \\\"task_id\\\" \\\"${TASK_ID}\\\" \\\\\\r\\n    \\\"loop_number\\\" \\\"3\\\" \\\\\\r\\n    \\\"iteration\\\" \\\"1\\\" \\\\\\r\\n    \\\"status\\\" \\\"spawning\\\"\\r\\n\\r\\n  # Inject context and spawn via CLI\\r\\n  npx claude-flow-novice agent-spawn \\\"${agent}\\\" \\\\\\r\\n    --task-id \\\"${TASK_ID}\\\" \\\\\\r\\n    --agent-id \\\"${AGENT_ID}\\\" \\\\\\r\\n    --context \\\"$(redis-cli HGETALL \\\"cfn_loop:task:${TASK_ID}:context\\\" | jq -s 'reduce .[] as $item ({}; . + $item)')\\\" &\\r\\n\\r\\n  AGENT_PIDS+=($!)\\r\\ndone\\r\\n\\r\\n# Wait for all Loop 3 agents to complete\\r\\nwait \\\"${AGENT_PIDS[@]}\\\"\\r\\n```\\r\\n\\r\\n#### 3. Agent Completion Collection\\r\\n```bash\\r\\n# Wait for Loop 3 completion signals\\r\\nLOOP3_CONFIDENCES=()\\r\\nfor agent in \\\"${loop3_agents[@]}\\\"; do\\r\\n  AGENT_ID=\\\"${TASK_ID}-${agent}-*\\\"\\r\\n\\r\\n  # Block until agent signals completion (zero-token blocking)\\r\\n  COMPLETION_SIGNAL=$(redis-cli blpop \\\"swarm:${TASK_ID}:${agent}:done\\\" 300)\\r\\n\\r\\n  if [ -n \\\"$COMPLETION_SIGNAL\\\" ]; then\\r\\n    # Extract confidence from agent storage\\r\\n    CONFIDENCE=$(redis-cli HGET \\\"cfn_loop:task:${TASK_ID}:confidence:${agent}\\\")\\r\\n    LOOP3_CONFIDENCES+=(\\\"$CONFIDENCE\\\")\\r\\n  else\\r\\n    echo \\\"⚠️ Agent ${agent} timed out\\\"\\r\\n    LOOP3_CONFIDENCES+=(\\\"0.0\\\")\\r\\n  fi\\r\\ndone\\r\\n\\r\\n# Calculate average confidence for gate check\\r\\nAVERAGE_CONFIDENCE=$(printf '%s\\\\n' \\\"${LOOP3_CONFIDENCES[@]}\\\" | awk '{sum+=$1} END {print sum/NR}')\\r\\necho \\\"Loop 3 average confidence: $AVERAGE_CONFIDENCE\\\"\\r\\n```\\r\\n\\r\\n#### 4. Gate Check (Self-Validation)\\r\\n```bash\\r\\n# Check against mode-specific threshold\\r\\nGATE_THRESHOLD=$(redis-cli HGET \\\"cfn_loop:task:${TASK_ID}:context\\\" \\\"gate_threshold\\\")\\r\\n\\r\\nif (( $(echo \\\"$AVERAGE_CONFIDENCE >= $GATE_THRESHOLD\\\" | bc -l) )); then\\r\\n  echo \\\"✅ Gate PASSED - signaling Loop 2\\\"\\r\\n\\r\\n  # Store gate result and broadcast signal\\r\\n  redis-cli HSET \\\"cfn_loop:task:${TASK_ID}:gate_result\\\" \\\\\\r\\n    \\\"status\\\" \\\"passed\\\" \\\\\\r\\n    \\\"confidence\\\" \\\"$AVERAGE_CONFIDENCE\\\" \\\\\\r\\n    \\\"iteration\\\" \\\"$CURRENT_ITERATION\\\"\\r\\n\\r\\n  # Signal Loop 2 agents to start\\r\\n  redis-cli lpush \\\"swarm:${TASK_ID}:gate-passed\\\" \\\"1\\\"\\r\\n\\r\\n  # Spawn Loop 2 validators\\r\\n  spawn_loop2_validators\\r\\nelse\\r\\n  echo \\\"❌ Gate FAILED - preparing Loop 3 iteration\\\"\\r\\n\\r\\n  # Store gate failure and prepare feedback\\r\\n  redis-cli HSET \\\"cfn_loop:task:${TASK_ID}:gate_result\\\" \\\\\\r\\n    \\\"status\\\" \\\"failed\\\" \\\\\\r\\n    \\\"confidence\\\" \\\"$AVERAGE_CONFIDENCE\\\" \\\\\\r\\n    \\\"iteration\\\" \\\"$CURRENT_ITERATION\\\"\\r\\n\\r\\n  # Prepare iteration feedback\\r\\n  prepare_loop3_feedback\\r\\nfi\\r\\n```\\r\\n\\r\\n#### 5. Loop 2 Consensus Collection\\r\\n```bash\\r\\nspawn_loop2_validators() {\\r\\n  # Spawn Loop 2 agents with Loop 3 work context\\r\\n  for validator in \\\"${loop2_agents[@]}\\\"; do\\r\\n    AGENT_ID=\\\"${TASK_ID}-${validator}-$(date +%s)\\\"\\r\\n\\r\\n    # Store validator context\\r\\n    redis-cli HSET \\\"cfn_loop:agent:${AGENT_ID}\\\" \\\\\\r\\n      \\\"agent_type\\\" \\\"${validator}\\\" \\\\\\r\\n      \\\"task_id\\\" \\\"${TASK_ID}\\\" \\\\\\r\\n      \\\"loop_number\\\" \\\"2\\\" \\\\\\r\\n      \\\"iteration\\\" \\\"$CURRENT_ITERATION\\\"\\r\\n\\r\\n    # Inject validation context\\r\\n    VALIDATION_CONTEXT=$(cat <<EOF\\r\\nReview Loop 3 implementation for iteration ${CURRENT_ITERATION}.\\r\\n\\r\\nTask Context: $(redis-cli HGETALL \\\"cfn_loop:task:${TASK_ID}:context\\\")\\r\\nLoop 3 Confidence: ${AVERAGE_CONFIDENCE}\\r\\nGate Threshold: ${GATE_THRESHOLD}\\r\\n\\r\\nFocus on:\\r\\n- Code quality and best practices\\r\\n- Requirement fulfillment\\r\\n- Security and performance\\r\\n- Deliverable completeness\\r\\nEOF\\r\\n)\\r\\n\\r\\n    npx claude-flow-novice agent-spawn \\\"${validator}\\\" \\\\\\r\\n      --task-id \\\"${TASK_ID}\\\" \\\\\\r\\n      --agent-id \\\"${AGENT_ID}\\\" \\\\\\r\\n      --context \\\"${VALIDATION_CONTEXT}\\\" &\\r\\n\\r\\n    VALIDATOR_PIDS+=($!)\\r\\n  done\\r\\n\\r\\n  wait \\\"${VALIDATOR_PIDS[@]}\\\"\\r\\n}\\r\\n\\r\\n# Collect Loop 2 consensus\\r\\nLOOP2_CONSENSUSES=()\\r\\nfor validator in \\\"${loop2_agents[@]}\\\"; do\\r\\n  CONSENSUS_SIGNAL=$(redis-cli blpop \\\"swarm:${TASK_ID}:${validator}:done\\\" 300)\\r\\n\\r\\n  if [ -n \\\"$CONSENSUS_SIGNAL\\\" ]; then\\r\\n    CONSENSUS_SCORE=$(redis-cli HGET \\\"cfn_loop:task:${TASK_ID}:consensus:${validator}\\\")\\r\\n    LOOP2_CONSENSUSES+=(\\\"$CONSENSUS_SCORE\\\")\\r\\n  else\\r\\n    echo \\\"⚠️ Validator ${validator} timed out\\\"\\r\\n    LOOP2_CONSENSUSES+=(\\\"0.0\\\")\\r\\n  fi\\r\\ndone\\r\\n\\r\\n# Calculate consensus score\\r\\nAVERAGE_CONSENSUS=$(printf '%s\\\\n' \\\"${LOOP2_CONSENSUSES[@]}\\\" | awk '{sum+=$1} END {print sum/NR}')\\r\\necho \\\"Loop 2 consensus: $AVERAGE_CONSENSUS\\\"\\r\\n```\\r\\n\\r\\n#### 6. Product Owner Decision\\r\\n```bash\\r\\n# Spawn Product Owner with all context\\r\\nPO_CONTEXT=$(cat <<EOF\\r\\nMake PROCEED/ITERATE/ABORT decision for CFN Loop.\\r\\n\\r\\nTask: $(redis-cli HGET \\\"cfn_loop:task:${TASK_ID}:context\\\" \\\"epic_goal\\\")\\r\\nMode: $(redis-cli HGET \\\"cfn_loop:task:${TASK_ID}:context\\\" \\\"mode\\\")\\r\\nIteration: ${CURRENT_ITERATION}/$(redis-cli HGET \\\"cfn_loop:task:${TASK_ID}:context\\\" \\\"max_iterations\\\")\\r\\n\\r\\nResults:\\r\\n- Loop 3 Confidence: ${AVERAGE_CONFIDENCE} (threshold: ${GATE_THRESHOLD})\\r\\n- Loop 2 Consensus: ${AVERAGE_CONSENSUS} (threshold: ${CONSENSUS_THRESHOLD})\\r\\n- Gate Status: $(redis-cli HGET \\\"cfn_loop:task:${TASK_ID}:gate_result\\\" \\\"status\\\")\\r\\n\\r\\nDeliverables Created:\\r\\n$(git diff --name-only 2>/dev/null || echo \\\"No git changes detected\\\")\\r\\n\\r\\nDECISION REQUIRED: PROCEED|ITERATE|ABORT\\r\\nEOF\\r\\n)\\r\\n\\r\\n# Spawn Product Owner\\r\\nPO_AGENT_ID=\\\"${TASK_ID}-product-owner-$(date +%s)\\\"\\r\\nnpx claude-flow-novice agent-spawn \\\"product-owner\\\" \\\\\\r\\n  --task-id \\\"${TASK_ID}\\\" \\\\\\r\\n  --agent-id \\\"${PO_AGENT_ID}\\\" \\\\\\r\\n  --context \\\"${PO_CONTEXT}\\\" &\\r\\n\\r\\n# Wait for PO decision\\r\\nPO_SIGNAL=$(redis-cli blpop \\\"swarm:${TASK_ID}:product-owner:done\\\" 300)\\r\\n\\r\\nif [ -n \\\"$PO_SIGNAL\\\" ]; then\\r\\n  # Parse PO decision\\r\\n  PO_DECISION=$(redis-cli HGET \\\"cfn_loop:task:${TASK_ID}:po_decision\\\")\\r\\n\\r\\n  # Store final result\\r\\n  redis-cli HSET \\\"cfn_loop:task:${TASK_ID}:result\\\" \\\\\\r\\n    \\\"decision\\\" \\\"$PO_DECISION\\\" \\\\\\r\\n    \\\"final_confidence\\\" \\\"$AVERAGE_CONFIDENCE\\\" \\\\\\r\\n    \\\"final_consensus\\\" \\\"$AVERAGE_CONSENSUS\\\" \\\\\\r\\n    \\\"iterations_completed\\\" \\\"$CURRENT_ITERATION\\\" \\\\\\r\\n    \\\"completion_time\\\" \\\"$(date -u +%Y-%m-%dT%H:%M:%SZ)\\\"\\r\\n\\r\\n  execute_decision \\\"$PO_DECISION\\\"\\r\\nfi\\r\\n```\\r\\n\\r\\n#### 7. Decision Execution\\r\\n```bash\\r\\nexecute_decision() {\\r\\n  local decision=\\\"$1\\\"\\r\\n\\r\\n  case \\\"$decision\\\" in\\r\\n    \\\"PROCEED\\\")\\r\\n      echo \\\"✅ CFN Loop completed successfully\\\"\\r\\n\\r\\n      # Commit changes if git repo\\r\\n      if git rev-parse --git-dir > /dev/null 2>&1; then\\r\\n        git add .\\r\\n        git commit -m \\\"feat: $(redis-cli HGET \\\"cfn_loop:task:${TASK_ID}:context\\\" \\\"epic_goal\\\")\\r\\n\\r\\nCFN Loop Results:\\r\\n- Iterations: ${CURRENT_ITERATION}\\r\\n- Final Confidence: ${AVERAGE_CONFIDENCE}\\r\\n- Final Consensus: ${AVERAGE_CONSENSUS}\\r\\n- Mode: $(redis-cli HGET \\\"cfn_loop:task:${TASK_ID}:context\\\" \\\"mode\\\")\\r\\n\\r\\n🤖 Generated with CFN Loop v3\\r\\nCo-Authored-By: Claude <noreply@anthropic.com>\\\"\\r\\n      fi\\r\\n\\r\\n      # Cleanup Redis data\\r\\n      redis-cli DEL \\\"cfn_loop:task:${TASK_ID}:*\\\" \\\"swarm:${TASK_ID}:*\\\"\\r\\n      exit 0\\r\\n      ;;\\r\\n\\r\\n    \\\"ITERATE\\\")\\r\\n      if [ \\\"$CURRENT_ITERATION\\\" -ge \\\"$MAX_ITERATIONS\\\" ]; then\\r\\n        echo \\\"❌ Max iterations reached - aborting\\\"\\r\\n        cleanup_and_exit 1\\r\\n      fi\\r\\n\\r\\n      echo \\\"🔄 Iterating - preparing feedback\\\"\\r\\n      CURRENT_ITERATION=$((CURRENT_ITERATION + 1))\\r\\n\\r\\n      # Store iteration context\\r\\n      redis-cli HSET \\\"cfn_loop:task:${TASK_ID}:iteration:${CURRENT_ITERATION}\\\" \\\\\\r\\n        \\\"confidence\\\" \\\"$AVERAGE_CONFIDENCE\\\" \\\\\\r\\n        \\\"consensus\\\" \\\"$AVERAGE_CONSENSUS\\\" \\\\\\r\\n        \\\"feedback\\\" \\\"$(prepare_iteration_feedback)\\\"\\r\\n\\r\\n      # Restart Loop 3 with fresh agents\\r\\n      restart_loop3_agents\\r\\n      ;;\\r\\n\\r\\n    \\\"ABORT\\\")\\r\\n      echo \\\"❌ CFN Loop aborted by Product Owner\\\"\\r\\n      cleanup_and_exit 1\\r\\n      ;;\\r\\n\\r\\n    *)\\r\\n      echo \\\"❌ Invalid decision: $decision\\\"\\r\\n      cleanup_and_exit 1\\r\\n      ;;\\r\\n  esac\\r\\n}\\r\\n```\\r\\n\\r\\n#### 8. Agent Completion Protocol (Mode-Specific)\\r\\n```bash\\r\\n# CLI Mode Completion Signal (REQUIRED for CLI-spawned agents)\\r\\nsignal_agent_completion() {\\r\\n  local confidence=\\\"$1\\\"\\r\\n  local iteration=\\\"$2\\\"\\r\\n\\r\\n  if [[ -n \\\"${TASK_ID:-}\\\" && -n \\\"${AGENT_ID:-}\\\" ]]; then\\r\\n    # Signal completion\\r\\n    redis-cli lpush \\\"swarm:${TASK_ID}:${AGENT_ID}:done\\\" \\\"complete\\\"\\r\\n\\r\\n    # Report confidence score\\r\\n    redis-cli HSET \\\"cfn_loop:task:${TASK_ID}:confidence:${AGENT_ID}\\\" \\\\\\r\\n      \\\"confidence\\\" \\\"$confidence\\\" \\\\\\r\\n      \\\"iteration\\\" \\\"$iteration\\\" \\\\\\r\\n      \\\"reported_at\\\" \\\"$(date -u +%Y-%m-%dT%H:%M:%SZ)\\\"\\r\\n\\r\\n    # Use coordination script for structured reporting\\r\\n    ./.claude/skills/cfn-redis-coordination/invoke-waiting-mode.sh report \\\\\\r\\n      --task-id \\\"$TASK_ID\\\" \\\\\\r\\n      --agent-id \\\"$AGENT_ID\\\" \\\\\\r\\n      --confidence \\\"$confidence\\\" \\\\\\r\\n      --iteration \\\"$iteration\\\"\\r\\n  fi\\r\\n}\\r\\n\\r\\n# Task Mode (if spawned via Task() in Main Chat)\\r\\n# Simply return JSON response - no Redis signals needed\\r\\n```\\r\\n\\r\\n### Task Mode Implementation (Debugging)\\r\\n\\r\\nWhen spawned via Task() tool in Main Chat:\\r\\n- No Redis coordination needed\\r\\n- Return simple JSON configuration\\r\\n- Main Chat handles all agent spawning\\r\\n\\r\\n## Output Format (REQUIRED)\\r\\n\\r\\nReturn ONLY this JSON structure, nothing else:\\r\\n\\r\\n```json\\r\\n{\\r\\n  \\\"task_type\\\": \\\"software-development|content-creation|research|design|infrastructure|data-engineering\\\",\\r\\n  \\\"loop3_agents\\\": [\\\"agent1\\\", \\\"agent2\\\", \\\"agent3\\\"],\\r\\n  \\\"loop2_agents\\\": [\\\"validator1\\\", \\\"validator2\\\", \\\"validator3\\\"],\\r\\n  \\\"loop4_agent\\\": \\\"product-owner\\\",\\r\\n  \\\"validation_criteria\\\": {\\r\\n    \\\"critical\\\": [\\\"criterion1\\\", \\\"criterion2\\\"],\\r\\n    \\\"important\\\": [\\\"criterion3\\\", \\\"criterion4\\\"],\\r\\n    \\\"nice_to_have\\\": [\\\"criterion5\\\"]\\r\\n  },\\r\\n  \\\"deliverables\\\": [\\r\\n    \\\"path/to/file1.ext\\\",\\r\\n    \\\"path/to/file2.ext\\\"\\r\\n  ],\\r\\n  \\\"gate_threshold\\\": 0.75,\\r\\n  \\\"consensus_threshold\\\": 0.90,\\r\\n  \\\"max_iterations\\\": 10,\\r\\n  \\\"estimated_iterations\\\": 3,\\r\\n  \\\"complexity\\\": \\\"low|medium|high\\\",\\r\\n  \\\"reasoning\\\": \\\"Brief explanation of agent selection and validation choices\\\"\\r\\n}\\r\\n```\\r\\n\\r\\n## Analysis Framework\\r\\n\\r\\n### Task Classification\\r\\n\\r\\n**1. Software Development**\\r\\n- loop3_agents: [\\\"backend-developer\\\", \\\"frontend-developer\\\", \\\"qa-tester\\\"]\\r\\n- loop2_agents: [\\\"reviewer\\\", \\\"tester\\\", \\\"code-quality-validator\\\"]\\r\\n- loop4_agent: \\\"product-owner\\\"\\r\\n\\r\\n**2. Infrastructure**\\r\\n- loop3_agents: [\\\"devops-engineer\\\", \\\"security-specialist\\\", \\\"cloud-architect\\\"]\\r\\n- loop2_agents: [\\\"reviewer\\\", \\\"security-specialist\\\", \\\"performance-benchmarker\\\"]\\r\\n- loop4_agent: \\\"product-owner\\\"\\r\\n\\r\\n**3. Content Creation**\\r\\n- loop3_agents: [\\\"technical-writer\\\", \\\"documentation-specialist\\\", \\\"content-reviewer\\\"]\\r\\n- loop2_agents: [\\\"reviewer\\\", \\\"editor\\\", \\\"quality-validator\\\"]\\r\\n- loop4_agent: \\\"product-owner\\\"\\r\\n\\r\\n**4. Research & Analysis**\\r\\n- loop3_agents: [\\\"researcher\\\", \\\"data-analyst\\\", \\\"domain-expert\\\"]\\r\\n- loop2_agents: [\\\"peer-reviewer\\\", \\\"methodology-validator\\\", \\\"quality-checker\\\"]\\r\\n- loop4_agent: \\\"product-owner\\\"\\r\\n\\r\\n**5. Design**\\r\\n- loop3_agents: [\\\"ux-designer\\\", \\\"ui-implementer\\\", \\\"accessibility-specialist\\\"]\\r\\n- loop2_agents: [\\\"design-reviewer\\\", \\\"usability-tester\\\", \\\"standards-validator\\\"]\\r\\n- loop4_agent: \\\"product-owner\\\"\\r\\n\\r\\n**6. Data Engineering**\\r\\n- loop3_agents: [\\\"data-engineer\\\", \\\"pipeline-specialist\\\", \\\"quality-validator\\\"]\\r\\n- loop2_agents: [\\\"data-reviewer\\\", \\\"performance-analyst\\\", \\\"security-validator\\\"]\\r\\n- loop4_agent: \\\"product-owner\\\"\\r\\n\\r\\n### Mode Selection\\r\\n\\r\\n**MVP Mode:**\\r\\n- gate_threshold: 0.70\\r\\n- consensus_threshold: 0.80\\r\\n- max_iterations: 5\\r\\n\\r\\n**Standard Mode:**\\r\\n- gate_threshold: 0.75\\r\\n- consensus_threshold: 0.90\\r\\n- max_iterations: 10\\r\\n\\r\\n**Enterprise Mode:**\\r\\n- gate_threshold: 0.85\\r\\n- consensus_threshold: 0.95\\r\\n- max_iterations: 15\\r\\n\\r\\n### Complexity Assessment\\r\\n\\r\\n**Low Complexity:**\\r\\n- Single domain, well-defined requirements\\r\\n- Estimated iterations: 2-3\\r\\n- Standard validation criteria\\r\\n\\r\\n**Medium Complexity:**\\r\\n- Cross-functional dependencies\\r\\n- Estimated iterations: 4-7\\r\\n- Enhanced validation criteria\\r\\n\\r\\n**High Complexity:**\\r\\n- Multiple domains, ambiguous requirements\\r\\n- Estimated iterations: 8-12\\r\\n- Comprehensive validation criteria\\r\\n\\r\\n### Deliverable Analysis\\r\\n\\r\\nExtract deliverables from task description:\\r\\n- Look for explicit file mentions\\r\\n- Identify implied deliverables from requirements\\r\\n- Consider standard deliverables for task type\\r\\n- Include both implementation and documentation files\\r\\n\\r\\n### Agent Selection Rules\\r\\n\\r\\n**Loop 3 (Implementation):**\\r\\n- Primary agent handles main implementation\\r\\n- Secondary agents handle cross-cutting concerns\\r\\n- Always include domain-specific specialists\\r\\n\\r\\n**Loop 2 (Validation):**\\r\\n- At least one general reviewer\\r\\n- One domain specialist validator\\r\\n- One quality/specialized validator\\r\\n\\r\\n**Loop 4 (Decision):**\\r\\n- Always use product-owner for strategic decisions\\r\\n\\r\\n## Task Analysis Process\\r\\n\\r\\n1. **Parse Task Description**\\r\\n   - Identify domain and task type\\r\\n   - Extract explicit deliverables\\r\\n   - Assess complexity indicators\\r\\n\\r\\n2. **Select Mode**\\r\\n   - Default to standard mode\\r\\n   - Use MVP for simple prototypes\\r\\n   - Use enterprise for critical systems\\r\\n\\r\\n3. **Choose Agents**\\r\\n   - Match domain expertise\\r\\n   - Ensure validation coverage\\r\\n   - Include security/quality specialists\\r\\n\\r\\n4. **Set Validation Criteria**\\r\\n   - Critical: must-have requirements\\r\\n   - Important: expected quality standards\\r\\n   - Nice-to-have: enhancement opportunities\\r\\n\\r\\n5. **Estimate Effort**\\r\\n   - Assess complexity level\\r\\n   - Estimate iteration count\\r\\n   - Provide reasoning for choices\\r\\n\\r\\n## Execution Steps (CLI Mode Only)\\r\\n\\r\\n**CRITICAL:** This coordinator is ALWAYS CLI mode. There is no Task Mode execution path.\\r\\n\\r\\n### Step 1: Task Classification (REQUIRED)\\r\\n```bash\\r\\n# Classify task type (use hardcoded defaults if script fails)\\r\\nTASK_TYPE=\\\"infrastructure\\\"  # Default fallback\\r\\nif [[ -f \\\".claude/skills/task-classifier/classify-task.sh\\\" ]]; then\\r\\n  CLASSIFIED_TYPE=$(bash .claude/skills/task-classifier/classify-task.sh \\\"$TASK_DESCRIPTION\\\" 2>/dev/null || echo \\\"\\\")\\r\\n  [[ -n \\\"$CLASSIFIED_TYPE\\\" ]] && TASK_TYPE=\\\"$CLASSIFIED_TYPE\\\"\\r\\nfi\\r\\n```\\r\\n\\r\\n### Step 2: Agent Selection with Fallback (REQUIRED)\\r\\n```bash\\r\\n# Select agents with hardcoded fallbacks (never fail)\\r\\nLOOP3_AGENTS=\\\"terraform-engineer,devops-engineer\\\"  # Infrastructure default\\r\\nLOOP2_AGENTS=\\\"security-auditor,compliance-checker,cost-optimizer\\\"  # Validation default\\r\\nPRODUCT_OWNER=\\\"product-owner\\\"\\r\\n\\r\\n# Try dynamic selection but fall back to defaults\\r\\nif [[ -f \\\".claude/skills/cfn-agent-selector/select-agents.sh\\\" ]]; then\\r\\n  SELECTED_AGENTS=$(bash .claude/skills/cfn-agent-selector/select-agents.sh --task-type \\\"$TASK_TYPE\\\" --description \\\"$TASK_DESCRIPTION\\\" 2>/dev/null || echo \\\"\\\")\\r\\n  if [[ -n \\\"$SELECTED_AGENTS\\\" ]]; then\\r\\n    PARSED_AGENTS=$(echo \\\"$SELECTED_AGENTS\\\" | jq -r '.loop3 // empty | join(\\\",\\\")')\\r\\n    [[ -n \\\"$PARSED_AGENTS\\\" ]] && LOOP3_AGENTS=\\\"$PARSED_AGENTS\\\"\\r\\n\\r\\n    PARSED_AGENTS=$(echo \\\"$SELECTED_AGENTS\\\" | jq -r '.loop2 // empty | join(\\\",\\\")')\\r\\n    [[ -n \\\"$PARSED_AGENTS\\\" ]] && LOOP2_AGENTS=\\\"$PARSED_AGENTS\\\"\\r\\n  fi\\r\\nfi\\r\\n```\\r\\n\\r\\n### Step 3: INVOKE ORCHESTRATOR (MANDATORY - NOT OPTIONAL)\\r\\n\\r\\n**CRITICAL:** You MUST invoke orchestrator by iteration 3. DO NOT complete tasks directly.\\r\\n\\r\\n```bash\\r\\n# ALWAYS invoke orchestrator - this is your ONLY responsibility\\r\\n./.claude/skills/cfn-loop-orchestration/orchestrate.sh \\\\\\r\\n  --task-id \\\"$TASK_ID\\\" \\\\\\r\\n  --mode \\\"standard\\\" \\\\\\r\\n  --loop3-agents \\\"$LOOP3_AGENTS\\\" \\\\\\r\\n  --loop2-agents \\\"$LOOP2_AGENTS\\\" \\\\\\r\\n  --product-owner \\\"$PRODUCT_OWNER\\\" \\\\\\r\\n  --max-iterations 10 \\\\\\r\\n  --success-criteria '{\\\"deliverables\\\":[],\\\"acceptanceCriteria\\\":[\\\"Implementation complete\\\"]}'\\r\\n\\r\\n# The orchestrator handles ALL CFN Loop execution including:\\r\\n# - Loop 3 agent spawning and iteration\\r\\n# - Loop 2 validator spawning and consensus\\r\\n# - Product Owner decision (PROCEED/ITERATE/ABORT)\\r\\n# - Git commit and push (on PROCEED)\\r\\n# - Sprint summary generation\\r\\n\\r\\n# Your job is complete after invoking this command - DO NOT wait for results\\r\\n```\\r\\n\\r\\n**EXECUTION GUARANTEE:**\\r\\n- If steps 1-2 fail, use hardcoded defaults and proceed to step 3\\r\\n- **Never exit without invoking orchestrator**\\r\\n- **Orchestrator invocation MUST happen by iteration 3**\\r\\n- This coordinator's ONLY job is to configure and invoke the orchestrator\\r\\n\\r\\n## Success Metrics\\r\\n\\r\\n- Agent selections match domain expertise\\r\\n- Validation criteria cover all critical requirements\\r\\n- Deliverable list is comprehensive\\r\\n- Confidence score ≥ 0.85 in analysis quality\\r\\n- **CRITICAL: Orchestrator invoked successfully**\\n\\n\\n## CFN Loop Redis Completion Protocol\\n\\nYou are participating in a CFN Loop workflow. Follow this protocol EXACTLY:\\n\\n### Step 1: Complete Your Work\\nExecute your assigned task (implementation, review, testing, etc.)\\n\\n### Step 2: Calculate Confidence Score\\nAssess your work quality and assign a confidence score (0.0-1.0):\\n- 0.90-1.0: Excellent, production-ready\\n- 0.75-0.89: Good, minor issues possible\\n- 0.50-0.74: Acceptable, needs review\\n- 0.0-0.49: Poor, significant issues\\n\\n### Step 3: Report Completion to Redis\\n```bash\\n./.claude/skills/cfn-redis-coordination/report-completion.sh \\\\\\n  --task-id \\\"test-coordinator-fix\\\" \\\\\\n  --agent-id \\\"cfn-v3-coordinator-1\\\" \\\\\\n  --confidence [YOUR_CONFIDENCE_SCORE] \\\\\\n  --iteration ${ITERATION:-1}\\n```\\n\\nThis script automatically:\\n- Signals completion via `swarm:test-coordinator-fix:cfn-v3-coordinator-1:done`\\n- Stores confidence in `swarm:test-coordinator-fix:cfn-v3-coordinator-1:confidence`\\n- Creates result hash in `swarm:test-coordinator-fix:cfn-v3-coordinator-1:result`\\n- Updates SQLite persistence layer\\n\\n### Step 4: Exit Cleanly\\nAfter reporting, exit immediately. DO NOT enter waiting mode.\\n\\nThe orchestrator will:\\n- Collect confidence scores from all agents\\n- Run gate check (≥0.75 threshold)\\n- Spawn validators if gate passes\\n- Spawn fresh agents for iteration N+1 if needed\\n\\n**Environment Variables Available:**\\n- TASK_ID: test-coordinator-fix\\n- AGENT_ID: cfn-v3-coordinator-1\\n- ITERATION: Current iteration number (default: 1)\\n- CONFIDENCE_SCORE: Your final confidence assessment\\n\\n**Why This Matters:**\\n- Enables zero-token coordination (orchestrator uses Redis BLPOP)\\n- Supports adaptive agent specialization (spawn different specialist for iteration N+1)\\n- Prevents memory leaks (agents exit after reporting)\\n- Confidence scores drive gate checks and consensus validation\\n\\n**CRITICAL:** Report completion before exiting. Orchestrator is waiting for your signal.\\n\\n\\n\\n## Environment Variables\\n\\n```bash\\nTASK_ID=test-coordinator-fix\\n```\\n\\n\\n## Execution Instructions\\n\\n1. Read and understand the task requirements\\n2. Execute your core responsibilities as defined above\\n3. Follow any protocol steps (CFN Loop, validation hooks, etc.)\\n4. Provide clear, concise output\\n5. Report confidence score if applicable\\n\\n## Pre-Edit Backup Protocol (MANDATORY)\\n\\n**BEFORE ANY Edit/Write/MultiEdit operation, you MUST create a backup:**\\n\\n```bash\\nBACKUP_PATH=$(./.claude/hooks/cfn-invoke-pre-edit.sh \\\"$FILE_TO_EDIT\\\" --agent-id \\\"cfn-v3-coordinator-1\\\")\\n```\\n\\n**Why:** Enables safe file revert without git operations during parallel sessions.\\n**Location:** `.backups/[agent-id]/[timestamp]_[hash]/`\\n**Retention:** 24h TTL (configurable)\\n\\n**Complete Edit Workflow:**\\n```bash\\n# 1. Pre-Edit: Create backup\\nBACKUP_PATH=$(./.claude/hooks/cfn-invoke-pre-edit.sh \\\"src/file.ts\\\" --agent-id \\\"cfn-v3-coordinator-1\\\")\\n\\n# 2. Edit: Perform file modification\\nEdit: file_path=\\\"src/file.ts\\\" old_string=\\\"...\\\" new_string=\\\"...\\\"\\n\\n# 3. Post-Edit: Validate changes\\n./.claude/hooks/cfn-invoke-post-edit.sh \\\"src/file.ts\\\" --agent-id \\\"cfn-v3-coordinator-1\\\"\\n```\\n\",\"iteration\":1,\"timestamp\":\"2025-11-09T09:05:25.628Z\"}",
        "{\"role\":\"assistant\",\"content\":\"```bash\\n# Step 1: Task Classification\\nTASK_TYPE=\\\"content-creation\\\"\\n\\n# Step 2: Agent Selection with Fallback\\nLOOP3_AGENTS=\\\"technical-writer,content-specialist\\\"\\nLOOP2_AGENTS=\\\"reviewer,editor,quality-validator\\\"\\nPRODUCT_OWNER=\\\"product-owner\\\"\\n\\n# Step 3: INVOKE ORCHESTRATOR (MANDATORY)\\necho \\\"🚀 Invoking CFN Loop orchestrator for README creation task...\\\"\\n\\n./.claude/skills/cfn-loop-orchestration/orchestrate.sh \\\\\\n  --task-id \\\"test-coordinator-fix\\\" \\\\\\n  --mode \\\"standard\\\" \\\\\\n  --loop3-agents \\\"$LOOP3_AGENTS\\\" \\\\\\n  --loop2-agents \\\"$LOOP2_AGENTS\\\" \\\\\\n  --product-owner \\\"$PRODUCT_OWNER\\\" \\\\\\n  --max-iterations 10 \\\\\\n  --success-criteria '{\\\"deliverables\\\":[\\\"README.md\\\"],\\\"acceptanceCriteria\\\":[\\\"Basic project README created\\\"]}'\\n\\necho \\\"✅ Orchestrator invoked successfully - CFN Loop execution started\\\"\\n```\\n\\n## Task Analysis Complete\\n\\n**Task Classification:** Content Creation (README documentation)\\n**Agent Selection:** Technical writer + content specialist for implementation, with reviewer/editor/quality validators\\n**Mode:** Standard (0.75 gate, 0.90 consensus, 10 iterations max)\\n**Complexity:** Low (single deliverable, well-defined requirements)\\n\\nThe orchestrator is now handling the complete CFN Loop execution including agent spawning, confidence collection, gate checks, and Product Owner decision.\",\"iteration\":1,\"timestamp\":\"2025-11-09T09:05:25.634Z\"}"
      ],
      "result": null
    }
  },
  "metadata": {
    "task_context": ""
  },
  "summary": {
    "total_agents": 1,
    "completion_signals": 1,
    "average_confidence": 0.850,
    "confidence_scores_count": 1,
    "completed_agents": [
      "cfn-v3-coordinator-1"
    ],
    "extraction_status": "success"
  }
}