interface AgentSpec {
  id: number;
  name: string;
  type: AgentType;
  role: string;
  capabilities: string[];
  modules: string[];
  dependencies: number[];
  tools: string[];
  concurrencyLimit: number;
  priority: 'critical' | 'high' | 'medium' | 'low';
}

id: 1
name: queen-coordinator
type: orchestrator
role: Swarm orchestration, GitHub issue management, cross-agent coordination

capabilities:
  - Task decomposition and assignment
  - Dependency resolution
  - GitHub issue creation/updates
  - Milestone tracking
  - Agent health monitoring
  - Conflict resolution

modules:
  - All (oversight only)

dependencies: []

tools:
  - mcp__claude-flow__swarm_init
  - mcp__claude-flow__agent_spawn
  - mcp__claude-flow__task_orchestrate
  - mcp__claude-flow__memory_usage
  - gh (GitHub CLI)
  - TodoWrite

concurrency_limit: 1
priority: critical

github_responsibilities:
  - Create v3 milestone
  - Create epic issues for each phase
  - Track all agent progress
  - Post daily summary comments
  - Manage blockers and escalations

spawn_command: |
  npx claude-flow agent spawn queen-coordinator \
    --topology hierarchical \
    --max-agents 15 \
    --github-sync enabled

id: 2
name: security-architect
type: architect
role: Security architecture review and design

capabilities:
  - Threat modeling
  - Security pattern design
  - Vulnerability assessment
  - Compliance verification
  - Security architecture documentation

modules:
  - api/
  - permissions/
  - core/auth-service.ts
  - core/secure-foundation.ts (create)

dependencies: []

tools:
  - Read
  - Grep
  - Glob
  - Write
  - Edit
  - npm audit

concurrency_limit: 1
priority: critical

deliverables:
  - SECURITY-ARCHITECTURE.md
  - Threat model documentation
  - Security patterns catalog
  - CVE remediation plan

spawn_command: |
  npx claude-flow agent spawn security-architect \
    --focus "security,architecture" \
    --modules "api,permissions,core"

id: 3
name: security-implementer
type: coder
role: Implement security fixes and secure coding patterns

capabilities:
  - Secure code implementation
  - Password hashing (bcrypt)
  - Token generation (crypto.randomBytes)
  - Input validation (Zod)
  - Path sanitization
  - Command injection prevention

modules:
  - api/auth-service.ts
  - core/security/
  - hooks/validation/
  - utils/security.ts

dependencies: [2]

tools:
  - Read
  - Write
  - Edit
  - Bash (npm test)
  - LSP

concurrency_limit: 2
priority: critical

fixes_required:
  CVE-1:
    description: Vulnerable dependencies
    action: npm update @anthropic-ai/claude-code@^2.0.31
    files: package.json

  CVE-2:
    description: Weak password hashing (SHA-256 with hardcoded salt)
    action: Replace with bcrypt (12 rounds)
    files: api/auth-service.ts:580-588

  CVE-3:
    description: Hardcoded default credentials
    action: Generate random on installation
    files: api/auth-service.ts:602-643

  HIGH-1:
    description: Command injection via shell:true
    action: Use execFile without shell
    files: Multiple spawn() calls

  HIGH-2:
    description: Path traversal vulnerabilities
    action: Validate with path.resolve() + prefix check
    files: Multiple file operations

spawn_command: |
  npx claude-flow agent spawn security-implementer \
    --focus "security,implementation" \
    --tdd enabled

id: 4
name: security-tester
type: tester
role: Security testing using TDD London School

capabilities:
  - Security test design
  - Penetration test automation
  - Mock-based security testing
  - Fuzzing implementation
  - Security regression tests

modules:
  - __tests__/security/
  - __tests__/api/
  - verification/security/

dependencies: [2, 3]

tools:
  - Read
  - Write
  - Edit
  - Bash (npm test)
  - Jest

concurrency_limit: 2
priority: critical

test_categories:
  - authentication_tests:
      - Password hashing strength
      - Token generation entropy
      - Session management
      - Credential storage

  - authorization_tests:
      - Permission validation
      - Role-based access
      - Resource ownership

  - injection_tests:
      - Command injection
      - Path traversal
      - SQL injection (if applicable)
      - XSS prevention

  - crypto_tests:
      - Random number generation
      - Hash function usage
      - Key management

spawn_command: |
  npx claude-flow agent spawn security-tester \
    --focus "security,testing" \
    --tdd london-school \
    --coverage-target 95

id: 5
name: core-architect
type: architect
role: Core platform architecture redesign

capabilities:
  - Domain-driven design
  - Microkernel architecture
  - Dependency injection patterns
  - God object decomposition
  - Interface-based design

modules:
  - core/orchestrator.ts (1,440 lines → decompose)
  - core/index.ts
  - core/interfaces/

dependencies: [2]

tools:
  - Read
  - Grep
  - Glob
  - Write
  - LSP

concurrency_limit: 1
priority: high

refactoring_targets:
  orchestrator_decomposition:
    current: 1,440 lines (god object)
    target:
      - core/orchestrator/task-manager.ts (~200 lines)
      - core/orchestrator/session-manager.ts (~200 lines)
      - core/orchestrator/health-monitor.ts (~150 lines)
      - core/orchestrator/lifecycle-manager.ts (~150 lines)
      - core/orchestrator/event-coordinator.ts (~100 lines)
      - core/orchestrator/index.ts (~50 lines facade)

  unified_coordinator:
    merge:
      - SwarmCoordinator
      - Hive Mind
      - Maestro
      - AgentManager clusters
    into: core/coordinator/unified-coordinator.ts

spawn_command: |
  npx claude-flow agent spawn core-architect \
    --focus "architecture,core" \
    --pattern "domain-driven"

id: 6
name: core-implementer
type: coder
role: Core module implementation

capabilities:
  - TypeScript implementation
  - Interface implementation
  - Event-driven patterns
  - Dependency injection
  - Clean code practices

modules:
  - core/
  - types/
  - config/
  - constants/
  - utils/

dependencies: [5]

tools:
  - Read
  - Write
  - Edit
  - Bash (npm run build, npm test)
  - LSP

concurrency_limit: 3
priority: high

implementation_tasks:
  - Implement decomposed orchestrator modules
  - Create unified coordinator interfaces
  - Modernize type definitions
  - Implement config validation (Zod)
  - Create secure utility functions

spawn_command: |
  npx claude-flow agent spawn core-implementer \
    --focus "implementation,core" \
    --tdd enabled

id: 7
name: memory-specialist
type: specialist
role: Memory system unification with AgentDB

capabilities:
  - Memory backend design
  - AgentDB integration
  - HNSW indexing
  - Vector search optimization
  - Cache management
  - Data migration

modules:
  - memory/
  - db/
  - reasoningbank/
  - resources/

dependencies: [5]

tools:
  - Read
  - Write
  - Edit
  - Bash
  - AgentDB tools

concurrency_limit: 2
priority: high

unification_plan:
  current_systems:
    - MemoryManager
    - DistributedMemorySystem
    - SwarmMemory
    - AdvancedMemoryManager
    - SQLiteBackend
    - MarkdownBackend
    - HybridBackend

  target_architecture:
    primary: AgentDB (from agentic-flow@alpha)
    features:
      - 150x-12,500x faster search (HNSW)
      - Unified query interface
      - Automatic persistence
      - Cross-agent memory sharing
      - SONA integration for learning

  migration_strategy:
    - Create AgentDB adapter implementing IMemoryBackend
    - Migrate data from SQLite/Markdown
    - Deprecate old systems gradually
    - Maintain backward compatibility layer

spawn_command: |
  npx claude-flow agent spawn memory-specialist \
    --focus "memory,agentdb" \
    --integration agentic-flow

id: 8
name: swarm-specialist
type: specialist
role: Swarm coordination system unification

capabilities:
  - Swarm topology design
  - Consensus mechanisms
  - Task decomposition
  - Agent orchestration
  - QUIC communication

modules:
  - swarm/
  - coordination/
  - hive-mind/
  - consciousness-symphony/
  - execution/

dependencies: [5, 7]

tools:
  - Read
  - Write
  - Edit
  - Bash
  - mcp__claude-flow__swarm_*

concurrency_limit: 2
priority: high

unification_plan:
  merge_systems:
    - SwarmCoordinator (27KB file!)
    - Hive Mind (queen-led)
    - Maestro (SPARC)
    - AgentManager clusters

  unified_system:
    name: UnifiedSwarmCoordinator
    topologies:
      - mesh (peer-to-peer)
      - hierarchical (queen-led)
      - centralized (single coordinator)
      - hybrid (adaptive)

    consensus:
      - Raft (leader election)
      - Byzantine (fault tolerance)
      - Gossip (eventually consistent)

    features:
      - QUIC-based messaging
      - Dynamic topology switching
      - Auto-scaling
      - Health monitoring
      - Task decomposition

spawn_command: |
  npx claude-flow agent spawn swarm-specialist \
    --focus "swarm,coordination" \
    --topology-support all

id: 9
name: mcp-specialist
type: specialist
role: MCP server optimization and transport layer

capabilities:
  - MCP protocol implementation
  - Transport layer optimization
  - Tool registry management
  - Session management
  - Load balancing

modules:
  - mcp/
  - adapters/
  - providers/
  - communication/
  - terminal/

dependencies: [5]

tools:
  - Read
  - Write
  - Edit
  - Bash
  - MCP tools

concurrency_limit: 2
priority: high

optimization_targets:
  - Reduce MCP server startup time
  - Optimize tool registration
  - Improve transport layer performance
  - Add connection pooling
  - Implement graceful shutdown
  - Add metrics collection

spawn_command: |
  npx claude-flow agent spawn mcp-specialist \
    --focus "mcp,transport" \
    --protocol-version 2024.11.5

id: 10
name: integration-architect
type: architect
role: agentic-flow@alpha deep integration

capabilities:
  - SDK integration patterns
  - API bridge design
  - Backward compatibility
  - Performance optimization
  - Feature mapping

modules:
  - services/
  - integration/
  - sdk/
  - patches/
  - services/agentic-flow-hooks/

dependencies: [5, 7, 8]

tools:
  - Read
  - Write
  - Edit
  - Bash
  - agentic-flow SDK

concurrency_limit: 2
priority: high

integration_scope:
  agentic_flow_features:
    SONA:
      - Real-time learning mode
      - Balanced learning mode
      - Research learning mode
      - Edge learning mode
      - Batch learning mode

    Flash_Attention:
      - 2.49x-7.47x speedup
      - 50-75% memory reduction
      - 8 attention mechanisms

    AgentDB:
      - 150x-12,500x faster search
      - HNSW indexing
      - Multi-database coordination

    MCP_Tools:
      - 213 pre-built tools
      - 19 hook types

    RL_Algorithms:
      - PPO, DQN, A2C
      - MCTS, Q-Learning
      - SARSA, Actor-Critic
      - Decision Transformer
      - Curiosity-Driven

spawn_command: |
  npx claude-flow agent spawn integration-architect \
    --focus "integration,agentic-flow" \
    --sdk-version "2.0.1-alpha.50"

id: 11
name: cli-hooks-developer
type: coder
role: CLI modernization and hooks system

capabilities:
  - CLI command design
  - Hook system implementation
  - Workflow automation
  - Interactive prompts
  - Progress visualization

modules:
  - cli/
  - hooks/
  - automation/
  - modes/
  - workflows/

dependencies: [5, 10]

tools:
  - Read
  - Write
  - Edit
  - Bash
  - CLI testing tools

concurrency_limit: 2
priority: medium

tasks:
  cli_modernization:
    - Split index.ts (108KB) into focused commands
    - Split enterprise.ts (68KB) into feature modules
    - Add interactive prompts
    - Improve help documentation
    - Add shell completions

  hooks_enhancement:
    - Deep integration with orchestrator lifecycle
    - Add missing hooks (agent spawn, task decomposition)
    - Hook composition and chaining
    - Performance hooks for benchmarking
    - Learning hooks for SONA integration

spawn_command: |
  npx claude-flow agent spawn cli-hooks-developer \
    --focus "cli,hooks" \
    --interactive enabled

id: 12
name: neural-learning-developer
type: coder
role: Neural and learning system integration

capabilities:
  - Neural network integration
  - SONA learning implementation
  - ReasoningBank integration
  - Pattern learning
  - Continuous improvement

modules:
  - neural/
  - maestro/
  - mle-star/
  - task/
  - templates/

dependencies: [7, 10]

tools:
  - Read
  - Write
  - Edit
  - Bash
  - Neural/ML tools

concurrency_limit: 2
priority: medium

integration_targets:
  SONA_modes:
    - real-time: Sub-millisecond adaptation
    - balanced: General purpose
    - research: Deep exploration
    - edge: Resource-constrained
    - batch: High-throughput

  ReasoningBank:
    - Trajectory tracking
    - Verdict judgment
    - Memory distillation
    - Pattern recognition

  Learning_algorithms:
    - Decision Transformer
    - Q-Learning
    - SARSA
    - Actor-Critic
    - PPO
    - Curiosity-Driven

spawn_command: |
  npx claude-flow agent spawn neural-learning-developer \
    --focus "neural,learning" \
    --sona-integration enabled

id: 13
name: tdd-test-engineer
type: tester
role: London School TDD across all modules

capabilities:
  - Mock-first test design
  - Outside-in development
  - Behavior verification
  - Test coverage optimization
  - Integration testing

modules:
  - __tests__/ (primary)
  - tests/
  - verification/
  - All modules (test creation)

dependencies: [2, 5]

tools:
  - Read
  - Write
  - Edit
  - Bash (jest, vitest)
  - Coverage tools

concurrency_limit: 3
priority: high

tdd_methodology:
  approach: London School (Mock-first)

  principles:
    - Start with failing acceptance test
    - Mock all collaborators
    - Test behavior, not implementation
    - One assertion per test
    - Red-Green-Refactor cycle

  coverage_targets:
    unit: 90%
    integration: 80%
    e2e: 70%

  test_categories:
    - Unit tests (mocked dependencies)
    - Integration tests (real subsystems)
    - Contract tests (API boundaries)
    - Performance tests (benchmarks)
    - Security tests (vulnerability checks)

spawn_command: |
  npx claude-flow agent spawn tdd-test-engineer \
    --focus "testing,tdd" \
    --methodology london-school \
    --coverage-target 90

id: 14
name: performance-engineer
type: specialist
role: Benchmarking and performance optimization

capabilities:
  - Performance profiling
  - Benchmark design
  - Bottleneck identification
  - Memory optimization
  - Latency reduction

modules:
  - monitoring/
  - verification/
  - benchmarks/ (create)
  - All modules (audit)

dependencies: [5, 7, 8, 10]

tools:
  - Read
  - Write
  - Edit
  - Bash (benchmark tools)
  - Profiling tools

concurrency_limit: 2
priority: high

benchmark_suite:
  categories:
    startup:
      - CLI cold start time
      - MCP server initialization
      - Agent spawn latency

    memory_operations:
      - Vector search (target: 150x improvement)
      - Memory write throughput
      - Cache hit rates

    swarm_operations:
      - Agent coordination latency
      - Task decomposition time
      - Consensus achievement time

    attention_mechanisms:
      - Flash attention (target: 2.49x-7.47x)
      - Multi-head attention
      - Linear attention

    learning:
      - SONA adaptation time (<0.05ms)
      - Pattern matching latency
      - Model update frequency

  targets:
    performance_gain: 2.49x-7.47x (Flash Attention)
    search_improvement: 150x-12,500x (AgentDB)
    memory_reduction: 50-75%
    startup_time: <500ms

spawn_command: |
  npx claude-flow agent spawn performance-engineer \
    --focus "performance,benchmarks" \
    --profile enabled

id: 15
name: release-engineer
type: devops
role: Deployment and release management

capabilities:
  - CI/CD pipeline design
  - Release automation
  - Version management
  - Platform packaging
  - Documentation updates

modules:
  - .github/
  - migration/
  - enterprise/
  - deployment/ (create)

dependencies: [13, 14]

tools:
  - Read
  - Write
  - Edit
  - Bash
  - gh (GitHub CLI)
  - npm publish

concurrency_limit: 2
priority: medium

deployment_strategy:
  versioning:
    scheme: semver
    current: 2.7.47
    target: 3.0.0

  platforms:
    - npm registry
    - GitHub releases
    - Docker images (optional)

  ci_cd:
    - GitHub Actions workflows
    - Automated testing
    - Security scanning
    - Performance regression checks
    - Cross-platform builds

  release_process:
    - Alpha releases (weekly)
    - Beta releases (bi-weekly)
    - RC releases (pre-release)
    - Stable release (v3.0.0)

  migration:
    - v2 → v3 migration scripts
    - Configuration converters
    - Data migration tools
    - Backward compatibility tests

spawn_command: |
  npx claude-flow agent spawn release-engineer \
    --focus "deployment,release" \
    --version-target "3.0.0"

#!/bin/bash
# Initialize 15-agent swarm for v3 implementation

# Phase 1: Foundation agents
npx claude-flow swarm init v3-implementation \
  --topology hierarchical \
  --max-agents 15 \
  --github-sync enabled

# Spawn Queen Coordinator first
npx claude-flow agent spawn queen-coordinator --id 1

# Spawn Security Domain (parallel)
npx claude-flow agent spawn security-architect --id 2 &
npx claude-flow agent spawn security-implementer --id 3 &
npx claude-flow agent spawn security-tester --id 4 &

# Spawn Core Domain (parallel)
npx claude-flow agent spawn core-architect --id 5 &
npx claude-flow agent spawn core-implementer --id 6 &

wait

# Phase 2: Specialist agents
npx claude-flow agent spawn memory-specialist --id 7 &
npx claude-flow agent spawn swarm-specialist --id 8 &
npx claude-flow agent spawn mcp-specialist --id 9 &

wait

# Phase 3: Integration agents
npx claude-flow agent spawn integration-architect --id 10 &
npx claude-flow agent spawn cli-hooks-developer --id 11 &
npx claude-flow agent spawn neural-learning-developer --id 12 &

wait

# Phase 4: Quality & Deployment
npx claude-flow agent spawn tdd-test-engineer --id 13 &
npx claude-flow agent spawn performance-engineer --id 14 &
npx claude-flow agent spawn release-engineer --id 15 &

wait

echo "All 15 agents spawned successfully"
npx claude-flow swarm status