v3 swarm coordination

仓库: ruvnet/claude-flow
安装量: 41
排名: #17518

安装

npx skills add https://github.com/proffesor-for-testing/agentic-qe --skill 'V3 Swarm Coordination'

V3 Swarm Coordination What This Skill Does Orchestrates the complete 15-agent hierarchical mesh swarm for claude-flow v3 implementation, coordinating parallel execution across domains while maintaining dependencies and timeline adherence. Quick Start

Initialize 15-agent v3 swarm

Task ( "Swarm initialization" , "Initialize hierarchical mesh for v3 implementation" , "v3-queen-coordinator" )

Security domain (Phase 1 - Critical priority)

Task ( "Security architecture" , "Design v3 threat model and security boundaries" , "v3-security-architect" ) Task ( "CVE remediation" , "Fix CVE-1, CVE-2, CVE-3 vulnerabilities" , "security-auditor" ) Task ( "Security testing" , "Implement TDD security framework" , "test-architect" )

Core domain (Phase 2 - Parallel execution)

Task
(
"Memory unification"
,
"Implement AgentDB 150x improvement"
,
"v3-memory-specialist"
)
Task
(
"Integration architecture"
,
"Deep agentic-flow@alpha integration"
,
"v3-integration-architect"
)
Task
(
"Performance validation"
,
"Validate 2.49x-7.47x targets"
,
"v3-performance-engineer"
)
15-Agent Swarm Architecture
Hierarchical Mesh Topology
👑 QUEEN COORDINATOR
(Agent #1)
│
┌────────────────────┼────────────────────┐
│ │ │
🛡️ SECURITY 🧠 CORE 🔗 INTEGRATION
(Agents #2-4) (Agents #5-9) (Agents #10-12)
│ │ │
└────────────────────┼────────────────────┘
│
┌────────────────────┼────────────────────┐
│ │ │
🧪 QUALITY ⚡ PERFORMANCE 🚀 DEPLOYMENT
(Agent #13) (Agent #14) (Agent #15)
Agent Roster
ID
Agent
Domain
Phase
Responsibility
1
Queen Coordinator
Orchestration
All
GitHub issues, dependencies, timeline
2
Security Architect
Security
Foundation
Threat modeling, CVE planning
3
Security Implementer
Security
Foundation
CVE fixes, secure patterns
4
Security Tester
Security
Foundation
TDD security testing
5
Core Architect
Core
Systems
DDD architecture, coordination
6
Core Implementer
Core
Systems
Core module implementation
7
Memory Specialist
Core
Systems
AgentDB unification
8
Swarm Specialist
Core
Systems
Unified coordination engine
9
MCP Specialist
Core
Systems
MCP server optimization
10
Integration Architect
Integration
Integration
agentic-flow@alpha deep integration
11
CLI/Hooks Developer
Integration
Integration
CLI modernization
12
Neural/Learning Dev
Integration
Integration
SONA integration
13
TDD Test Engineer
Quality
All
London School TDD
14
Performance Engineer
Performance
Optimization
Benchmarking validation
15
Release Engineer
Deployment
Release
CI/CD and v3.0.0 release
Implementation Phases
Phase 1: Foundation (Week 1-2)
Active Agents

1, #2-4, #5-6

const
phase1
=
async
(
)
=>
{
// Parallel security and architecture foundation
await
Promise
.
all
(
[
// Security domain (critical priority)
Task
(
"Security architecture"
,
"Complete threat model and security boundaries"
,
"v3-security-architect"
)
,
Task
(
"CVE-1 fix"
,
"Update vulnerable dependencies"
,
"security-implementer"
)
,
Task
(
"CVE-2 fix"
,
"Replace weak password hashing"
,
"security-implementer"
)
,
Task
(
"CVE-3 fix"
,
"Remove hardcoded credentials"
,
"security-implementer"
)
,
Task
(
"Security testing"
,
"TDD London School security framework"
,
"test-architect"
)
,
// Core architecture foundation
Task
(
"DDD architecture"
,
"Design domain boundaries and structure"
,
"core-architect"
)
,
Task
(
"Type modernization"
,
"Update type system for v3"
,
"core-implementer"
)
]
)
;
}
;
Phase 2: Core Systems (Week 3-6)
Active Agents

1, #5-9, #13

const
phase2
=
async
(
)
=>
{
// Parallel core system implementation
await
Promise
.
all
(
[
Task
(
"Memory unification"
,
"Implement AgentDB with 150x-12,500x improvement"
,
"v3-memory-specialist"
)
,
Task
(
"Swarm coordination"
,
"Merge 4 coordination systems into unified engine"
,
"swarm-specialist"
)
,
Task
(
"MCP optimization"
,
"Optimize MCP server performance"
,
"mcp-specialist"
)
,
Task
(
"Core implementation"
,
"Implement DDD modular architecture"
,
"core-implementer"
)
,
Task
(
"TDD core tests"
,
"Comprehensive test coverage for core systems"
,
"test-architect"
)
]
)
;
}
;
Phase 3: Integration (Week 7-10)
Active Agents

1, #10-12, #13-14

const
phase3
=
async
(
)
=>
{
// Parallel integration and optimization
await
Promise
.
all
(
[
Task
(
"agentic-flow integration"
,
"Eliminate 10,000+ duplicate lines"
,
"v3-integration-architect"
)
,
Task
(
"CLI modernization"
,
"Enhance CLI with hooks system"
,
"cli-hooks-developer"
)
,
Task
(
"SONA integration"
,
"Implement <0.05ms learning adaptation"
,
"neural-learning-developer"
)
,
Task
(
"Performance benchmarking"
,
"Validate 2.49x-7.47x targets"
,
"v3-performance-engineer"
)
,
Task
(
"Integration testing"
,
"End-to-end system validation"
,
"test-architect"
)
]
)
;
}
;
Phase 4: Release (Week 11-14)
Active Agents
All 15
const
phase4
=
async
(
)
=>
{
// Full swarm final optimization
await
Promise
.
all
(
[
Task
(
"Performance optimization"
,
"Final optimization pass"
,
"v3-performance-engineer"
)
,
Task
(
"Release preparation"
,
"CI/CD pipeline and v3.0.0 release"
,
"release-engineer"
)
,
Task
(
"Final testing"
,
"Complete test coverage validation"
,
"test-architect"
)
,
// All agents: Final polish and optimization
...
agents
.
map
(
agent
=>
Task
(
"Final polish"
,
`
Agent
${
agent
.
id
}
final optimization
`
,
agent
.
name
)
)
]
)
;
}
;
Coordination Patterns
Dependency Management
class
DependencyCoordination
{
private
dependencies
=
new
Map
(
[
// Security first (no dependencies)
[
2
,
[
]
]
,
[
3
,
[
2
]
]
,
[
4
,
[
2
,
3
]
]
,
// Core depends on security foundation
[
5
,
[
2
]
]
,
[
6
,
[
5
]
]
,
[
7
,
[
5
]
]
,
[
8
,
[
5
,
7
]
]
,
[
9
,
[
5
]
]
,
// Integration depends on core systems
[
10
,
[
5
,
7
,
8
]
]
,
[
11
,
[
5
,
10
]
]
,
[
12
,
[
7
,
10
]
]
,
// Quality and performance cross-cutting
[
13
,
[
2
,
5
]
]
,
[
14
,
[
5
,
7
,
8
,
10
]
]
,
[
15
,
[
13
,
14
]
]
]
)
;
async
coordinateExecution
(
)
:
Promise
<
void
>
{
const
completed
=
new
Set
<
number
>
(
)
;
while
(
completed
.
size
<
15
)
{
const
ready
=
this
.
getReadyAgents
(
completed
)
;
if
(
ready
.
length
===
0
)
{
throw
new
Error
(
'Deadlock detected in dependency chain'
)
;
}
// Execute ready agents in parallel
await
Promise
.
all
(
ready
.
map
(
agentId
=>
this
.
executeAgent
(
agentId
)
)
)
;
ready
.
forEach
(
id
=>
completed
.
add
(
id
)
)
;
}
}
}
GitHub Integration
class
GitHubCoordination
{
async
initializeV3Milestone
(
)
:
Promise
<
void
>
{
await
gh
.
createMilestone
(
{
title
:
'Claude-Flow v3.0.0 Implementation'
,
description
:
'15-agent swarm implementation of 10 ADRs'
,
dueDate
:
this
.
calculate14WeekDeadline
(
)
}
)
;
}
async
createEpicIssues
(
)
:
Promise
<
void
>
{
const
epics
=
[
{
title
:
'Security Overhaul (CVE-1,2,3)'
,
agents
:
[
2
,
3
,
4
]
}
,
{
title
:
'Memory Unification (AgentDB)'
,
agents
:
[
7
]
}
,
{
title
:
'agentic-flow Integration'
,
agents
:
[
10
]
}
,
{
title
:
'Performance Optimization'
,
agents
:
[
14
]
}
,
{
title
:
'DDD Architecture'
,
agents
:
[
5
,
6
]
}
]
;
for
(
const
epic
of
epics
)
{
await
gh
.
createIssue
(
{
title
:
epic
.
title
,
labels
:
[
'epic'
,
'v3'
,
...
epic
.
agents
.
map
(
id
=>
`
agent-
${
id
}
`
)
]
,
assignees
:
epic
.
agents
.
map
(
id
=>
this
.
getAgentGithubUser
(
id
)
)
}
)
;
}
}
async
trackProgress
(
)
:
Promise
<
void
>
{
// Hourly progress updates from each agent
setInterval
(
async
(
)
=>
{
for
(
const
agent
of
this
.
agents
)
{
await
this
.
postAgentProgress
(
agent
)
;
}
}
,
3600000
)
;
// 1 hour
}
}
Communication Bus
class
SwarmCommunication
{
private
bus
=
new
QuicSwarmBus
(
{
maxAgents
:
15
,
messageTimeout
:
30000
,
retryAttempts
:
3
}
)
;
async
broadcastToSecurityDomain
(
message
:
SwarmMessage
)
:
Promise
<
void
>
{
await
this
.
bus
.
broadcast
(
message
,
{
targetAgents
:
[
2
,
3
,
4
]
,
priority
:
'critical'
}
)
;
}
async
coordinateCoreSystems
(
message
:
SwarmMessage
)
:
Promise
<
void
>
{
await
this
.
bus
.
broadcast
(
message
,
{
targetAgents
:
[
5
,
6
,
7
,
8
,
9
]
,
priority
:
'high'
}
)
;
}
async
notifyIntegrationTeam
(
message
:
SwarmMessage
)
:
Promise
<
void
>
{
await
this
.
bus
.
broadcast
(
message
,
{
targetAgents
:
[
10
,
11
,
12
]
,
priority
:
'medium'
}
)
;
}
}
Performance Coordination
Parallel Efficiency Monitoring
class
EfficiencyMonitor
{
async
measureParallelEfficiency
(
)
:
Promise
<
EfficiencyReport
>
{
const
agentUtilization
=
await
this
.
measureAgentUtilization
(
)
;
const
coordinationOverhead
=
await
this
.
measureCoordinationCost
(
)
;
return
{
totalEfficiency
:
agentUtilization
.
average
,
target
:
0.85
,
// >85% utilization
achieved
:
agentUtilization
.
average
>
0.85
,
bottlenecks
:
this
.
identifyBottlenecks
(
agentUtilization
)
,
recommendations
:
this
.
generateOptimizations
(
)
}
;
}
}
Load Balancing
class
SwarmLoadBalancer
{
async
balanceWorkload
(
)
:
Promise
<
void
>
{
const
workloads
=
await
this
.
analyzeAgentWorkloads
(
)
;
for
(
const
[
agentId
,
load
]
of
workloads
.
entries
(
)
)
{
if
(
load
>
this
.
getCapacityThreshold
(
agentId
)
)
{
await
this
.
redistributeWork
(
agentId
)
;
}
}
}
async
redistributeWork
(
overloadedAgent
:
number
)
:
Promise
<
void
>
{
const
availableAgents
=
this
.
getAvailableAgents
(
)
;
const
tasks
=
await
this
.
getAgentTasks
(
overloadedAgent
)
;
// Redistribute tasks to available agents
for
(
const
task
of
tasks
)
{
const
bestAgent
=
this
.
selectOptimalAgent
(
task
,
availableAgents
)
;
await
this
.
reassignTask
(
task
,
bestAgent
)
;
}
}
}
Success Metrics
Swarm Coordination
Parallel Efficiency
>85% agent utilization time
Dependency Resolution
Zero deadlocks or blocking issues
Communication Latency
<100ms inter-agent messaging
Timeline Adherence
14-week delivery maintained
GitHub Integration
<4h automated issue response
Implementation Targets
ADR Coverage
All 10 ADRs implemented successfully
Performance
2.49x-7.47x Flash Attention achieved
Search
150x-12,500x AgentDB improvement validated
Code Reduction
<5,000 lines (vs 15,000+)
Security
90/100 security score achieved Related V3 Skills v3-security-overhaul - Security domain coordination v3-memory-unification - Memory system coordination v3-integration-deep - Integration domain coordination v3-performance-optimization - Performance domain coordination Usage Examples Initialize Complete V3 Swarm

Queen Coordinator initializes full swarm

Task ( "V3 swarm initialization" , "Initialize 15-agent hierarchical mesh for complete v3 implementation" , "v3-queen-coordinator" ) Phase-based Execution

Phase 1: Security-first foundation

npm run v3:phase1:security

Phase 2: Core systems parallel

npm run v3:phase2:core-systems

Phase 3: Integration and optimization

npm run v3:phase3:integration

Phase 4: Release preparation

npm run v3:phase4:release

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