v3 deep integration

仓库: ruvnet/claude-flow
安装量: 40
排名: #17914

安装

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

V3 Deep Integration What This Skill Does Transforms claude-flow from parallel implementation to specialized extension of agentic-flow@alpha, eliminating massive code duplication while achieving performance improvements and feature parity. Quick Start

Initialize deep integration

Task ( "Integration architecture" , "Design agentic-flow@alpha adapter layer" , "v3-integration-architect" )

Feature integration (parallel)

Task
(
"SONA integration"
,
"Integrate 5 SONA learning modes"
,
"v3-integration-architect"
)
Task
(
"Flash Attention"
,
"Implement 2.49x-7.47x speedup"
,
"v3-integration-architect"
)
Task
(
"AgentDB coordination"
,
"Setup 150x-12,500x search"
,
"v3-integration-architect"
)
Code Deduplication Strategy
Current Overlap → Integration
┌─────────────────────────────────────────┐
│ claude-flow agentic-flow │
├─────────────────────────────────────────┤
│ SwarmCoordinator → Swarm System │ 80% overlap (eliminate)
│ AgentManager → Agent Lifecycle │ 70% overlap (eliminate)
│ TaskScheduler → Task Execution │ 60% overlap (eliminate)
│ SessionManager → Session Mgmt │ 50% overlap (eliminate)
└─────────────────────────────────────────┘
TARGET: <5,000 lines (vs 15,000+ currently)
agentic-flow@alpha Feature Integration
SONA Learning Modes
class
SONAIntegration
{
async
initializeMode
(
mode
:
SONAMode
)
:
Promise
<
void
>
{
switch
(
mode
)
{
case
'real-time'
:
// ~0.05ms adaptation
case
'balanced'
:
// general purpose
case
'research'
:
// deep exploration
case
'edge'
:
// resource-constrained
case
'batch'
:
// high-throughput
}
await
this
.
agenticFlow
.
sona
.
setMode
(
mode
)
;
}
}
Flash Attention Integration
class
FlashAttentionIntegration
{
async
optimizeAttention
(
)
:
Promise
<
AttentionResult
>
{
return
this
.
agenticFlow
.
attention
.
flashAttention
(
{
speedupTarget
:
'2.49x-7.47x'
,
memoryReduction
:
'50-75%'
,
mechanisms
:
[
'multi-head'
,
'linear'
,
'local'
,
'global'
]
}
)
;
}
}
AgentDB Coordination
class
AgentDBIntegration
{
async
setupCrossAgentMemory
(
)
:
Promise
<
void
>
{
await
this
.
agentdb
.
enableCrossAgentSharing
(
{
indexType
:
'HNSW'
,
speedupTarget
:
'150x-12500x'
,
dimensions
:
1536
}
)
;
}
}
MCP Tools Integration
class
MCPToolsIntegration
{
async
integrateBuiltinTools
(
)
:
Promise
<
void
>
{
// Leverage 213 pre-built tools
const
tools
=
await
this
.
agenticFlow
.
mcp
.
getAvailableTools
(
)
;
await
this
.
registerClaudeFlowSpecificTools
(
tools
)
;
// Use 19 hook types
const
hookTypes
=
await
this
.
agenticFlow
.
hooks
.
getTypes
(
)
;
await
this
.
configureClaudeFlowHooks
(
hookTypes
)
;
}
}
Migration Implementation
Phase 1: Adapter Layer
import
{
Agent
as
AgenticFlowAgent
}
from
'agentic-flow@alpha'
;
export
class
ClaudeFlowAgent
extends
AgenticFlowAgent
{
async
handleClaudeFlowTask
(
task
:
ClaudeTask
)
:
Promise
<
TaskResult
>
{
return
this
.
executeWithSONA
(
task
)
;
}
// Backward compatibility
async
legacyCompatibilityLayer
(
oldAPI
:
any
)
:
Promise
<
any
>
{
return
this
.
adaptToNewAPI
(
oldAPI
)
;
}
}
Phase 2: System Migration
class
SystemMigration
{
async
migrateSwarmCoordination
(
)
:
Promise
<
void
>
{
// Replace SwarmCoordinator (800+ lines) with agentic-flow Swarm
const
swarmConfig
=
await
this
.
extractSwarmConfig
(
)
;
await
this
.
agenticFlow
.
swarm
.
initialize
(
swarmConfig
)
;
}
async
migrateAgentManagement
(
)
:
Promise
<
void
>
{
// Replace AgentManager (1,736+ lines) with agentic-flow lifecycle
const
agents
=
await
this
.
extractActiveAgents
(
)
;
for
(
const
agent
of
agents
)
{
await
this
.
agenticFlow
.
agent
.
create
(
agent
)
;
}
}
async
migrateTaskExecution
(
)
:
Promise
<
void
>
{
// Replace TaskScheduler with agentic-flow task graph
const
tasks
=
await
this
.
extractTasks
(
)
;
await
this
.
agenticFlow
.
task
.
executeGraph
(
this
.
buildTaskGraph
(
tasks
)
)
;
}
}
Phase 3: Cleanup
class
CodeCleanup
{
async
removeDeprecatedCode
(
)
:
Promise
<
void
>
{
// Remove massive duplicate implementations
await
this
.
removeFile
(
'src/core/SwarmCoordinator.ts'
)
;
// 800+ lines
await
this
.
removeFile
(
'src/agents/AgentManager.ts'
)
;
// 1,736+ lines
await
this
.
removeFile
(
'src/task/TaskScheduler.ts'
)
;
// 500+ lines
// Total reduction: 10,000+ → <5,000 lines
}
}
RL Algorithm Integration
class
RLIntegration
{
algorithms
=
[
'PPO'
,
'DQN'
,
'A2C'
,
'MCTS'
,
'Q-Learning'
,
'SARSA'
,
'Actor-Critic'
,
'Decision-Transformer'
]
;
async
optimizeAgentBehavior
(
)
:
Promise
<
void
>
{
for
(
const
algorithm
of
this
.
algorithms
)
{
await
this
.
agenticFlow
.
rl
.
train
(
algorithm
,
{
episodes
:
1000
,
rewardFunction
:
this
.
claudeFlowRewardFunction
}
)
;
}
}
}
Performance Integration
Flash Attention Targets
const
attentionBenchmark
=
{
baseline
:
'current attention mechanism'
,
target
:
'2.49x-7.47x improvement'
,
memoryReduction
:
'50-75%'
,
implementation
:
'agentic-flow@alpha Flash Attention'
}
;
AgentDB Search Performance
const
searchBenchmark
=
{
baseline
:
'linear search in current systems'
,
target
:
'150x-12,500x via HNSW indexing'
,
implementation
:
'agentic-flow@alpha AgentDB'
}
;
Backward Compatibility
Gradual Migration
class
BackwardCompatibility
{
// Phase 1: Dual operation
async
enableDualOperation
(
)
:
Promise
<
void
>
{
this
.
oldSystem
.
continue
(
)
;
this
.
newSystem
.
initialize
(
)
;
this
.
syncState
(
this
.
oldSystem
,
this
.
newSystem
)
;
}
// Phase 2: Feature-by-feature migration
async
migrateGradually
(
)
:
Promise
<
void
>
{
const
features
=
this
.
getAllFeatures
(
)
;
for
(
const
feature
of
features
)
{
await
this
.
migrateFeature
(
feature
)
;
await
this
.
validateFeatureParity
(
feature
)
;
}
}
// Phase 3: Complete transition
async
completeTransition
(
)
:
Promise
<
void
>
{
await
this
.
validateFullParity
(
)
;
await
this
.
deprecateOldSystem
(
)
;
}
}
Success Metrics
Code Reduction
<5,000 lines orchestration (vs 15,000+)
Performance
2.49x-7.47x Flash Attention speedup
Search
150x-12,500x AgentDB improvement
Memory
50-75% usage reduction
Feature Parity
100% v2 functionality maintained
SONA
<0.05ms adaptation time
Integration
All 213 MCP tools + 19 hook types available Related V3 Skills v3-memory-unification - Memory system integration v3-performance-optimization - Performance target validation v3-swarm-coordination - Swarm system migration v3-security-overhaul - Secure integration patterns
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