V3 Deep Integration

Migrate claude-flow to an agentic-flow@alpha adapter layer with phased cleanup.

Updated Feb 10, 2026
One-click install
npx skills add https://github.com/monktui/git-review --skill v3-deep-integration-monktui
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: V3 Deep Integration
Source: https://github.com/monktui/git-review/tree/main/.claude/skills/v3-integration-deep
Command: npx skills add https://github.com/monktui/git-review --skill v3-deep-integration-monktui

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

V3 Deep Integration resolves severe code duplication and parallel re-implementation drift by restructuring claude-flow into a dedicated extension layer over agentic-flow@alpha, improving maintainability while preserving feature parity and performance targets.

Core Features & Use Cases

  • Adapter-layer deep integration: Implements an adapter layer (e.g., ClaudeFlowAgent) to route tasks into agentic-flow@alpha execution while retaining backward compatibility for legacy interfaces.
  • Feature parity with targeted subsystems: Integrates SONA learning modes, Flash Attention optimization, AgentDB cross-agent memory coordination, and MCP tool + hook registration to ensure the same capabilities without redundant code paths.
  • Phased migration and cleanup: Executes phase-based migration (adapter, system migration, then cleanup) to progressively replace SwarmCoordinator, AgentManager, and TaskScheduler with agentic-flow components and remove deprecated duplicated modules.

Quick Start

Use the V3 Deep Integration skill to design the agentic-flow@alpha adapter layer first, then migrate SONA, Flash Attention, AgentDB, and MCP tools in feature-by-feature phases until code duplication drops below the target threshold.

Frequently Asked Questions about V3 Deep Integration

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I eliminate code duplication when migrating agent architecture to agentic-flow?

A phased adapter migration eliminates code duplication by progressively replacing SwarmCoordinator, AgentManager, and TaskScheduler with agentic-flow components. This approach executes adapter creation, system migration, then explicit cleanup of deprecated duplicated modules to drop duplication below target thresholds.

What is an adapter layer for integrating Flash Attention and AgentDB coordination?

An adapter layer for Flash Attention and AgentDB coordination is an intermediary extension that routes task execution into agentic-flow@alpha while preserving legacy interface compatibility. It integrates targeted subsystems feature-by-feature to ensure capabilities match without redundant code paths.

How do I maintain backward compatibility while replacing SwarmCoordinator and TaskScheduler?

Maintain backward compatibility during SwarmCoordinator and TaskScheduler replacement by designing an adapter layer like ClaudeFlowAgent first. This intermediary routes tasks into agentic-flow@alpha execution while retaining legacy interfaces, then progressively migrates subsystems in feature-by-feature phases.

Does agentic-flow@alpha support MCP tool and hook registration with SONA learning modes?

Yes, agentic-flow@alpha supports MCP tool and hook registration alongside SONA learning modes through a targeted subsystem integration. The adapter layer integrates these capabilities feature-by-feature to ensure full feature parity without maintaining redundant code paths.

When should I use a phased migration approach for agent architecture code deduplication?

Use a phased migration approach for code deduplication when severe parallel re-implementation drift exists between agent architectures. Execute adapter creation first, system migration second, then deprecated module cleanup to progressively achieve subsystem parity and performance benchmark targets.

What are the limitations of using an adapter layer for AgentDB cross-agent memory coordination?

Adapter layer limitations for AgentDB cross-agent memory coordination include the requirement for explicit phased cleanup of deprecated duplicated modules post-migration. Without completing the final cleanup phase, redundant code paths persist, negating maintainability improvements and performance benchmark target achievements.