skills.rest
derbalimajd04-dot
derbalimajd04-dotCOMMUNITY
Explore all skills by this author →
GitHub

V3 Deep Integration

Migrates Codex-flow onto agentic-flow@alpha adapters to eliminate duplicate orchestration code.

Updated Feb 17, 2026
Search Tags:#typescript#migration#agent orchestration#agentic-flow#adapter pattern#code deduplication#flash attention
One-click install
npx skills add https://github.com/derbalimajd04-dot/al-wasat --skill v3-deep-integration-derbalimajd04-dot
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: V3 Deep Integration
Source: https://github.com/derbalimajd04-dot/al-wasat/tree/main/.agents/skills/v3-integration-deep
Command: npx skills add https://github.com/derbalimajd04-dot/al-wasat --skill v3-deep-integration-derbalimajd04-dot

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires agentic-flow.

What problem does it solve? Codex-flow duplicates thousands of lines of orchestration logic that already exists in agentic-flow@alpha, creating maintenance burden and missing upstream performance gains. This Skill restructures Codex-flow as a specialized extension layer, removing over 10,000 duplicate lines while preserving feature parity. ## Core Features & Use Cases - Adapter Layer Migration: Replaces SwarmCoordinator, AgentManager, and TaskScheduler with agentic-flow@alpha equivalents through a phased adapter pattern. - Feature Integration: Integrates SONA learning modes, Flash Attention (2.49x-7.47x speedup), AgentDB HNSW search (150x-12,500x), and 213 MCP tools with 19 hook types. - Backward Compatibility: Supports dual-operation, feature-by-feature migration, and parity validation before deprecating legacy systems. - Use Case: A team maintaining a forked agent orchestration codebase uses this Skill to plan and execute a three-phase migration that cuts orchestration code from 15,000+ lines to under 5,000. ## Quick Start Ask the agent to design the agentic-flow@alpha adapter layer and plan the phased migration of swarm coordination, agent management, and task execution.

Frequently Asked Questions about V3 Deep Integration

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

FAQPage Schema
How do I migrate Codex-flow to agentic-flow@alpha?▼

Migrate in three phases: build an adapter layer extending agentic-flow Agent classes, migrate systems one by one (swarm, agent management, task execution), then remove deprecated files. Run dual operation with state sync to maintain backward compatibility during transition.

How to integrate Flash Attention into an agent orchestration system?▼

Call the agentic-flow attention module's flashAttention method with a speedup target of 2.49x-7.47x and 50-75% memory reduction. It supports multi-head, linear, local, and global attention mechanisms.

What SONA learning modes does agentic-flow support?▼

SONA provides five modes: real-time (~0.05ms adaptation), balanced for general use, research for deep exploration, edge for resource-constrained environments, and batch for high-throughput workloads. Set the mode through the agentic-flow SONA interface.

Does the migration preserve backward compatibility with v2?▼

Yes, the migration uses a legacy compatibility layer in the adapter class and a three-stage process: dual operation with state sync, feature-by-feature migration with parity validation, then full transition. The target is 100% v2 functionality maintained.

How much code reduction does the agentic-flow integration achieve?▼

The integration removes over 10,000 duplicate lines by deleting SwarmCoordinator (800+ lines), AgentManager (1,736+ lines), and TaskScheduler (500+ lines). The target is under 5,000 lines of orchestration code versus 15,000+ currently.

Related Skills

Explore More Software Engineering Skills→
JacobJ215JacobJ215

V3 Deep Integration

Consolidate Codex-flow into a specialized agentic-flow@alpha extension.

Community
Advanced
ruvnetruvnet
70.1k

agent-v3-performance-engineer

Benchmarks and validates performance targets for Flash Attention, HNSW search, and agent coordination.

Community
Advanced
JLMA-Agentic-AiJLMA-Agentic-Ai

V3 Memory Unification

Consolidate SQLite and Markdown memory backends into AgentDB with HNSW vector search.

Community
Advanced
TurgunoffTurgunoff

V3 Deep Integration

Migrates Codex-flow onto agentic-flow@alpha adapters to eliminate duplicate orchestration code.

Community
Advanced