Does this skill support existing Claude Flow tools?

Yes, it provides a migration path for 100% feature parity and integrates 213 pre-built MCP tools and 19 hook types.

Is backward compatibility maintained during migration?

Yes, the skill implements a three-phase migration strategy featuring an adapter layer and dual-operation support to ensure system stability.

What is SONA adaptation?

SONA provides five learning modes for agents, ranging from real-time adaptation (approx. 0.05ms) to deep research exploration.

How much faster is the search with AgentDB?

By utilizing HNSW indexing via agentic-flow@alpha, search speeds are improved by 150x to 12,500x compared to standard linear search systems.

What is the primary benefit of V3 Deep Integration?

It reduces code duplication by over 10,000 lines while significantly increasing performance through Flash Attention and AgentDB integration.

V3 Deep Integration for Claude Flow

Name: V3 Deep Integration for Claude Flow
Author: EarthmanWeb

byEarthmanWeb

•

데이터 과학 및 ML

Optimizes agent orchestration by integrating agentic-flow@alpha to reduce code redundancy and boost performance via Flash Attention and AgentDB.

This skill facilitates the deep architectural integration of Claude Flow with the agentic-flow@alpha framework to eliminate over 10,000 lines of duplicate code while introducing advanced agentic capabilities. It enables developers to leverage high-performance features like SONA real-time adaptation, Flash Attention for speed optimization, and AgentDB for lightning-fast cross-agent memory sharing. Ideal for enterprise-grade multi-agent swarms, it provides a structured migration path that maintains backward compatibility while significantly reducing memory footprint and improving search speeds across distributed autonomous workflows.

주요 기능

01Flash Attention Optimization (2.49x-7.47x speedup)

02Code Deduplication (reduces core logic from 15k to <5k lines)

03Native MCP Tool & Hook Support (213 tools, 19 hook types)

042 GitHub stars

05SONA Learning Mode Integration (real-time to research modes)

06AgentDB High-Speed Search (150x-12,500x faster indexing)

사용 사례

01Optimizing resource-constrained edge deployments using 50-75% memory reduction techniques.

02Implementing low-latency, cross-agent memory systems for complex multi-agent swarms using HNSW indexing.

03Migrating legacy Claude Flow implementations to a streamlined, high-performance agentic architecture.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add earthmanweb/claude-flow-plugin v3-integration-deep

For use in Claude.ai and ChatGPT

주요 기능

01Flash Attention Optimization (2.49x-7.47x speedup)

02Code Deduplication (reduces core logic from 15k to <5k lines)

03Native MCP Tool & Hook Support (213 tools, 19 hook types)

042 GitHub stars

05SONA Learning Mode Integration (real-time to research modes)

06AgentDB High-Speed Search (150x-12,500x faster indexing)

사용 사례

01Optimizing resource-constrained edge deployments using 50-75% memory reduction techniques.

02Implementing low-latency, cross-agent memory systems for complex multi-agent swarms using HNSW indexing.

03Migrating legacy Claude Flow implementations to a streamlined, high-performance agentic architecture.