Agent skill · software engineering · proffesor-for-testing
V3 Deep Integration
Deep agentic-flow@alpha integration implementing ADR-001. Eliminates 10,000+ duplicate lines by building claude-flow as specialized extension rather than parallel implementation.
Why this skill is useful
Adds multiple executable scripts for deep integration and migration of agentic-flow@alpha, significantly enhancing the AI's capabilities.
What it needs
Requires typescript installed locally. About 3k tokens when loaded. Last updated 2026-08-06. 434 stars on the source repository.
What this skill does
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 Code Deduplication Strategy Current Overlap → Integration agentic-flow@alpha Feature Integration SONA Learning Modes Flash Attention Integration AgentDB Coordination MCP Tools Integration Migration Implementation Phase 1: Adapter Layer Phase 2: System Migration Phase 3: Cleanup RL Algorithm Integration Performance Integration Flash Attention Targets AgentDB Search Performance Backward Compatibility Gradual Migration 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
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills proffesor-for-testing/v3-integration-deep