V3 Performance Optimization

This is a performance engineering workflow for claude-flow v3 that sets up benchmark tasks and validation targets. You'd use it if you're working with the claude-flow framework and need to verify the v3 upgrade actually delivers on its performance claims: 2.49x to 7.47x speedup from Flash Attention, 150x to 12,500x faster search via HNSW indexing, and 50-75% memory reduction. It's basically a test harness that runs parallel validation tasks against specific optimization targets. The approach is solid if you're methodical about performance work, though you'll need the underlying claude-flow system already in place to make any of this meaningful.

GitHub stars: 67.2K
last updated: Aug 21, 2026

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Install

$ npx -y skills add ruvnet/ruflo --skill 'V3 Performance Optimization' --agent claude-code

Installs into .claude/skills of the current project.

Files

V3 Performance Optimization

What This Skill Does

Validates and optimizes claude-flow v3 to achieve industry-leading performance through Flash Attention, AgentDB HNSW indexing, and comprehensive system optimization with continuous benchmarking.

Quick Start

# Initialize performance optimization
Task("Performance baseline", "Establish v2 performance benchmarks", "v3-performance-engineer")

# Target validation (parallel)
Task("Flash Attention", "Validate 2.49x-7.47x speedup target", "v3-performance-engineer")
Task("Search optimization", "Validate 150x-12,500x search improvement", "v3-performance-engineer")
Task("Memory optimization", "Achieve 50-75% memory reduction", "v3-performance-engineer")

Performance Target Matrix

Flash Attention Revolution

┌─────────────────────────────────────────┐
│           FLASH ATTENTION               │
├─────────────────────────────────────────┤
│  Baseline: Standard attention           │
│  Target:   2.49x - 7.47x speedup       │
│  Memory:   50-75% reduction             │
│  Latency:  Sub-millisecond processing   │
└─────────────────────────────────────────┘

SKILL.md on GitHub