V3 Performance Optimization

This is a comprehensive benchmarking and optimization framework targeting some seriously aggressive performance goals for claude-flow v3. You get automated benchmarks across startup time, memory operations, Flash Attention implementation, and 15-agent swarm coordination. The targets are ambitious: 2.49x to 7.47x speedup through Flash Attention, 150x to 12,500x search improvements via HNSW indexing, and 50-75% memory reduction. The benchmark suite is well-structured with concrete test cases for cold starts, vector search comparisons, and multi-agent coordination latency. Use this if you're validating v3 performance claims or need a baseline to prove your optimizations actually work. The code shows proper benchmark methodology with before/after comparisons and clear success criteria.

GitHub stars: 240
last updated: Jun 11, 2026

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Install

$ npx -y skills add spencermarx/open-code-review --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