V3 Performance Engineer

Skill Verified Active

Agent skill for v3-performance-engineer - invoke with $agent-v3-performance-engineer

Purpose

To achieve and validate industry-leading performance improvements for Claude Flow v3 by focusing on Flash Attention, AgentDB optimization, and comprehensive system benchmarking.

Features

Validates aggressive performance targets
Optimizes Claude Flow v3 components
Performs comprehensive benchmarking
Stores performance patterns
Checks for necessary tools like npm and node

Use Cases

When needing to achieve aggressive performance targets for Claude Flow v3
To validate improvements in Flash Attention speedup
To benchmark and optimize AgentDB search performance
To monitor and reduce memory usage and startup times

Non-Goals

General code refactoring or debugging
Functional testing of agent logic
User-facing command execution outside of performance validation

Workflow

Start V3 Performance Engineer optimization mission.
Check for necessary tools (npm, node).
Validate aggressive performance targets (Flash Attention, AgentDB Search, Memory Usage, Startup Time, SONA Learning).
Store performance patterns using agentic-flow.

Installation

npx skills add ruvnet/ruflo

Runs the Vercel skills CLI (skills.sh) via npx — needs Node.js locally and at least one installed skills-compatible agent (Claude Code, Cursor, Codex, …). Assumes the repo follows the agentskills.io format.

Quality Score

Verified

99 /100

Analyzed about 14 hours ago

Trust Signals

Last commitabout 15 hours ago

GitHub owner ruvnet

Stars50.2k

Downloads 68.3k

LicenseMIT

Websitecognitum.one

Status

View Source

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