Does it support multi-agent coordination testing?

Yes, it includes a dedicated Swarm Benchmarking suite that measures coordination latency, task decomposition, and consensus efficiency for up to 15-agent swarms.

What performance gains can I expect for vector search?

By implementing AgentDB HNSW indexing, this skill can improve search performance from standard linear search by 150x up to 12,500x, depending on the dataset size.

What is the target startup time for this skill?

The V3 Performance Engineer is designed to ensure a cold-start time of less than 500ms for CLI and MCP server environments.

How does this skill handle memory usage?

It targets a 50-75% reduction in memory usage through specialized compression, optimized data loading, and Flash Attention mechanisms.

How does the regression detection work?

The skill runs automated benchmarks against a baseline and flags any performance drop greater than 5% as a regression, providing immediate recommendations for fixes.

V3 Performance Engineer

Name: V3 Performance Engineer
Author: nbossn

bynbossn

0•

分析与监控

Optimizes system performance and validates aggressive speed and memory targets through advanced benchmarking and architectural improvements.

The V3 Performance Engineer skill is an advanced optimization specialist designed to push the boundaries of agentic performance within Claude Code environments. It focuses on achieving massive speedups in Flash Attention and vector search while drastically reducing memory overhead and startup times to sub-500ms levels. By providing a comprehensive benchmarking suite for everything from swarm coordination to SONA learning adaptation, this skill allows developers to validate performance metrics in real-time and maintain industry-leading efficiency across complex AI workflows.

主要功能

01Real-time performance monitoring dashboard with regression detection

020 GitHub stars

03Ultra-low latency SONA learning adaptation at sub-0.05ms

04Flash Attention optimization achieving up to 7.47x speedup

05Search performance revolution via HNSW indexing for 12,500x improvements

06Comprehensive benchmarking suite for startup, memory, and swarm latency

使用场景

01Reducing memory footprints and cold-start times for CLI-based AI applications

02Validating aggressive performance targets for production-grade vector databases

03Optimizing high-scale agent swarms for parallel task execution and consensus

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add nbossn/claude-code-base agent-v3-performance-engineer

For use in Claude.ai and ChatGPT

主要功能

01Real-time performance monitoring dashboard with regression detection

020 GitHub stars

03Ultra-low latency SONA learning adaptation at sub-0.05ms

04Flash Attention optimization achieving up to 7.47x speedup

05Search performance revolution via HNSW indexing for 12,500x improvements

06Comprehensive benchmarking suite for startup, memory, and swarm latency

使用场景

01Reducing memory footprints and cold-start times for CLI-based AI applications

02Validating aggressive performance targets for production-grade vector databases

03Optimizing high-scale agent swarms for parallel task execution and consensus

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add nbossn/claude-code-base agent-v3-performance-engineer

For use in Claude.ai and ChatGPT