skills.rest
EarthmanWeb
EarthmanWebCOMMUNITY
Explore all skills by this author →
WebsiteGitHub

worker-benchmarks

Benchmark agentic-flow worker system latency, throughput and memory usage across operations.

2|Updated Jan 25, 2026
Search Tags:#testing#performance#optimization#metrics#benchmark#worker
One-click install
npx skills add https://github.com/EarthmanWeb/claude-flow-plugin --skill worker-benchmarks-earthmanweb
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: worker-benchmarks
Source: https://github.com/EarthmanWeb/claude-flow-plugin/tree/main/.claude/skills/worker-benchmarks
Command: npx skills add https://github.com/EarthmanWeb/claude-flow-plugin --skill worker-benchmarks-earthmanweb

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill addresses the need to ensure the efficiency and reliability of the agentic-flow worker system by providing tools for comprehensive performance testing and analysis.

Core Features & Use Cases

  • System Benchmarking: Run a suite of tests to measure the performance of various worker components.
  • Performance Metrics: Collect detailed metrics like latency, throughput, and memory usage.
  • Optimization Insights: Identify bottlenecks and receive recommendations for performance improvements.
  • Use Case: A developer can use this skill to verify that recent code changes have not negatively impacted the worker's response times or resource consumption.

Quick Start

Execute the full benchmark suite for the worker system.

Frequently Asked Questions about worker-benchmarks

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I run performance benchmarks on an agentic-flow worker system?▼

You can run performance benchmarks by executing the full test suite to measure latency, throughput, and memory usage across worker operations like trigger detection and agent selection.

What metrics are collected during worker performance testing?▼

Performance testing collects detailed metrics including latency, throughput, and memory usage to evaluate the efficiency and reliability of worker components.

How do I identify bottlenecks and optimize worker components?▼

To identify bottlenecks, analyze the collected performance metrics which provide actionable optimization recommendations for worker components like registry operations.

Can I verify that recent code changes have not negatively impacted worker response times?▼

Yes, you can verify code changes by running the benchmark suite to check if recent modifications have negatively impacted the worker's response times or resource consumption.

Does the benchmarking process require external dependencies?▼

No, the benchmarking process relies solely on internal scripts and references, requiring no external dependencies to measure system performance and generate optimization insights.

Related Skills

Explore More Software Engineering Skills→
LGuguiLGugui

worker-benchmarks

Benchmark agentic-flow worker performance across trigger detection, registry operations, and agent selection.

Community
Advanced
drvossdrvoss
42

performance-optimization

Identify performance bottlenecks and validate improvements through measurement-driven optimization.

Community
Advanced
hoangnh2412hoangnh2412
12

gc-memory

Interpret .NET runtime GC and memory metrics to diagnose memory pressure and leaks.

Community
Intermediate
dejavoo21dejavoo21

worker-benchmarks

Benchmark worker system performance across detection, registry, selection, caching, and concurrency workloads.

Community
Advanced