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worker-benchmarks

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

Updated Jun 5, 2026
Search Tags:#benchmarking#performance metrics#performance analysis#agentic-flow#worker system
One-click install
npx skills add https://github.com/LGugui/cerebro-template --skill worker-benchmarks-lgugui
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: worker-benchmarks
Source: https://github.com/LGugui/cerebro-template/tree/main/.claude/skills/worker-benchmarks
Command: npx skills add https://github.com/LGugui/cerebro-template --skill worker-benchmarks-lgugui

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill provides detailed performance analysis and benchmarking for the agentic-flow worker system, ensuring optimal system health and efficiency.

Core Features & Use Cases

  • Comprehensive Benchmarking: Perform a suite of benchmarks to evaluate various aspects of the worker system.
  • Targeted Benchmarking: Run specific benchmarks like trigger detection, registry operations, and agent selection.
  • Performance Metrics: Gain insights into latency, throughput, cache hit rates, and memory usage.
  • Use Case: Regularly run these benchmarks to validate system performance and troubleshoot any issues.

Quick Start

Run the full benchmark suite by executing the command: npx agentic-flow workers benchmark

Frequently Asked Questions about worker-benchmarks

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

FAQPage Schema
How do I benchmark the performance of my agentic-flow worker system?▼

You can benchmark the agentic-flow worker system by running `npx agentic-flow workers benchmark`, which evaluates trigger detection, registry operations, agent selection, and memory key generation to provide comprehensive performance metrics.

What performance metrics can I analyze for my worker system?▼

Performance analysis of the worker system provides insights into latency, throughput, cache hit rates, and memory usage, enabling precise evaluation of system health and operational efficiency.

Can I run targeted benchmarks for specific worker operations like trigger detection?▼

Yes, targeted benchmarking allows you to evaluate specific aspects of the worker system such as trigger detection, registry operations, and agent selection individually to isolate performance bottlenecks.

Do I need any specific environment setup to evaluate worker system efficiency?▼

Benchmarking the worker system requires appropriate environment setup and tools configured to accurately assess concurrent worker handling, model caching, and memory key generation operations.

When should I run performance analysis on my agentic-flow workers?▼

You should run performance analysis regularly to validate system health, troubleshoot operational issues, and ensure optimal efficiency of your agentic-flow worker system under concurrent worker loads.

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