worker-benchmarks

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

Updated Aug 13, 2025
One-click install
npx skills add https://github.com/JoeyJoziah/investment-analysis-platform --skill worker-benchmarks-joeyjoziah
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: worker-benchmarks
Source: https://github.com/JoeyJoziah/investment-analysis-platform/tree/main/.claude/v3/%40claude-flow/cli/.claude/skills/worker-benchmarks
Command: npx skills add https://github.com/JoeyJoziah/investment-analysis-platform --skill worker-benchmarks-joeyjoziah

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It removes the guesswork from evaluating worker system performance by measuring latency, throughput, and memory behavior across core operations.

Core Features & Use Cases

  • Comprehensive Benchmarking: Tests trigger detection, worker registry CRUD, agent selection, model cache performance, concurrent worker handling, and memory key generation.
  • Performance Analysis: Reports averages, p95 targets, throughput, memory deltas, and pass/fail results for each benchmark type.
  • Optimization Guidance: Helps identify bottlenecks and tune worker system settings for faster, more reliable agentic-flow execution.

Quick Start

Run the full worker benchmark suite and summarize the results for the agentic-flow worker system.

Frequently Asked Questions about worker-benchmarks

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

FAQPage Schema
What is worker benchmarking and when do I need to measure agentic-flow performance?

Worker benchmarking measures latency, throughput, and memory behavior across core operations. You need it to validate p95 latency targets and identify bottlenecks when tuning agentic-flow execution for faster, more reliable worker workflows.

How do I benchmark worker system latency and identify performance bottlenecks?

Run the full benchmark suite to test trigger detection, registry CRUD, agent selection, cache behavior, and concurrent workers. It reports averages, p95 targets, memory deltas, and pass/fail results to pinpoint specific latency bottlenecks.

Does worker benchmarking evaluate memory usage and concurrent worker handling?

Yes, worker benchmarking evaluates memory key generation, memory deltas, and concurrent worker handling. It measures how your system manages memory and scales under concurrent operations to ensure reliable agentic-flow execution.

What is the best way to validate p95 latency targets for worker registry operations?

Benchmarking worker registry CRUD operations is the best way to validate p95 latency targets. It tests registry performance directly, providing pass/fail results and optimization recommendations to tune your worker system settings.

Can I get optimization recommendations after benchmarking my worker workflows?

Yes, after benchmarking your worker workflows, you receive optimization recommendations. These guide you in tuning worker system settings to resolve identified latency bottlenecks and improve overall throughput.