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.