worker-benchmarks

Benchmark agentic-flow worker performance across six benchmark types.

Updated Mar 5, 2026
One-click install
npx skills add https://github.com/fabri07/Vektor --skill worker-benchmarks-fabri07
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: worker-benchmarks
Source: https://github.com/fabri07/Vektor/tree/main/.claude/skills/worker-benchmarks
Command: npx skills add https://github.com/fabri07/Vektor --skill worker-benchmarks-fabri07

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Benchmark performance and throughput for the agentic-flow worker system to surface latency bottlenecks and scalability limits.

Core Features & Use Cases

  • Comprehensive Benchmark Suite: Run all benchmarks (trigger-detection, registry, agent-selection, cache, concurrent, memory-keys) to assess performance across core worker subsystems.
  • Configurable Thresholds & Iterations: Define target p95 latency, iteration counts, and metrics per test to suit workloads.
  • Actionable Insights & Output Formats: Generates latency, throughput, histogram metrics, and a format for integration with CI.
  • Use Case: Use in CI or staging to detect regressions and verify performance budgets.

Quick Start

Run the full benchmark suite using your environment to measure all six benchmarks and identify regressions.

Frequently Asked Questions about worker-benchmarks

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

FAQPage Schema
How do I measure agentic-flow worker latency and throughput in a staging environment?

The benchmark suite measures agentic-flow worker latency and throughput by executing six benchmark types across trigger-detection, registry, agent-selection, cache, concurrent, and memory-keys subsystems to surface latency bottlenecks and scalability limits.

Can I set configurable latency thresholds and iteration counts for performance benchmarks?

Yes, you can define configurable target p95 latency limits, iteration counts, and specific metrics per benchmark test to suit your expected workloads and verify performance budgets.

How do I integrate worker performance benchmarking into CI to detect regressions?

You integrate worker performance benchmarking into CI by running the benchmark suite via npx agentic-flow workers benchmark, which generates latency, throughput, and histogram metrics in output formats designed for CI integration and regression detection.

What is the best way to identify scalability limits in agentic worker systems?

The best way to identify scalability limits is running concurrent and memory-keys benchmarks that evaluate throughput across defined iterations, generating histogram metrics to highlight where the worker system fails to scale.

Do I need external dependencies to run agentic-flow worker benchmarks?

No external dependencies are required to run agentic-flow worker benchmarks; the suite operates independently via the npx agentic-flow workers benchmark command to evaluate all six core worker subsystems.