create-simulation

Create and orchestrate simulation test suites for Synthflow AI agents.

Updated Mar 23, 2026
One-click install
npx skills add https://github.com/SynthFlowAI/synthflow-skills --skill create-simulation
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: create-simulation
Source: https://github.com/SynthFlowAI/synthflow-skills/tree/main/create-simulation
Command: npx skills add https://github.com/SynthFlowAI/synthflow-skills --skill create-simulation

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Synthflow simulation skills streamline the creation, execution, and evaluation of agent-driven test scenarios. They allow you to define suites, compose cases with prompts and success criteria, and run simulations to gather results without real deployments.

Core Features & Use Cases

  • Suite management: Create, update, and organize simulation suites tied to a specific agent model.
  • Case definition: Add test cases with prompts, success criteria, and run configurations to validate agent behavior.
  • Execution & results: Run simulations and retrieve structured results to analyze performance and coverage.

Quick Start

Create a simulation suite for your agent model and execute it to generate initial results.

Frequently Asked Questions about create-simulation

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

FAQPage Schema
How do I create agent simulations to test API behavior?

Agent simulations are created by building a simulation suite tied to your agent model, defining test cases with prompts and success criteria, then running the suite to collect structured results. This process validates agent behavior without real deployments.

What do I need to run simulation test suites for AI agents?

Running simulation test suites requires an active Synthflow API key and internet access. You use these to orchestrate the simulation environment, execute the defined test cases, and retrieve performance results for evaluation.

Can I organize multiple agent test cases into a single suite?

Yes, suite management allows you to create, update, and organize multiple simulation cases within a single suite. Each suite is tied to a specific agent model and contains cases with defined prompts and success criteria.

How do I evaluate AI agent performance without real deployments?

You evaluate AI agent performance by defining cases with specific prompts and run configurations, then executing a simulation. The simulation gathers structured results based on your success criteria to analyze agent behavior and coverage.

What is the best way to define success criteria for agent test cases?

The best way to define success criteria is during case definition, where you specify prompts and run configurations for each test case. These criteria are then used to evaluate the structured results gathered after running the simulation.

Are there limitations to running agent simulations with this orchestration approach?

A key limitation is the strict requirement for an active Synthflow API key and continuous internet access to run simulations. Additionally, simulations evaluate behavior without real deployments, meaning production environment variables may differ.