How does it handle result aggregation?

It uses a dedicated Aggregator component that merges results from all three scenarios into a single report, extracting patterns and identifying where quality may drop as complexity increases.

What are the three default difficulty levels?

The skill defaults to three levels: Simple (1x complexity), Medium (3x complexity), and Complex (8x complexity) with corresponding increases in input size and time budgets.

Can I use this for real-time demonstrations?

Yes, the Free-running synchronization mode is specifically optimized for creating compelling demo videos of parallel AI execution without artificial delays.

What is the benefit of milestone synchronization?

Milestones (e.g., at 30%, 70%, and 100%) allow the orchestrator to pause and compare scenarios at specific progress points, ensuring comparative analysis is consistent and synchronized.

Does this work with LangGraph?

Absolutely, it is designed to leverage LangGraph's StateGraph for managing state across fanned-out parallel branches and aggregating results.

Multi-Scenario Orchestrator

Name: Multi-Scenario Orchestrator
Author: yonatangross

byyonatangross

•

安全与测试

Orchestrates a single skill across three parallel scenarios with synchronized state and progressive difficulty to validate performance and scalability.

This skill provides a sophisticated design pattern for running a specific capability through three distinct execution paths—simple, medium, and complex—simultaneously. By leveraging a centralized coordinator and state manager, it synchronizes execution milestones and aggregates comparative metrics, making it an essential tool for performance benchmarking, stress testing, and creating comprehensive technical demonstrations that showcase how a solution scales with complexity. It is particularly effective for developers needing to prove that their AI workflows remain robust as input size and logic requirements increase exponentially.

主要功能

01Flexible synchronization modes including free-running and lock-step execution

02Exponential difficulty scaling (1x, 3x, 8x) for robust stress testing

03Cross-scenario synthesis and comparative performance reporting

04Parallel execution of three difficulty-tiered scenarios (Simple, Medium, Complex)

0569 GitHub stars

06Synchronized state management with milestone-based checkpoints

使用场景

01Creating progressive technical tutorials that demonstrate skill mastery from beginner to advanced

02Validating system stability and quality consistency under different input sizes and time budgets

03Benchmarking an AI agent's performance across varying code complexity levels

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add yonatangross/orchestkit multi-scenario-orchestration

For use in Claude.ai and ChatGPT

Download Skill