swarm-simulator

Coordinate parallel multi-agent swarms with independent subagents to model emergent outcomes.

6|1|Updated Feb 26, 2026

Search Tags:#multi-agent #dashboard #claude-code #parallel-execution #emergent-behavior #swarm-simulation

Ready to run

npx skills add https://github.com/Clemens865/My-Claude-Skills --skill swarm-simulator

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: swarm-simulator
Source: https://github.com/Clemens865/My-Claude-Skills/tree/main/skills/swarm-simulator
Command: npx skills add https://github.com/Clemens865/My-Claude-Skills --skill swarm-simulator

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Real-time, realistic exploration of emergent behaviors by running multiple independent subagents in parallel to simulate complex scenario dynamics for better decision support.

Core Features & Use Cases

Real independent subagents per population enabling emergent behavior across 3-5 populations
Parallel research agents and 5-round simulation with a live HTML dashboard
Persistent JSON state for reproducibility and post-hoc analysis

Quick Start

Provide a scenario description to begin a parallel swarm simulation and view the resulting dashboard.

Frequently Asked Questions about swarm-simulator

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

FAQPage Schema

How do I simulate emergent behavior using parallel multi-agent swarms?▼

Simulating emergent behavior with parallel multi-agent swarms requires running independent subagents per population across 3-5 groups. The swarm simulator coordinates these agents through a 5-round simulation process to model complex scenario dynamics and generate a live HTML dashboard for visualization.

Can I use Claude Code subagents for scenario planning and market simulations?▼

Yes, Claude Code subagents can be used for scenario planning and market simulations. The swarm simulator deploys independent research agents in parallel to model emergent outcomes, making it suitable for testing policy impacts and analyzing behavioral dynamics in complex market environments.

What is the best way to visualize multi-agent simulation results in a dashboard?▼

Visualizing multi-agent simulation results is best handled by generating a self-contained HTML dashboard. The swarm simulator automatically creates this dashboard output after completing its parallel research and 5-round simulation process, allowing you to explore emergent outcomes interactively.

Does the swarm simulator maintain persistent state for post-hoc analysis?▼

Yes, the swarm simulator maintains a persistent JSON state at /tmp/swarm-state.json. This ensures reproducibility and enables post-hoc analysis of the emergent dynamics generated during the parallel multi-agent simulation rounds.

How many populations can I model for emergent dynamics in scenario testing?▼

You can model emergent dynamics across 3-5 populations for scenario testing. Each population gets an independent subagent, allowing the parallel swarm simulation to capture emergent outcomes and behavioral analysis for policy testing and complex scenario planning.