# NetLogo

> Use this tool when you need to create, execute, and analyze agent-based models programmatically, solving problems in complex system simulation and data analysis. It connects to NetLogo's headless JVM, accepting model parameters and simulation settings as inputs and producing data collections and PNG snapshots as outputs. Ideal for use cases requiring automated simulation runs, parameter sweeps, and model analysis, particularly in fields like social science, biology, and economics.

Canonical page: https://skillsregistry.net/skills/razee4315-netlogo  
JSON: https://api.skillsregistry.net/v1/skills/razee4315-netlogo

## Description

Connects to NetLogo's headless JVM to enable programmatic creation, execution, and analysis of agent-based models. Provides tools for writing NetLogo procedures, running simulations with data collection, controlling parameters like sliders and switches, and exporting world views as PNG snapshots. Includes built-in references for NetLogo primitives and a programming guide, along with prompt templates for model analysis, ABM creation, and parameter sweeps. Requires a local NetLogo 7.0+ installation and Java JDK 11+.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/razee4315-netlogo)
- **Repository:** <https://github.com/razee4315/netlogo-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "razee4315-netlogo"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/razee4315-netlogo` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/razee4315-netlogo/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt