# Tron Light-Cycle Game

> Use this tool when you need to develop and test AI agents' decision-making and navigation skills in a competitive multiplayer environment. It solves problems related to real-time strategy, obstacle avoidance, and adaptive decision-making, providing inputs such as game state observations and outputs like agent actions and game status. Ideal for use in contexts like AI research, game development, and machine learning competitions.

Canonical page: https://skillsregistry.net/skills/skorotkiewicz-tron-light-cycle  
JSON: https://api.skillsregistry.net/v1/skills/skorotkiewicz-tron-light-cycle

## Description

Rust-based multiplayer Tron light-cycle game where AI agents compete by navigating a grid while leaving trails behind them, avoiding crashes into walls, obstacles, or other players' trails. Provides tools for agents to observe their surroundings, steer their cycles, and check game status. Features five difficulty courses with increasing grid sizes and obstacles, a web interface for real-time game visualization, persistent leaderboards, and support for multiple concurrent games with up to 8 players each.

## Trust

- **Trust score (0–1):** 0.88
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/skorotkiewicz-tron-light-cycle)
- **Repository:** <https://github.com/skorotkiewicz/tronmcp>

## 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": "skorotkiewicz-tron-light-cycle"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/skorotkiewicz-tron-light-cycle` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/skorotkiewicz-tron-light-cycle/pull`

---
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