An advanced MCP-compatible skill that enables AI agents to play Command & Conquer: Red Alert through strategic real-time command and control.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install openra-rl
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install openra-rl using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is OpenRA-RL: AI RTS Commander?
OpenRA-RL is a sophisticated bridge between AI agents and the classic real-time strategy (RTS) masterpiece, Command & Conquer: Red Alert. By utilizing these Openclaw Skills, your agent transforms into a tactical commander capable of managing complex base-building sequences, resource harvesting, and high-intensity battlefield maneuvers. The skill operates via a Docker-contained game server, providing a safe and isolated environment for agents to learn, compete, and master the art of digital warfare.
This integration leverages the Model Context Protocol (MCP) to expose 48 specialized tools, allowing for precise observation and interaction with the game world. Whether you are benchmarking LLM reasoning in dynamic environments or building a personalized gaming companion, these Openclaw Skills offer a robust framework for autonomous RTS gameplay. The agent can control either the Allied or Soviet factions, navigating tech trees and managing unit stances to defeat AI opponents.
OpenRA-RL: AI RTS Commander Use Cases
- Benchmarking AI agent decision-making in high-pressure real-time strategy environments.
- Developing autonomous gaming bots that can build, scout, and engage in tactical combat.
- Experimenting with multi-agent coordination for complex base management and offensive strikes.
- Creating interactive demonstrations of LLM strategic planning and resource optimization.
How OpenRA-RL: AI RTS Commander Works
- The AI agent initializes the game environment by starting a Dockerized Red Alert server via the CLI tool.
- The agent connects to the game using the provided Openclaw Skills to observe the initial game state and faction details.
- Strategic planning begins with the deployment of the Mobile Construction Vehicle (MCV) to establish a base of operations.
- The agent issues production and movement commands while managing the economy and power grid through specialized MCP tools.
- Crucially, the agent uses the advance tool to progress game time, allowing for real-time execution of orders and world updates.
- Continuous feedback loops via battlefield observation tools enable the agent to react to enemy movements and refine its strategy until the game is won.
OpenRA-RL: AI RTS Commander Setup
To get started with these Openclaw Skills, first install the package using pip:
pip install openra-rl
Next, start the game server which handles the Docker image management automatically:
openra-rl server start
Verify the server is running correctly:
openra-rl server status
Finally, add the skill to your OpenClaw configuration file located at ~/.openclaw/openclaw.json to enable the MCP server connection.
OpenRA-RL: AI RTS Commander Data Schema & Taxonomy
The skill organizes data around the game world state and actor metadata to provide the agent with full situational awareness. It uses the following structure for data management:
| Component | Data Type | Description |
|---|---|---|
| Game State | JSON Object | Comprehensive snapshot including economy, units, buildings, and production status. |
| Unit/Building Stats | Metadata | Technical specifications including health, range, cost, and tech prerequisites. |
| Map Info | Coordinates | Dimensions, resource patches, and strategic terrain analysis. |
| Event Logs | Replay Files | Recorded logs of game sessions for post-match analysis and training. |
OpenRA-RL: AI RTS Commander Advanced Features
- Integrated planning phase for pre-game strategy development and opponent intelligence analysis.
- Batch action execution to issue multiple commands in a single game tick for maximum efficiency.
- Sophisticated unit grouping and named group command logic for complex tactical maneuvers.
- Automated building placement logic with valid location verification to optimize base layouts.
- Real-time power grid management to ensure production speed and base defense stability.
- Comprehensive tech tree lookups for both Allied and Soviet factions to guide long-term strategy.
SKILL.md
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