Chalk Labs
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/sai141003-unity
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About
Use cases: agent-building
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/unity
What's inside
- Skill name
unity- Description
- Unity game development via MCP + skills. Use for AI-driven Unity Editor automation.
- License
- MIT
- Metadata
- trigger: command · category: gamedev
- Instructions
- 209 lines in SKILL.md · view on GitHub
Before installing
- Instructions read files in your home folder (~/.ssh, ~/.aws…)
Files (1)
- SKILL.md
SKILL.md (first lines)
# Unity
AI-driven Unity Editor automation through the Unity MCP server. Enables
script generation, asset management, scene manipulation, and play-mode testing
from any MCP-capable agent (ox, Claude, Kilo).
## Installation
### Prerequisites
- Unity Hub + Unity Editor (2021.3 LTS or newer)
- Node.js >= 18
- ox agent with MCP support
### Step 1 — Install the Unity MCP server
```bash
# Via npm
npm install -g @ox-mcp/unity-mcp
# Or via npx (no global install needed)
# The server will be fetched on first run
```
### Step 2 — Enable Unity Editor integration
1. Open Unity Hub → Installs → select your Unity version
2. In Unity Editor, open the project you want to automate
3. Install the Unity MCP package:
```bash
# From your Unity project root
openupm add com.ox.mcp.unity
```
Or via Unity Package Manager → Add package from git URL:
```
https://github.com/ox-platform/unity-mcp.git
```
### Step 3 — Configure MCP in ox
Add to `~/.config/ox/mcp.json`:
```json
{
"mcpServers": {
"unity": {
"command": "npx",
"args": ["@ox-mcp/unity-mcp"],
"env": {
"UNITY_PROJECT_PATH": "/path/to/your/unity/project",
"UNITY_EDITOR_PATH": "/Applications/Unity/Hub/Editor/2022.3.5f1/Unity.app/Contents/MacOS/Unity",
"UNITY_MCP_PORT": "8090"
}
}
}
}
```
### Step 4 — Connect the Unity Editor
In the Unity Editor, open the **MCP Bridge** window (Window → Analysis → MCP Bridge)
and click **Connect**. Or run from the Unity console:
```csharp
MCPBridge.Connect("localhost", 8090);
```
### Step 5 — Verify
```bash
ox mcp list
# unity — registered, connected to Editor
```
## Available Tools
| Tool | Description |
|---|---|
| `unity_create_script(name, className, template?)` | Create a C# MonoBehaviour script |
| `unity_edit_script(path, changes)` | Edit an existing script |
| `unity_list_scenes()` | List all scenes in the project |
| `unity_load_scene(name)` | Load a scene into the editor |
| `unity_create_object(type, name, parent?)` | Create a GameObject in the scene |
| `unity_find_objects(query)` | Find GameObjects by name, tag, or type |
| `unity_get_component(go, type)` | Read component properties |
| `unity_set_component(go, type, props)` | Modify component properties |
| `unity_build_player(outputPath, platform?)` | Build the project |
| `unity_play()` | Enter Play Mode |
| `unity_stop()` | Exit Play Mode |
| `unity_take_screenshot(path?)` | Screenshot the Game view |
| `unity_console()` | Read console logs |
| `unity_import_asset(path)` | Import an asset into the project |
| `unity_create_prefab(go, name)` | Convert GameObject to a prefab |
## Usage Examples
### Generate a Script
```js
const script = await tools.unity_create_script(
"PlayerController", "PlayerController", "monobehaviour"
);
// Then edit it
await tools.unity_edit_script(script.path, {
methods: [{
name: "Update",
body: `if (Input.GetKeyDown(KeyCode.Space)) {
Jump();
}`
}]
});
```
### Scene Setup
```jsFrom SAI141003/ox, MIT.
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Signals
- Stars
- 1
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Oct 11, 2026 (20 days ago)
- Last release
- Oct 17, 2026 (14 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/SAI141003/ox
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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- 0.587score
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Done for you
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Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
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- launches shipped
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- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
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Cite this page
unity skill. Agent Mart. https://agentmart.dev/skills/sai141003-unity (last updated 2026-10-24)