# Profiler Start

> Enable Unity's runtime profiler and open the Profiler window. Idempotent: calling when already enabled returns the current enabled state without error.

- Skill: `gabrielmoreira/profiler-start` (Agent Skill)
- Install (CLI): `npx skillmds@latest add gabrielmoreira/profiler-start`
- Raw SKILL.md: https://api.skillmd.com/api/skills/gabrielmoreira/profiler-start/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: gabrielmoreira (https://skillmd.com/u/gabrielmoreira)
- Updated: 2026-09-09
- Page: https://skillmd.com/skills/gabrielmoreira/profiler-start

---


# Profiler / Start

Enables `UnityEngine.Profiling.Profiler.enabled = true` and opens `Window > Analysis > Profiler` via `EditorApplication.ExecuteMenuItem`. Returns `true` once the profiler is enabled.

## Behavior

Uses only built-in Unity APIs (`UnityEngine.Profiling`, `UnityEditor.EditorApplication`). No external Unity package is required.

Snapshot-based: this tool does not stream historical frame data — use Unity's Profiler window directly for that.

## How to Call

```bash
unity-mcp-cli run-tool profiler-start --input '{
  "nothing": "string_value"
}'
```

> For complex input (multi-line strings, code), save the JSON to a file and use:
> ```bash
> unity-mcp-cli run-tool profiler-start --input-file args.json
> ```
>
> Or pipe via stdin (recommended):
> ```bash
> unity-mcp-cli run-tool profiler-start --input-file - <<'EOF'
> {"param": "value"}
> EOF
> ```


### Troubleshooting

If `unity-mcp-cli` is not found, either install it globally (`npm install -g unity-mcp-cli`) or use `npx unity-mcp-cli` instead.
Read the /unity-initial-setup skill for detailed installation instructions.

## Input

| Name | Type | Required | Description |
|------|------|----------|-------------|
| `nothing` | `string` | No |  |

### Input JSON Schema

```json
{
  "type": "object",
  "properties": {
    "nothing": {
      "type": "string"
    }
  }
}
```

## Output

### Output JSON Schema

```json
{
  "type": "object",
  "properties": {
    "result": {
      "type": "boolean"
    }
  },
  "required": [
    "result"
  ]
}
```