/profiler-load-data
Read back a previously-saved JSON snapshot from `profiler-save-data` and return its raw text.
$ npx -y skills add IvanMurzak/Unity-MCP --skill profiler-load-data --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
- Slash command
/profiler-load-data
Context preview
The summary Claude sees to decide when to auto-load this skill.
Read back a previously-saved JSON snapshot from `profiler-save-data` and return its raw text.
SKILL.md
profiler-load-data.SKILL.mdname: profiler-load-data
description: Read back a previously-saved JSON snapshot from `profiler-save-data` and return its raw text.
Profiler / Load Data
Reads `filePath` as UTF-8 text and returns the file body unchanged. Caller is responsible for parsing.
Inputs
- `filePath` (required) — path written by `profiler-save-data`.
Errors
- Returns `[Error]` when `filePath` is empty, the file does not exist, exceeds the 10 MB size cap, or the read fails.
Behavior
Uses `System.IO.File.ReadAllText` (BCL) — no external Unity package is required. Files larger than 10 MB are rejected up-front to avoid OOM on a stray call.
How to Call
unity-mcp-cli run-tool profiler-load-data --input '{
"filePath": "string_value"
}'> For complex input (multi-line strings, code), save the JSON to a file and use: > ```bash > unity-mcp-cli run-tool profiler-load-data --input-file args.json > ``` > > Or pipe via stdin (recommended): > ```bash > unity-mcp-cli run-tool profiler-load-data --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 | |------|------|----------|-------------| | `filePath` | `string` | Yes | Path to a profiler snapshot file previously written by 'profiler-save-data'. |
Input JSON Schema
{
"type": "object",
"properties": {
"filePath": {
"type": "string"
}
},
"required": [
"filePath"
]
}Output
Output JSON Schema
{
"type": "object",
"properties": {
"result": {
"type": "string"
}
},
"required": [
"result"
]
}Read more
name: profiler-load-data description: Read back a previously-saved JSON snapshot from `profiler-save-data` and return its raw text.
Profiler / Load Data
Reads `filePath` as UTF-8 text and returns the file body unchanged. Caller is responsible for parsing.
Inputs
- `filePath` (required) — path written by `profiler-save-data`.
Errors
- Returns `[Error]` when `filePath` is empty, the file does not exist, exceeds the 10 MB size cap, or the read fails.
Behavior
Uses `System.IO.File.ReadAllText` (BCL) — no external Unity package is required. Files larger than 10 MB are rejected up-front to avoid OOM on a stray call.
How to Call
unity-mcp-cli run-tool profiler-load-data --input '{
"filePath": "string_value"
}'> For complex input (multi-line strings, code), save the JSON to a file and use: > ```bash > unity-mcp-cli run-tool profiler-load-data --input-file args.json > ``` > > Or pipe via stdin (recommended): > ```bash > unity-mcp-cli run-tool profiler-load-data --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 | |------|------|----------|-------------| | `filePath` | `string` | Yes | Path to a profiler snapshot file previously written by 'profiler-save-data'. |
Input JSON Schema
{
"type": "object",
"properties": {
"filePath": {
"type": "string"
}
},
"required": [
"filePath"
]
}Output
Output JSON Schema
{
"type": "object",
"properties": {
"result": {
"type": "string"
}
},
"required": [
"result"
]
}Get up and running in three steps: Install plugin — download the .unitypackage installer or run openupm add com.ivanmurzak.unity.mcp Alternative: npx unity-mcp-cli install-plugin ./MyUnityProject — see CLI documentation Pick an AI agent — Claude Code, Claude
Repo: IvanMurzak/Unity-MCP
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