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Unity Profiler

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Besty0728
unity-profiler

Capture read-only Unity runtime performance snapshots

Overview

PublisherBesty0728
RepositoryUnity-Skills
Skill nameunity-profiler
Stars
1.8K
Forks
164
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by Besty0728 on GitHub. Read the source before you install it.

Installation

Install the Unity Profiler AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Use it in TypingMind

Enable Unity Profiler in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Unity Profiler on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Unity Profiler is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Before calling any skill in this module: if you are about to call a skill with parameters guessed from its name or description, STOP — read this file (or fetch its schema via GET /skills/recommend?includeSchema=true) first. If you already have the parameter definitions from recommend/schema, you may proceed straight to dryRun.

Triggers

  • Checking runtime performance
  • Taking a profiler snapshot
  • Inspecting memory/frame stats
  • 查看运行时性能、抓取 profiler 快照、检查内存/帧率统计

Profiler Skills

Get performance statistics.

Operating Mode

  • Approval / Auto / Bypass: 所有 skill 直接执行。本模块全部ReadOnly = true, Mode = SkillMode.SemiAuto,三档模式下都不需要 grant。
  • 本模块不含 Delete / PlayMode / Reload / RiskLevel=high 类 skill —— 没有 IsForbiddenInSemi 拦截。
  • 注:本组 skill 仅做"瞬时快照"读取,不是 Profiler 录制控制;持续采样请用 Unity Profiler 窗口。

DO NOT (common hallucinations):

  • profiler_start / profiler_stop do not exist → profiler skills are read-only snapshots, not recording controls
  • profiler_record does not exist → use Unity Profiler window for recording
  • profiler_analyze / profiler_get_fps do not exist → use profiler_get_stats (FPS, batches, draw calls) or profiler_get_memory (heap sizes)

Routing:

  • For scene performance hints → use perception module's scene_performance_hints
  • For memory info → debug_get_memory_info (debug module) or profiler_get_memory (this module)
  • For optimization suggestions → use optimization module

Skills

profiler_get_stats

Get performance statistics (FPS, Memory, Batches). Parameters: None.

Returns:

json
{
  "fps": 60.0,
  "triangles": 1500,
  "batches": 12,
  "memory": { "totalAllocatedMB": 256.5, ... }
}

profiler_get_memory

Get memory usage overview (total allocated, reserved, mono heap). Parameters: None.

Returns: { success, totalAllocatedMB, totalReservedMB, unusedReservedMB, monoHeapMB, monoUsedMB }

profiler_get_runtime_memory

Get top N objects by runtime memory usage in the scene.

ParameterTypeRequiredDefaultDescription
limitintNo20Maximum number of objects to return

Returns: { success, totalTrackedMB, showing, objects: [{ name, type, sizeKB }] }

profiler_get_texture_memory

Get memory usage of all loaded textures.

ParameterTypeRequiredDefaultDescription
limitintNo50Maximum number of textures to return

Returns: { success, totalCount, totalMB, topTextures: [{ name, type, sizeKB, width, height }] }

profiler_get_mesh_memory

Get memory usage of all loaded meshes.

ParameterTypeRequiredDefaultDescription
limitintNo50Maximum number of meshes to return

Returns: { success, totalCount, totalMB, topMeshes: [{ name, sizeKB, vertices, triangles }] }

profiler_get_material_memory

Get memory usage of all loaded materials.

ParameterTypeRequiredDefaultDescription
limitintNo50Maximum number of materials to return

Returns: { success, totalCount, totalMB, topMaterials: [{ name, shader, sizeKB }] }

profiler_get_audio_memory

Get memory usage of all loaded AudioClips.

ParameterTypeRequiredDefaultDescription
limitintNo50Maximum number of clips to return

Returns: { success, totalCount, totalMB, topClips: [{ name, sizeKB, length, channels, frequency }] }

profiler_get_object_count

Count all loaded objects grouped by type.

ParameterTypeRequiredDefaultDescription
topNintNo20Number of top types to return

Returns: { success, totalObjects, topTypes: [{ type, count }] }

profiler_get_rendering_stats

Get rendering statistics (batches, triangles, vertices, etc.). Parameters: None.

Returns: { success, frameTime, renderTime, triangles, vertices, batches, setPassCalls, drawCalls, dynamicBatchedDrawCalls, staticBatchedDrawCalls, instancedBatchedDrawCalls, shadowCasters }

profiler_get_asset_bundle_stats

Get information about all loaded AssetBundles. Parameters: None.

Returns: { success, count, bundles: [{ name, isStreamedSceneAssetBundle }] }

Exact Signatures

Exact names, parameters, defaults, and returns are defined by GET /skills/schema or unity_skills.get_skill_schema(), not by this file.

Frequently asked questions

What does the Unity Profiler AI skill do?

Capture read-only Unity runtime performance snapshots

Why use Unity Profiler on TypingMind?

Because you install it once and use it with any model. Unity Profiler is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Unity Profiler in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Besty0728/Unity-Skills/tree/main/SkillsForUnity/unity-skills~/skills/profiler. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Unity Profiler?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Unity Profiler?

As many as you like. As long as a model supports skills, you can use Unity Profiler with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Unity Profiler AI skill free?

Yes. It is published on GitHub by Besty0728 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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