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Unity Debug

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Besty0728
unity-debug

Inspect debug, diagnostics and compile state

Overview

PublisherBesty0728
RepositoryUnity-Skills
Skill nameunity-debug
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 Debug 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 Debug 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 Debug 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 Debug 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

  • Diagnosing compile failures
  • Checking errors after a change
  • Forcing recompilation
  • Gathering system diagnostics
  • 诊断编译失败、改动后检查报错、强制重编、收集系统诊断

Debug Skills

Debug utilities for error checking and diagnostics.

Operating Mode

  • Approval: 只读类 skill(unity_diagnose / debug_get_errors / debug_get_logs / debug_check_compilation / debug_get_system_info / debug_get_stack_trace / debug_get_assembly_info / debug_get_defines / debug_get_memory_info,全部标 SkillMode.SemiAuto)直接执行;debug_force_recompile / debug_set_defines 默认 SkillMode.FullAuto,需用户 grant,grant 后一步执行返结果。
  • Auto / Bypass: 直接执行。
  • 本模块含 Reload 类高危 skilldebug_force_recompile(标 MayTriggerReload=true)必然触发 Domain Reload;debug_set_defines 修改 PlayerSettings 的 scripting defines 也会触发重编译 —— 这些 skill 在 Approval / Auto 下会被 IsForbiddenInSemi 自动拦截,仅 Bypass 或 Allowlist 命中可执行,调用后服务端会短暂不可用。

DO NOT (common hallucinations):

  • debug_compile / debug_recompile do not exist → use debug_force_recompile
  • debug_run does not exist → use editor_play (editor module)
  • debug_clear does not exist → use console_clear (console module)
  • debug_set_defines triggers Domain Reload — server will be temporarily unavailable

Routing:

  • For runtime console logs → use console module's console_get_logs / console_start_capture
  • For play mode control → use editor module
  • For script compile feedback → use script module's script_get_compile_feedback

Skills

unity_diagnose

Aggregated Editor health snapshot — call this FIRST when triaging problems. Combines console errors, compile state, recent workflow tasks, recent jobs, and server stats in a single response. Avoids chaining 4-5 individual skills.

Parameters:

  • errorLimit (int, optional, default 20, range 1-200): Max console entries to return.
  • includeWarnings (bool, optional, default true): Include warnings (false = errors only).
  • includeRecentJobs (bool, optional, default true): Include the 10 most recent async jobs.

Returns: { summary: { healthy, consoleErrorCount, consoleWarningCount, isCompiling, serverRunning, hint }, compile, console, workflow, server, recentJobs }

debug_get_logs

Get console logs filtered by type and content. Parameters:

  • type (string, optional): Filter by type (Error/Warning/Log). Default: Error.
  • filter (string, optional): Filter by content.
  • limit (int, optional): Max entries. Default: 50.

debug_get_errors

Get only active errors and exceptions from console. Parameters:

  • limit (int, optional): Max entries. Default: 50.

debug_check_compilation

Check if there are any compilation errors. Parameters: None.

debug_force_recompile

Force Unity to recompile all scripts. Parameters: None.

debug_get_system_info

Get system and Unity environment information. Parameters: None.

debug_get_stack_trace

Get stack trace for a log entry by index.

ParameterTypeRequiredDefaultDescription
entryIndexintYes-Index of the log entry to retrieve stack trace for

Returns: { index, message, stackTrace }

debug_get_assembly_info

Get project assembly information.

Parameters: None.

Returns: { success, count, assemblies }

debug_get_defines

Get scripting define symbols for current platform.

Parameters: None.

Returns: { success, buildTargetGroup, defines }

debug_set_defines

Set scripting define symbols for current platform.

ParameterTypeRequiredDefaultDescription
definesstringYes-Scripting define symbols to set

Returns: { success, buildTargetGroup, defines, serverAvailability }

debug_get_memory_info

Get memory usage information.

Parameters: None.

Returns: { success, totalAllocatedMB, totalReservedMB, totalUnusedReservedMB, monoUsedSizeMB, monoHeapSizeMB }


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 Debug AI skill do?

Inspect debug, diagnostics and compile state

Why use Unity Debug on TypingMind?

Because you install it once and use it with any model. Unity Debug 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 Debug in TypingMind?

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

Which AI models can use Unity Debug?

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 Debug?

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

Is the Unity Debug 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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