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Unity Bug Root Cause

Community
MinhLN1234
unity-bug-root-cause

Trace a Unity gameplay bug back to its original trigger instead of patching the symptom — use for issues that surface deep in execution, like health/HP desync, a timer or cooldown firing at the wrong moment, state or camera transitions glitching, spawns activating on the wrong wave/frame, or any behavior that diverges from what a design doc or GDD says. Trigger whenever the user describes a bug with "tại sao", "lỗi này do đâu", "sao nó lại", a stack trace, reproduction steps, or "X should happen but Y happens instead." Prefer this skill over jumping straight to a fix when the cause isn't obvious from the error site itself.

Overview

PublisherMinhLN1234
RepositoryClaude-Cowork-Game-Studio
Skill nameunity-bug-root-cause
Stars
79
Forks
31
Bundled files
Instructions only
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 MinhLN1234 on GitHub. Read the source before you install it.

Installation

Install the Unity Bug Root Cause 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.
    https://github.com/MinhLN1234/Claude-Cowork-Game-Studio/tree/master/unity-bug-root-cause
  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.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/MinhLN1234/Claude-Cowork-Game-Studio.git /tmp/Claude-Cowork-Game-Studio
mkdir -p .claude/skills
cp -r /tmp/Claude-Cowork-Game-Studio/unity-bug-root-cause .claude/skills/unity-bug-root-cause
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Unity Bug Root Cause 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 Bug Root Cause 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 Bug Root Cause 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.

Unity Bug Root Cause

The instinct when a bug report comes in is to fix it where it's visible — add a null check where the exception threw, clamp a value where it went negative. That often just hides the symptom one level up and the same bug resurfaces somewhere else. This skill is about tracing backwards through the actual causal chain until you find the original decision point that produced the wrong state, then fixing there.

The class of bug this catches

A large share of "weird bug" reports in a gameplay codebase aren't logic errors at the symptom site — they're drift: a numeric rule or timing constant (health value, cooldown window, transition type, spawn/wave number) that no longer matches what the design docs say, or that's been duplicated and only updated in one place. Before assuming a logic bug, check whether the misbehaving value still matches its documented spec. This is often the fastest path to the real cause.

Process

  1. Pin down the expected behavior first. Before touching code, find what's supposed to happen. Look for the project's design docs — a GDD, a project bible / CLAUDE.md, or whatever spec the project keeps — and read the actual rule (exact value, timing window, transition type, wave/frame number). If the docs are ambiguous or silent, say so rather than guessing.

  2. Reproduce, don't assume. Get exact repro steps or the exact moment in a playthrough where it goes wrong. If the report is vague ("the camera glitches sometimes"), ask for the specific trigger before tracing — root-causing a bug you can't pin down wastes time on the wrong branch.

  3. Walk backwards from the symptom. Find where the wrong value/state is first observed (the crash, the visual glitch, the wrong number on screen). Then ask: where was this value last correct? Trace the call chain or event chain backwards between those two points — this is usually faster than reading forward from where you guess the bug "probably" is.

  4. Use the codebase as evidence, not memory. Grep for the actual values and method names involved (the setters, the reset/trigger calls, the state transitions, the spawn logic) rather than reasoning from what the code "probably" does. Read the real call sites.

  5. Distinguish trigger from symptom. The original trigger is usually further back than it looks — e.g. a counter resetting too early might be caused by an event firing twice, not by the reset logic itself being wrong. Keep asking "what caused this state to become true" until you hit something that's either (a) a single clear root cause, or (b) a doc/value mismatch.

  6. Check for the same drift elsewhere. If the root cause turns out to be a stale or duplicated value (a threshold, a timing constant), grep the rest of the codebase and the docs for the same value — fixing it in one place and missing a duplicate is a common way this exact bug returns later.

Output format

## Symptom
[what the user observed]

## Expected behavior (per docs)
[the documented rule, with doc filename/section, or "not documented" if so]

## Root cause
[the actual originating trigger — be specific: function, line, event]

## Why the symptom looks the way it does
[the causal chain from root cause to observed symptom]

## Fix
[where to fix — at the root cause, not the symptom site — and what else needs to stay in sync]

## Other places to check
[any other doc or code location referencing the same value/rule, if relevant]

If after tracing you genuinely can't isolate a single root cause (e.g. it's a race condition that needs more repro data), say that plainly and propose the next diagnostic step rather than guessing at a fix.

Frequently asked questions

What does the Unity Bug Root Cause AI skill do?

Trace a Unity gameplay bug back to its original trigger instead of patching the symptom — use for issues that surface deep in execution, like health/HP desync, a timer or cooldown firing at the wrong moment, state or camera transitions glitching, spawns activating on the wrong wave/frame, or any behavior that diverges from what a design doc or GDD says. Trigger whenever the user describes a bug with "tại sao", "lỗi này do đâu", "sao nó lại", a stack trace, reproduction steps, or "X should happen but Y happens instead." Prefer this skill over jumping straight to a fix when the cause isn't ob...

Why use Unity Bug Root Cause on TypingMind?

Because you install it once and use it with any model. Unity Bug Root Cause 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 Bug Root Cause in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/MinhLN1234/Claude-Cowork-Game-Studio/tree/master/unity-bug-root-cause. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Unity Bug Root Cause?

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 Bug Root Cause?

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

Is the Unity Bug Root Cause AI skill free?

It is published on GitHub by MinhLN1234. Check the repository for licensing terms. 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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