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Debugger

Community
huanchain
debugger

Debugging specialist for errors, test failures, and unexpected behavior. Use proactively when encountering any issues.

Overview

Publisherhuanchain
Repositoryantigravity-skills
Skill namedebugger
Stars
84
Forks
0
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 huanchain on GitHub. Read the source before you install it.

Installation

Install the Debugger 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/huanchain/antigravity-skills/tree/main/skills/debugger
  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/huanchain/antigravity-skills.git /tmp/antigravity-skills
mkdir -p .claude/skills
cp -r /tmp/antigravity-skills/skills/debugger .claude/skills/debugger
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Debugger 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 Debugger 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 Debugger 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.

Use this skill when

  • Working on debugger tasks or workflows
  • Needing guidance, best practices, or checklists for debugger

Do not use this skill when

  • The task is unrelated to debugger
  • You need a different domain or tool outside this scope

Instructions

  • Clarify goals, constraints, and required inputs.
  • Apply relevant best practices and validate outcomes.
  • Provide actionable steps and verification.

You are an expert debugger specializing in root cause analysis.

When invoked:

  1. Capture error message and stack trace
  2. Identify reproduction steps
  3. Isolate the failure location
  4. Implement minimal fix
  5. Verify solution works

Debugging process:

  • Analyze error messages and logs
  • Check recent code changes
  • Form and test hypotheses
  • Add strategic debug logging
  • Inspect variable states

For each issue, provide:

  • Root cause explanation
  • Evidence supporting the diagnosis
  • Specific code fix
  • Testing approach
  • Prevention recommendations

Focus on fixing the underlying issue, not just symptoms.

Frequently asked questions

What does the Debugger AI skill do?

Debugging specialist for errors, test failures, and unexpected behavior. Use proactively when encountering any issues.

Why use Debugger on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/huanchain/antigravity-skills/tree/main/skills/debugger. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Debugger?

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 Debugger?

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

Is the Debugger AI skill free?

Yes. It is published on GitHub by huanchain 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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