MR
Mayur Rathi
@mayurrathi
⭐ 40.7k GitHub stars

Debugger

Debugger is an code AI skill with a core value of |. It helps developers solve real-world problems in the code domain, boosting efficiency, automating repetitive tasks, and optimizing workflows.

|

Last verified on: 2026-07-07

Quick Facts

Category code
Works With Claude
Source sickn33/antigravity-awesome-skills
Stars ⭐ 40.7k
Last Verified 2026-07-07
Risk Level Low
mkdir -p ./skills/debugger && curl -sfL https://raw.githubusercontent.com/sickn33/antigravity-awesome-skills/main/skills/debugger/SKILL.md -o ./skills/debugger/SKILL.md

Run in terminal / PowerShell. Requires curl (Unix) or PowerShell 5+ (Windows).

Skill Content

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.

- If detailed examples are required, open `resources/implementation-playbook.md`.


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.

🎯 Best For

  • Debugging engineers
  • QA teams
  • Claude users
  • Software engineers
  • Development teams

💡 Use Cases

  • Tracing runtime errors in production logs
  • Identifying memory leaks
  • Code quality improvement
  • Best practice enforcement

📖 How to Use This Skill

  1. 1

    Install the Skill

    Copy the install command from the Terminal tab and run it. The SKILL.md file downloads to your local skills directory.

  2. 2

    Load into Your AI Assistant

    Open Claude and reference the skill. Paste the SKILL.md content or use the system prompt tab.

  3. 3

    Apply Debugger to Your Work

    Open your project in the AI assistant and ask it to apply the skill. Start with a small module to verify the output quality.

  4. 4

    Review and Refine

    Review AI suggestions before committing. Run tests, check for regressions, and iterate on the skill output.

❓ Frequently Asked Questions

Can this debug production issues?

Yes, but always ensure you have proper logging and monitoring in place first.

Is Debugger compatible with Cursor and VS Code?

Yes — this skill works with any AI coding assistant including Cursor, VS Code with Copilot, and JetBrains IDEs.

Do I need specific dependencies for Debugger?

Check the install command and Works With section. Most code skills only require the AI assistant and your codebase.

How do I install Debugger?

Copy the install command from the Terminal tab and run it. The skill downloads to ./skills/debugger/SKILL.md, ready to use.

Can I customize this skill for my team?

Absolutely. Edit the SKILL.md file to add team-specific instructions, examples, or workflows.

⚠️ Common Mistakes to Avoid

Debugging without context

Always provide the full error stack and surrounding code context for accurate debugging.

Skipping validation

Always test AI-generated code changes, even for simple refactors.

Missing dependency updates

Check if the skill requires updated dependencies or new packages.

🔗 Related Skills