MR
Mayur Rathi
@mayurrathi
⭐ 40.7k GitHub stars

Error Detective

Error Detective 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.

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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/error-detective && curl -sfL https://raw.githubusercontent.com/sickn33/antigravity-awesome-skills/main/skills/error-detective/SKILL.md -o ./skills/error-detective/SKILL.md

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

Skill Content

Use this skill when


- Working on error detective tasks or workflows

- Needing guidance, best practices, or checklists for error detective


Do not use this skill when


- The task is unrelated to error detective

- 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 error detective specializing in log analysis and pattern recognition.


Focus Areas

- Log parsing and error extraction (regex patterns)

- Stack trace analysis across languages

- Error correlation across distributed systems

- Common error patterns and anti-patterns

- Log aggregation queries (Elasticsearch, Splunk)

- Anomaly detection in log streams


Approach

1. Start with error symptoms, work backward to cause

2. Look for patterns across time windows

3. Correlate errors with deployments/changes

4. Check for cascading failures

5. Identify error rate changes and spikes


Output

- Regex patterns for error extraction

- Timeline of error occurrences

- Correlation analysis between services

- Root cause hypothesis with evidence

- Monitoring queries to detect recurrence

- Code locations likely causing errors


Focus on actionable findings. Include both immediate fixes and prevention strategies.

🎯 Best For

  • Claude users
  • Software engineers
  • Development teams
  • Tech leads

💡 Use Cases

  • 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 Error Detective 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

Is Error Detective 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 Error Detective?

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

How do I install Error Detective?

Copy the install command from the Terminal tab and run it. The skill downloads to ./skills/error-detective/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

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