error-detective

Diagnose software errors across Python, JavaScript, Java, and Go using the TRACE framework.

26|5|Updated Oct 26, 2025
One-click install
npx skills add https://github.com/AutumnsGrove/ClaudeSkills --skill error-detective
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: error-detective
Source: https://github.com/AutumnsGrove/ClaudeSkills/tree/main/error-detective
Command: npx skills add https://github.com/AutumnsGrove/ClaudeSkills --skill error-detective

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and examples (resource) components.

What problem does it solve?

Debugging code and understanding cryptic error messages can be a frustrating and time-consuming process. This Skill acts as your personal error detective, helping you quickly diagnose issues, interpret stack traces, and suggest solutions, so you can fix bugs faster and reduce downtime.

Core Features & Use Cases

  • Error Diagnosis: Analyze error messages and stack traces to pinpoint the root cause of issues.
  • Solution Suggestions: Provide actionable steps and code examples to resolve common programming errors.
  • Debugging Workflow: Guide you through a structured debugging process for efficient problem-solving.
  • Use Case: You encounter a TypeError in your Python application. Provide the stack trace to this Skill, and it will explain the error, identify the problematic line of code, and suggest how to fix the type mismatch.

Quick Start

Example: Analyze a Python stack trace

(Assuming a script or prompt interaction)

Claude: "Analyze this Python stack trace:"

Traceback (most recent call last):

File "main.py", line 5, in <module>

result = "hello" + 10

TypeError: can only concatenate str (not "int") to str

Frequently Asked Questions about error-detective

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I analyze a stack trace to find the root cause of an error?

Stack trace analysis identifies the root cause by reading error messages from bottom to top, pinpointing the exact file and line where failure occurred. The TRACE framework structures this process: parse the trace, recognize error patterns, analyze context, check root causes, and verify fixes work correctly.

Can I use this to debug errors in Python, JavaScript, Java, and Go?

Yes, error diagnosis and stack-trace analysis work across Python, JavaScript, Java, and Go. The Skill applies structured debugging with pattern recognition and root-cause checks tailored to each language's error reporting conventions.

What's the best way to troubleshoot intermittent failures in production?

Production incident investigation uses reproducibility validation and context analysis to isolate intermittent failures. Document the error conditions, reproduce the issue when possible, and apply the structured TRACE workflow to identify root causes that may depend on timing, load, or environmental state.

How do I turn a cryptic error message into an actionable fix?

Error diagnosis extracts the problem statement, stack trace, and affected code from the error message. Pattern recognition maps it to known issues, context analysis reveals the surrounding code logic, and root-cause checks confirm the fix before execution to reduce debugging time.

Do I need special tools to parse and interpret error logs?

No special tools are required. The Skill provides reusable tooling and workflow documentation for stack-trace parsing and error-pattern recognition. You supply the error message or trace; the structured debugging process guides diagnosis without external dependencies.