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debug-expert

Diagnose runtime errors and generate prioritized repair recommendations from stack traces and logs.

Updated Apr 10, 2026
Search Tags:#debugging#diagnostics#error-analysis#root-cause-analysis#log-analysis#code-fix#repair-suggestions
One-click install
npx skills add https://github.com/ImaginerLabs/skill-manager --skill debug-expert
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: debug-expert
Source: https://github.com/ImaginerLabs/skill-manager/tree/main/skills/agent/debug-expert
Command: npx skills add https://github.com/ImaginerLabs/skill-manager --skill debug-expert

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Sherlock helps developers quickly identify the root cause of runtime errors, log anomalies, and failing application behavior, and provides prioritized, actionable repair suggestions to reduce mean time to resolution.

Core Features & Use Cases

  • Error Analysis: Parse error messages and stack traces to pinpoint file, line, and likely faulty logic.
  • Log Diagnostics: Aggregate and analyze logs to surface error clusters, timelines, and propagation chains.
  • Targeted Fixes: Propose minimal, safe code changes with risk assessments and validation steps for unit tests and monitoring.
  • Use Case: When a production API returns 500 errors, provide a reproducible diagnosis from stack traces and logs, list probable causes, and propose specific code patches and test steps.

Quick Start

Ask Sherlock to analyze an error by pasting the error message, stack trace, and a short description of the failing behavior.

Frequently Asked Questions about debug-expert

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

FAQPage Schema
How do I find the root cause of a runtime error from a stack trace?▼

To find the root cause of a runtime error from a stack trace, paste the error message and stack trace into the tool. It parses the trace to pinpoint the faulty file and line, then generates probability-ranked causes and targeted code fixes.

How do I diagnose API 500 errors using application logs?▼

Diagnose API 500 errors using application logs by providing the log excerpts to the tool. It aggregates and analyzes logs to surface error clusters, timelines, and propagation chains, producing a reproducible diagnosis with specific code patches.

Can I get repair suggestions for code fixes that include validation steps?▼

Yes, you can get repair suggestions for code fixes that include validation steps. The tool proposes minimal, safe code changes complete with risk assessments and step-by-step instructions for unit tests and monitoring.

What is the best way to analyze log anomalies and failing application behavior?▼

The best way to analyze log anomalies and failing application behavior is to aggregate the logs for diagnostics. This process surfaces error clusters and propagation chains, helping you quickly identify the root cause and reduce mean time to resolution.

Does root-cause analysis work without providing a description of the failing behavior?▼

Yes, root-cause analysis works by relying primarily on error messages, stack traces, or log excerpts. While providing a short description of the failing behavior helps refine the diagnosis, the tool can pinpoint faulty logic directly from the codebase inputs.

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