debugger

Parse stack traces and generate structured RCA reports with prioritized fixes.

1|Updated Mar 4, 2026
One-click install
npx skills add https://github.com/Prathmesh2000/cursor_agent-orchestrator --skill debugger-prathmesh2000
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: debugger
Source: https://github.com/Prathmesh2000/cursor_agent-orchestrator/tree/main/agent-system/skills/debugger
Command: npx skills add https://github.com/Prathmesh2000/cursor_agent-orchestrator --skill debugger-prathmesh2000

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill provides a structured approach to debugging by collecting context, parsing errors, performing root cause analysis, and proposing validated remediation options.

Core Features & Use Cases

  • Gather information about the failure: expected vs actual behavior, error messages, environment, and steps to reproduce.
  • Parse and analyze stack traces to identify root causes and affected components.
  • Generate RCA reports and present 2–4 actionable fix options with risk/effort assessments.
  • Assist with implementation and verification steps to ensure regression coverage and prevention.

Quick Start

Paste the error message and stack trace along with any relevant context to start RCA and receive actionable fix options.

Frequently Asked Questions about debugger

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

FAQPage Schema
How do I perform root cause analysis from a stack trace?

Root cause analysis from a stack trace involves parsing the error output to identify affected components, gathering reproduction context, and generating a structured RCA report to isolate the exact failure point.

What is the best way to get actionable fix options for a production bug?

To get actionable fix options for a production bug, provide the error message, stack trace, and environment information for RCA. This yields prioritized remedy options complete with risk and effort assessments tailored to your staging or production context.

How do I diagnose bugs when I only have an error message and environment details?

Diagnosing bugs with an error message and environment details requires comparing expected versus actual behavior alongside reproduction steps. This context allows for systematic diagnostics and root cause identification across development environments.

Can I use automated diagnostics to find fixes across development and staging environments?

Yes, automated diagnostics can identify root causes and propose validated remediation options across development, staging, and production environments. It requires passing environment information and reproduction steps to generate accurate fixes.

What context do I need to provide for effective troubleshooting of a failing application?

Effective troubleshooting requires error details like messages and stack traces, environment information, expected versus actual behavior, and steps to reproduce the failure. This gathered context drives the root cause analysis process.

How does root cause analysis help prevent software regression after applying a fix?

Root cause analysis helps prevent regression by proposing validated remediation options and assisting with implementation and verification steps. This ensures regression coverage is maintained after the root cause is resolved.