debugging

Diagnose software defects through structured root-cause analysis and hypothesis testing.

21|2|Updated Jan 17, 2026
One-click install
npx skills add https://github.com/siviter-xyz/dot-agent --skill debugging-siviter-xyz
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: debugging
Source: https://github.com/siviter-xyz/dot-agent/tree/main/skills/debugging
Command: npx skills add https://github.com/siviter-xyz/dot-agent --skill debugging-siviter-xyz

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides a structured approach to diagnosing and resolving software defects by guiding root-cause analysis, hypothesis testing, and verification.

Core Features & Use Cases

  • Evidence-based diagnosis: Collect error messages, logs, and reproduction steps to form testable hypotheses.
  • Systematic debugging process: A step-by-step workflow from error capture to validation.
  • Minimal fixes and verification: Focus on the smallest change that resolves the issue and verify it with tests or reproducible steps.
  • References-driven guidance: Leverages the included references for deep-dive techniques and patterns.
  • Use Case: When a test fails or an application crashes, use this Skill to reproduce the issue, identify root cause, propose fixes, and validate the solution.

Quick Start

  • Provide error details (message, stack trace, logs) and a reproducible scenario, then ask the Skill to produce a root-cause analysis and a debugging plan.
  • Optionally supply environment details and recent changes to refine hypotheses.

Frequently Asked Questions about debugging

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

FAQPage Schema
How do I perform root-cause analysis for a failing test or runtime error?

Root-cause analysis for a failing test or runtime error involves collecting error messages, logs, and reproducible steps to form testable hypotheses. This Skill guides you through evidence-based diagnosis, from error capture to proposing minimal fixes and verifying outcomes.

What is the best way to debug stack traces across a codebase?

The best way to debug stack traces is to apply a structured workflow that enforces evidence-based hypothesis testing. You capture the error, analyze logs and recent changes, and verify the minimal fix using reproducible steps.

How do I structure a debugging workflow for performance issues?

Structuring a debugging workflow for performance issues requires capturing error messages and logs, forming testable hypotheses based on reproducible steps, and applying minimal fixes. This Skill enforces formal verification of outcomes to ensure the resolution.

Do I need reproducible steps to diagnose software defects efficiently?

Reproducible steps are needed to diagnose software defects efficiently because they drive evidence-based hypothesis testing. Supplying environment details and reproduction scenarios allows the Skill to generate accurate root-cause analyses and debugging plans.

Why does my debugging process fail to resolve recurring issues?

Your debugging process fails to resolve recurring issues when it lacks formal verification of outcomes and minimal fixes. By enforcing evidence-based hypothesis testing from error capture to validation, this Skill ensures the root-cause is correctly addressed.

Can I use error messages and logs alone to guide a debugging plan?

Error messages and logs alone can guide a debugging plan, but combining them with reproducible steps and environment details refines hypotheses. This Skill leverages these inputs alongside recommended references to produce systematic root-cause analysis.