debug-error

Debug software errors by analyzing messages, stack traces, and source code.

5|Updated Mar 11, 2026

Search Tags:#code analysis #debugging #troubleshooting #software development #hypothesis testing #error resolution

Ready to run

npx skills add https://github.com/SteveFeldman/agents-skills --skill debug-error-stevefeldman

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: debug-error
Source: https://github.com/SteveFeldman/agents-skills/tree/main/skills/debug-error
Command: npx skills add https://github.com/SteveFeldman/agents-skills --skill debug-error-stevefeldman

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides a structured, hypothesis-driven approach to systematically debug and resolve errors in code, reducing the time spent on troubleshooting.

Core Features & Use Cases

Error Analysis: Deeply analyzes error messages, stack traces, and source code.
Hypothesis Generation: Helps form and test ranked hypotheses about the root cause of bugs.
Systematic Investigation: Guides users through a step-by-step process to isolate and confirm issues.
Use Case: When encountering a cryptic runtime error, this Skill will guide you through reading the error, reproducing it, analyzing the stack trace, forming hypotheses, and systematically investigating until the root cause is found and a fix is implemented.

Quick Start

Use the debug-error skill to systematically debug the current error.

Frequently Asked Questions about debug-error

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

FAQPage Schema

What is a hypothesis-driven approach to debugging code errors?▼

A hypothesis-driven debugging approach systematically analyzes error messages and stack traces to form ranked assumptions about root causes, then tests each hypothesis against the source code until the actual issue is isolated and confirmed.

How do I systematically debug a cryptic runtime error in my software?▼

To systematically debug a runtime error, you should reproduce the issue, analyze the stack trace, form ranked hypotheses about the root cause, test each assumption against the source code, implement a fix, and verify the solution to prevent recurrence.

What is the best way to troubleshoot software errors using stack traces?▼

The best way to troubleshoot software errors using stack traces is to analyze the trace alongside error messages to pinpoint the failure origin, then generate and test hypotheses against the source code and environment dependencies to isolate the root cause.

Can I use a structured debugging methodology for any programming language or environment?▼

Yes, a structured debugging methodology can be applied across any software development environment, as it focuses on universal troubleshooting steps like analyzing error messages, checking dependencies, testing hypotheses, and verifying implemented fixes regardless of the specific language.

Why should I form hypotheses before changing code when troubleshooting bugs?▼

Forming hypotheses before changing code prevents random modifications by ensuring you systematically test ranked assumptions about the root cause, which reduces troubleshooting time and confirms the exact issue before implementing a verified fix.

What should I do after implementing a fix to prevent the error from recurring?▼

After implementing a fix to resolve a software error, you should verify the solution works under the same conditions that triggered the original issue, and apply systematic prevention measures to ensure the bug does not recur in the future.