debug

Name: debug
Availability: InStock
Author: WillLovesNoCode

Diagnose and fix software bugs through structured reproduction and testing.

232|43|Updated Jan 13, 2026

Search Tags:#debugging #diagnostics #reproduction #bug-fix #ai-assisted #non-technical-founders

Ready to run

npx skills add https://github.com/whawkinsiv/solo-founder-superpowers --skill debug-whawkinsiv

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: debug
Source: https://github.com/whawkinsiv/solo-founder-superpowers/tree/main/developer-skills/7-debug
Command: npx skills add https://github.com/whawkinsiv/solo-founder-superpowers --skill debug-whawkinsiv

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps non-technical founders approach bugs methodically, replacing guesswork with reproducible processes, structured diagnostics, and AI-assisted fixes.

Core Features & Use Cases

Reproduce bugs consistently using a guided checklist to capture steps and context.
Gather diagnostic evidence (screenshots, logs, console and network data) to feed to AI for analysis.
Receive AI-driven diagnosis and recommended fixes, then validate changes to prevent regressions.
Ideal for issues where features break, users report errors, or tests fail in web applications and services.

Quick Start

Reproduce the bug with clear steps, capture artifacts, and feed the information to AI to diagnose and fix.

Frequently Asked Questions about debug

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

FAQPage Schema

How do I fix bugs in my web application when users report errors?▼

To fix bugs in your web application, reproduce the issue using a guided checklist, collect diagnostic evidence like logs and screenshots, and feed the information to AI for analysis and recommended fixes.

What is the best way to reproduce a software bug consistently?▼

The best way to reproduce a software bug consistently is to follow a guided checklist that captures exact reproduction steps, contextual environment details, and diagnostic data like console and network logs.

Can I use AI to diagnose errors and fix failing tests without technical knowledge?▼

Yes, non-technical founders can use AI to diagnose errors and fix failing tests by gathering diagnostic evidence such as screenshots and console data, then feeding it to AI for structured analysis and recommended fixes.

How do I prevent regressions after applying a bug fix?▼

To prevent regressions after applying a bug fix, validate the AI-recommended changes by running thorough tests and verifying that the original reproduction steps no longer trigger the error.

What diagnostic information should I collect when a feature breaks?▼

When a feature breaks, collect diagnostic information including screenshots, system logs, console data, and network data to provide comprehensive context for AI-driven analysis and fixes.

Is structured bug tracking suitable for non-technical founders?▼

Structured bug tracking is suitable for non-technical founders because it replaces guesswork with reproducible processes, guiding you through evidence collection and AI-assisted fixes for web applications and services.