revealui-debugging

Reproduce, diagnose, and fix issues through a structured debugging workflow.

4|Updated Jan 3, 2026

Search Tags:#workflow #testing #debugging #root-cause #repro #bug-triage

Ready to run

npx skills add https://github.com/RevealUIStudio/revealui --skill revealui-debugging

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: revealui-debugging
Source: https://github.com/RevealUIStudio/revealui/tree/main/.agents/skills/revealui-debugging
Command: npx skills add https://github.com/RevealUIStudio/revealui --skill revealui-debugging

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Systematic debugging workflow to replace shotgun debugging with repeatable, evidence-based fixes.

Core Features & Use Cases

Step-by-step reproducibility: capture errors, stack traces, and minimal repro cases.
Hypothesis-driven debugging: form focused root-cause hypotheses before changing code.
Verification and safe commits: validate fixes with targeted tests and clean commits.

Quick Start

Follow the six-step process to reproduce, hypothesize, validate, fix narrowly, verify, and commit.

Frequently Asked Questions about revealui-debugging

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

FAQPage Schema

How do I structure a debugging workflow to find the root cause of a bug?▼

A debugging workflow structures root-cause analysis by capturing minimal repro cases, forming focused hypotheses, making controlled code changes, and verifying fixes with targeted tests before committing.

What is hypothesis-driven debugging and how does it prevent shotgun debugging?▼

Hypothesis-driven debugging replaces shotgun debugging by requiring you to form focused root-cause hypotheses based on captured stack traces and minimal repro cases before changing any code.

How do I create a minimal repro case for a test failure or unexpected behavior?▼

To create a minimal repro case, capture the specific errors, stack traces, and exact conditions that trigger the unexpected behavior, isolating variables to reproduce the test failure consistently.

What is the best way to verify a bug fix before committing code?▼

Verify a bug fix by running targeted tests against the specific repro case, ensuring the unexpected behavior is resolved without regressions, then creating a clean commit with safe guardrails.

Does this structured debugging process work for incident response and QA?▼

Yes, this structured debugging process applies across software development, QA, and incident response to handle bugs, test failures, and unexpected behavior through repeatable, evidence-based steps.

Why should I not change code before forming a root-cause hypothesis?▼

Changing code before forming a root-cause hypothesis leads to shotgun debugging, which lacks reproducibility and evidence, increasing the risk of incomplete fixes and new regressions.