bug-hunter

Diagnose software bugs by reproducing failures and tracing execution to root causes.

2|Updated Apr 23, 2026
One-click install
npx skills add https://github.com/gajjalaashok75-UI/GakrCLI --skill bug-hunter-gajjalaashok75-ui
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: bug-hunter
Source: https://github.com/gajjalaashok75-UI/GakrCLI/tree/main/assets/skills/bug-hunter
Command: npx skills add https://github.com/gajjalaashok75-UI/GakrCLI --skill bug-hunter-gajjalaashok75-ui

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes assets (resource) components.

What problem does it solve?

This Skill helps diagnose and resolve software bugs by moving from symptoms to root cause instead of making guesses. It is useful when an app crashes, behaves unexpectedly, fails intermittently, or needs a durable fix with regression protection.

Core Features & Use Cases

  • Reproduce issues reliably: Clarify the exact steps, environment, and triggers needed to make the bug happen.
  • Investigate evidence: Inspect logs, stack traces, state, and recent changes to understand what is actually failing.
  • Trace and validate fixes: Form a hypothesis, test it, implement the real fix, verify the behavior, and add regression tests.
  • Use case: A login flow times out in production, and this Skill helps isolate whether the problem is caused by session handling, async timing, validation, or another upstream dependency.

Quick Start

Use the bug-hunter skill to reproduce the issue, identify the root cause, fix the bug, and add a regression test.

Frequently Asked Questions about bug-hunter

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

FAQPage Schema
How do I find the root cause of a software bug instead of guessing?

Bug fixing for production incidents involves reproducing the issue, inspecting logs and stack traces, tracing execution state, and validating the fix against the original failure conditions. This approach handles crashes, incorrect behavior, and intermittent defects across application codebases.

How do I fix intermittent application crashes that are hard to reproduce?

Intermittent defects require clarifying exact steps, environment, and triggers to reproduce the issue reliably. Once reproduced, investigate evidence from logs, stack traces, and state to understand what is actually failing before implementing a fix.

What is the best way to prevent fixed software defects from recurring?

Preventing recurrence requires creating regression tests after implementing and validating a fix. Trace the execution, apply the real fix, verify the behavior changes, and add regression tests to ensure the defect cannot reappear under the same conditions.

Does this debugging approach work for production incidents and application crashes?

Yes, this approach applies to production incidents, crashes, incorrect behavior, and intermittent defects across application codebases. It requires reproducing failures, inspecting evidence, and validating fixes before deployment.

How do I troubleshoot a login flow that times out in production?

Troubleshooting a login timeout involves reproducing the issue and isolating whether the cause is session handling, async timing, validation, or an upstream dependency. Investigate evidence from logs and state to identify the actual failure point.

What are the limitations of evidence-driven debugging for software defects?

Evidence-driven debugging relies on reproducing failures and accessing logs, stack traces, and state. Without reproducible steps or available evidence, forming and validating fix hypotheses becomes significantly more difficult.