debugger

Diagnose software errors and test failures by analyzing stack traces and code changes.

1|1|Updated Aug 5, 2025

Search Tags:#code analysis #debugging #troubleshooting #bug fixing #error resolution

Ready to run

npx skills add https://github.com/slantview/claude --skill debugger-slantview

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: debugger
Source: https://github.com/slantview/claude/tree/main/skills/debugger
Command: npx skills add https://github.com/slantview/claude --skill debugger-slantview

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps identify and fix errors, test failures, and unexpected behavior in code or processes, ensuring smoother operation and reliable outcomes.

Core Features & Use Cases

Root Cause Analysis: Pinpoints the origin of issues by analyzing error messages, logs, and code changes.
Solution Implementation: Provides specific code fixes and verifies their effectiveness.
Prevention Recommendations: Offers advice to avoid similar issues in the future.
Use Case: When a critical test fails in your CI/CD pipeline, invoke the debugger to quickly diagnose the failure, implement a fix, and get your pipeline back on track.

Quick Start

Use the debugger skill to analyze the recent test failures and provide a fix.

Frequently Asked Questions about debugger

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

FAQPage Schema

How do I diagnose and fix software errors using stack traces and code changes?▼

Debugging resolves software errors by analyzing error messages, stack traces, and code changes to pinpoint root causes. It applies systematic hypothesis testing and code modification to implement verifiable solutions for failures and unexpected behavior.

What is the best way to troubleshoot a failing test in a CI/CD pipeline?▼

Troubleshooting a failing test in a CI/CD pipeline involves analyzing error messages and logs to perform root cause analysis. Once identified, you implement a specific code fix and verify its effectiveness to get the pipeline back on track.

How do I identify the root cause of unexpected behavior in my code?▼

Root cause analysis identifies the origin of unexpected behavior by examining error messages, logs, and recent code changes. This systematic approach isolates the underlying issue so you can apply a targeted and verifiable software fix.

Can I use this approach to resolve production incidents and automated test failures?▼

Yes, this debugging approach applies to development workflows, production incidents, and automated test suites. It systematically diagnoses unexpected behavior across these environments by analyzing errors and verifying implemented code modifications.

How do I prevent similar code errors and test failures in the future?▼

To prevent similar code errors and test failures, apply prevention recommendations after resolving the current issue. This involves analyzing the root cause of the bug and implementing specific code modifications and proactive safeguards.