Can this skill help with environment-specific issues?

Yes, it is specifically optimized for cases where code works in development but fails in production by using strategic tracing and pattern comparison.

Does this skill leave messy logs in my production code?

No, the skill uses a specific [DEBUG] prefix and is designed to automatically clean up all injected logs once the fix has been verified.

How does the skill handle persistent bugs that are hard to fix?

The skill tracks fix attempts and automatically escalates the issue to an architectural review after three unsuccessful tries to prevent repetitive strategies.

What triggers the debugging workflow?

You can trigger the skill using natural language commands such as 'debug issue', 'fix bug', 'investigate', or 'add debug logs'.

How does confidence scoring work during a debug session?

Findings with a confidence score of 70% or higher are reported as probable causes, while scores between 50-69% trigger a suggestion to add more logs for evidence.

Advanced Debugging Tools

Name: Advanced Debugging Tools
Author: adeonir

byadeonir

•

개발자 도구

Streamlines the bug resolution process through iterative investigation, strategic log injection, and automated cleanup.

The Advanced Debugging Tools skill provides an intelligent, iterative workflow for diagnosing and fixing complex software issues in AI-driven development. By utilizing confidence-based scoring and pattern comparison, it helps developers transition from vague bug reports to verified fixes while managing the entire debug log lifecycle. The skill features a built-in escalation path for persistent issues and ensures production code remains clean by automatically removing injected debug statements once a solution is confirmed, making it ideal for resolving silent errors or environment-specific failures.

주요 기능

014 GitHub stars

02Pattern comparison analysis to identify discrepancies between broken code and known-working examples.

03Intelligent confidence scoring system to prioritize probable root causes and suggest log placement.

04Strategic log injection using a standardized [DEBUG] prefix for easy identification and tracing.

05Iterative investigate-fix-verify loop with automatic escalation after three failed attempts.

06Automated cleanup of injected debug logs immediately after fixes are successfully verified.

사용 사례

01Investigating intermittent failures or 'works in dev but fails in prod' scenarios.

02Systematically diagnosing silent errors where unit tests pass but the application fails in runtime.

03Automating the lifecycle of debug logs to prevent sensitive data leaks or code clutter.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add adeonir/agent-skills (development)

For use in Claude.ai and ChatGPT

Download Skill