Bug Detective
When something breaks and you're staring at a stack trace, this gives you a structured debugging workflow instead of random printf statements. It walks through the scientific method for bugs: understand the problem, gather evidence, form hypotheses, verify them, then fix. Includes common error patterns for Python, JavaScript, and notably a solid section on Bash gotchas like spacing issues, quoting problems, and subshell variable scope traps. The checklist format keeps you methodical when you're tired and just want the damn thing to work. Think of it as a debugging protocol that stops you from thrashing around and helps you actually isolate the issue.
- skills.sh installs
- 412
- GitHub stars
- 6K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add galaxy-dawn/claude-scholar --skill bug-detective --agent claude-codeInstalls into .claude/skills of the current project.
Files
Bug Detective
A systematic debugging workflow for investigating and resolving code errors, exceptions, and failures. Provides structured debugging methods and common error pattern recognition.
Core Philosophy
Debugging is a scientific problem-solving process that requires:
- Understand the problem - Clearly define symptoms and expected behavior
- Gather evidence - Collect error messages, logs, stack traces
- Form hypotheses - Infer possible causes based on evidence
- Verify hypotheses - Confirm or eliminate causes through experiments
- Resolve the issue - Apply fixes and verify
Debugging Workflow
Step 1: Understand the Problem
Before starting to debug, clarify the following information:
Required information to collect:
- Complete error message content
- Exact location of the error (filename and line number)
- Reproduction steps (how to trigger the error)
- Expected behavior vs actual behavior
- Environment info (OS, versions, dependencies)
Sponsors
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- Repository
- github.com/galaxy-dawn/claude-scholar
- Categories
- Git & Pull Requests, Debugging, Automation & Workflows
- First seen
- Jun 3, 2026
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