Debugging Strategies
When you're staring at a stack trace at 2 AM wondering why your code works locally but crashes in production, this skill walks you through systematic debugging instead of random console.log() hunting. It covers the scientific method for bug hunting, binary search techniques for isolating problems, and proper use of debuggers like Chrome DevTools, pdb, and Delve. The differential debugging approach is especially solid for those "works on my machine" situations where you methodically compare working vs broken environments. Less guesswork, more structured problem solving.
- skills.sh installs
- 13.9K
- GitHub stars
- 42.4K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add wshobson/agents --skill debugging-strategies --agent claude-codeInstalls into .claude/skills of the current project.
Files
Debugging Strategies
Transform debugging from frustrating guesswork into systematic problem-solving with proven strategies, powerful tools, and methodical approaches.
When to Use This Skill
- Tracking down elusive bugs
- Investigating performance issues
- Understanding unfamiliar codebases
- Debugging production issues
- Analyzing crash dumps and stack traces
- Profiling application performance
- Investigating memory leaks
- Debugging distributed systems
Core Principles
1. The Scientific Method
1. Observe: What's the actual behavior? 2. Hypothesize: What could be causing it? 3. Experiment: Test your hypothesis 4. Analyze: Did it prove/disprove your theory? 5. Repeat: Until you find the root cause
2. Debugging Mindset
Don't Assume:
- "It can't be X" - Yes it can
- "I didn't change Y" - Check anyway
- "It works on my machine" - Find out why
Do:
- Reproduce consistently
- Isolate the problem
- Keep detailed notes
- Question everything
- Take breaks when stuck
3. Rubber Duck Debugging
Explain your code and problem out loud (to a rubber duck, colleague, or yourself). Often reveals the issue.
Systematic Debugging Process
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- Repository
- github.com/wshobson/agents
- Category
- Debugging
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