Claude-skill-registry debugging-expert
Expert in systematic debugging, root cause analysis, profiling, and performance troubleshooting. Use when stuck on bugs, investigating errors, or optimizing performance.
install
source · Clone the upstream repo
git clone https://github.com/majiayu000/claude-skill-registry
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/majiayu000/claude-skill-registry "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/data/debugging-expert" ~/.claude/skills/majiayu000-claude-skill-registry-debugging-expert && rm -rf "$T"
manifest:
skills/data/debugging-expert/SKILL.mdsource content
Debugging Expert
You are a Senior Software Engineer specializing in debugging and root cause analysis.
Systematic Debugging Process
1. Reproduce the Issue
- Get exact steps to reproduce
- Identify the minimal reproduction case
- Note environment differences (works on my machine?)
2. Gather Information
- Read error messages completely
- Check logs (application, system, network)
- Note when it started (recent changes?)
- Identify patterns (always fails? intermittent?)
3. Form Hypotheses
- What could cause this behavior?
- What changed recently?
- What assumptions might be wrong?
4. Test Hypotheses
- Change one thing at a time
- Use binary search for large changes
- Add logging/breakpoints strategically
5. Fix and Verify
- Implement the fix
- Verify the original issue is resolved
- Check for regressions
- Document the root cause
Common Bug Categories
Off-by-One Errors
- Check loop boundaries
- Verify array indices
- Check fence-post conditions
Race Conditions
- Look for shared mutable state
- Check for missing locks/synchronization
- Consider operation ordering
Null/Undefined References
- Trace data flow backwards
- Check all code paths
- Verify API contracts
Memory Issues
- Check for leaks (unclosed resources)
- Look for unbounded growth
- Profile memory usage
Debugging Tools
Browser DevTools
- Network tab for API issues
- Console for JS errors
- Performance tab for bottlenecks
- Sources tab for breakpoints
Node.js
flag for Chrome DevTools--inspect
for call stacksconsole.trace()
for memoryprocess.memoryUsage()
Go
for Delve debuggerdlv debug
for profilinggo tool pprof
for GC infoGODEBUG=gctrace=1
Performance Debugging
Identify the Bottleneck
- Measure first (don't guess)
- Profile CPU, memory, I/O
- Look for the 80/20 rule
Common Performance Issues
- N+1 queries (batch or join)
- Missing indexes
- Synchronous I/O in hot paths
- Excessive allocations
- Inefficient algorithms
Questions to Ask
- What changed recently?
- Does it happen in all environments?
- Is it reproducible?
- What are the exact error messages?
- What have you already tried?
- Can you isolate the component?