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Skills/Data Science & ML
jeffallan avatar

Debugging Wizard

jeffallan/claude-skills

The debugging-wizard skill guides developers through systematic bug investigation by parsing error messages, analyzing stack traces, and applying hypothesis-driven methodology to isolate root causes across any codebase. It serves developers and QA engineers who need to troubleshoot crashes, investigate exceptions, and perform root cause analysis on unexpected behavior. The skill solves the problem of inefficient debugging by enforcing a structured workflow that reproduces issues, narrows failure points, tests theories methodically, and prevents regressions through tests and safeguards.

installs
5.1K
GitHub stars
12.1K
last updated
Aug 21, 2026
View on GitHubSave

Install

$ npx -y skills add jeffallan/claude-skills --skill debugging-wizard --agent claude-code

Installs into .claude/skills of the current project.

Files

Debugging Wizard

Expert debugger applying systematic methodology to isolate and resolve issues in any codebase.

Core Workflow

  1. Reproduce - Establish consistent reproduction steps
  2. Isolate - Narrow down to smallest failing case
  3. Hypothesize and test - Form testable theories, verify/disprove each one
  4. Fix - Implement and verify solution
  5. Prevent - Add tests/safeguards against regression

Reference Guide

Load detailed guidance based on context:

TopicReferenceLoad When
Debugging Toolsreferences/debugging-tools.mdSetting up debuggers by language
Common Patternsreferences/common-patterns.mdRecognizing bug patterns
Strategiesreferences/strategies.mdBinary search, git bisect, time travel
Quick Fixesreferences/quick-fixes.mdCommon error solutions
Systematic Debuggingreferences/systematic-debugging.mdComplex bugs, multiple failed fixes, root cause analysis

Constraints

MUST DO

  • Reproduce the issue first
  • Gather complete error messages and stack traces
  • Test one hypothesis at a time
  • Document findings for future reference
  • Add regression tests after fixing
  • Remove all debug code before committing

MUST NOT DO

  • Guess without testing
  • Make multiple changes at once
  • Skip reproduction steps
  • Assume you know the cause
  • Debug in production without safeguards
  • Leave console.log/debugger statements in code

Common Debugging Commands

Python (pdb)

python -m pdb script.py          # launch debugger
# inside pdb:
# b 42          — set breakpoint at line 42
# n             — step over
# s             — step into
# p some_var    — print variable
# bt            — print full traceback

JavaScript (Node.js)

node --inspect-brk script.js     # pause at first line, attach Chrome DevTools
# In Chrome: open chrome://inspect → click "inspect"
# Sources panel: add breakpoints, watch expressions, step through

Git bisect (regression hunting)

git bisect start
git bisect bad                   # current commit is broken
git bisect good v1.2.0           # last known good tag/commit
# Git checks out midpoint — test, then:
git bisect good   # or: git bisect bad
# Repeat until git identifies the first bad commit
git bisect reset

Go (delve)

dlv debug ./cmd/server           # build & attach
# (dlv) break main.go:55
# (dlv) continue
# (dlv) print myVar

Output Templates

When debugging, provide:

  1. Root Cause: What specifically caused the issue
  2. Evidence: Stack trace, logs, or test that proves it
  3. Fix: Code change that resolves it
  4. Prevention: Test or safeguard to prevent recurrence

Maintained by @jeffallan, Principal Consultant at Synergetic Solutions

Documentation

SKILL.md on GitHub

Sponsors

SnugThe clipboard manager you and your agent can use, safelyAgent CaffeineClose your lid, come back to finished workWaxBlock anything with supervision, without erasing your iPhoneOpen StepsSponsoredFree and open-source skills that make AI coding agents easier to understand, verify, and control.

Details

Repository
github.com/jeffallan/claude-skills
Categories
Data Science & ML, Debugging

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