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debugging-wizard

Parses error messages, traces execution flow through stack traces, correlates log entries to identify failure points, and applies systematic hypothesis-driven methodology to isolate and resolve bugs

Install / Use

npx skills add Jeffallan/claude-skills --skill debugging-wizard

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

93/100

Supported Platforms

Universal

Our assessment of debugging-wizard

debugging-wizard scores 93/100 on our quality scale, 356th of 2,855 Development & Engineering skills we index (top 13%).

Its SKILL.md is 3.6 KB long, well organised into 21 sections with 4 code examples: a solid amount of guidance for an agent.

With 11,621 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
26/30
Structure
20/20
Description
15/15
Adoption
17/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated about 2 months ago, so debugging-wizard is actively maintained.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

debugging-wizard compared with similar skills

All 4 of these similar skills score higher than debugging-wizard; compare them before choosing.

SkillScoreStarsUpdatedFormat
debugging-wizard (this skill)by Jeffallan9311.6k51d agoSKILL.md
Agent-Reachby Panniantong10085.8k12d agoCLAUDE.md
ai-job-searchby MadsLorentzen10044.2ktodayCLAUDE.md
claude-howtoby luongnv8910041.7k1d agoCLAUDE.md
algorithmic-artby anthropics100177.9k5d agoSKILL.md

Frequently asked questions

How do I install debugging-wizard?
Run npx skills add Jeffallan/claude-skills --skill debugging-wizard. The install tabs above show the steps for each supported agent.
Which AI agents does debugging-wizard work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is debugging-wizard safe to use?
It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is debugging-wizard still maintained?
The repository was last updated about 2 months ago, so debugging-wizard is actively maintained.

name: debugging-wizard description: Parses error messages, traces execution flow through stack traces, correlates log entries to identify failure points, and applies systematic hypothesis-driven methodology to isolate and resolve bugs. Use when investigating errors, analyzing stack traces, finding root causes of unexpected behavior, troubleshooting crashes, or performing log analysis, error investigation, or root cause analysis. license: MIT metadata: author: https://github.com/Jeffallan version: "1.1.0" domain: quality triggers: debug, error, bug, exception, traceback, stack trace, troubleshoot, not working, crash, fix issue role: specialist scope: analysis output-format: analysis related-skills: test-master, fullstack-guardian, monitoring-expert

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:

<!-- Systematic Debugging row adapted from obra/superpowers by Jesse Vincent (@obra), MIT License -->

| Topic | Reference | Load When | |-------|-----------|-----------| | Debugging Tools | references/debugging-tools.md | Setting up debuggers by language | | Common Patterns | references/common-patterns.md | Recognizing bug patterns | | Strategies | references/strategies.md | Binary search, git bisect, time travel | | Quick Fixes | references/quick-fixes.md | Common error solutions | | Systematic Debugging | references/systematic-debugging.md | Complex 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

Documentation

Related Skills

View on GitHub
GitHub Stars11.6k
CategoryDevelopment
Updated1mo ago
Forks1.1k

Languages

Python

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions