Agent skill

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. 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.

Jeffallangithub.com/JeffallanGitHub ↗
claude-codeMIT
Install
npx skills add Jeffallan/claude-skills --skill debugging-wizard --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 6
SKILL.md size: 4 KB
Bundled scripts: none
Version: 1.1.0
Declared author: https://github.com/Jeffallan
Path: skills/debugging-wizard/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 10,871 · +100 this week
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# 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

What's inside
Steps it walks through
  1. Core Workflow
  2. Reference Guide
  3. Constraints
  4. MUST DO
  5. MUST NOT DO
  6. Common Debugging Commands
  7. Output Templates
Ships with 5 files
  • references/common-patterns.md
  • references/debugging-tools.md
  • references/quick-fixes.md
  • references/strategies.md
  • references/systematic-debugging.md
Commands it runs
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
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
More from claude-skills
All skills →
About this skill
What does the debugging-wizard skill do?

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.

How do I install it?

Run `npx skills add Jeffallan/claude-skills --skill debugging-wizard --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From Jeffallan/claude-skills, a repository with 10,871 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going