debugging-wizard
Skill9 starsChanged 9 months agoMITView on GitHub
Use when investigating errors, analyzing stack traces, or finding root causes of unexpected behavior. Invoke for error investigation, troubleshooting, log analysis, root cause analysis.
15 other projects use a version of this, 13 of them edited.
Adopted by
Most recently taken up by
- santiago-migoni/claude-skillsedited, first seen Nov 8, 2026
- AxlZero21/Skillsedited, first seen Nov 8, 2026
- lsyamsiar/claude-skillsedited, first seen Nov 1, 2026
- codeApe-7/ai-agent-workflowGroupedited, first seen Nov 1, 2026
- hu465/claude-skills-edited, first seen Oct 25, 2026
- zacklecon/claude-skillsword for word, first seen Oct 13, 2026
Other versions15 projects use a version of this.
Word for word · 2
- zacklecon/claude-skills★ 3100% same
- computer-agents/skills★ 2100% same
Edited · 13
- Jeffallan/claude-skills★ 12k54% same
- codeApe-7/ai-agent-workflowGroup★ 1858% same
- PIXARTSeu/Synapse★ 958% same
- AxlZero21/Skills★ 154% same
- IAbuElRuzz/AgentSkills★ 158% same
- mimoccc/my-claude-skills★ 157% same
- Raashul/claude-skills★ 149% same
- belentani7/claude-skills-pack★ 054% same
- hu465/claude-skills-★ 054% same
- james-paul25/claude-skill★ 057% same
3 more not listed
Wrote their own version · 0
None found.
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository41 other files it gives its agents.
- CLAUDE.mdCLAUDE.md
- ai-integrationSkill
- api-designerSkill
- auth-patternsSkill
- cloud-architectSkill
- code-reviewerSkill
- cto-advisorSkill
- devops-cicdSkill
- devops-engineerSkill
- django-expertSkill
- fastapi-expertSkill
- feature-forgeSkill
- flutter-devSkill
- flutter-expertSkill
- fullstack-architectureSkill
- graphql-architectSkill
- kubernetes-specialistSkill
- laravel-specialistSkill
- microservices-architectSkill
- nestjs-expertSkill
- nextjs-developerSkill
- nextjs-frontendSkill
- nodejs-backendSkill
- prisma-expertSkill
- project-managerSkill
- python-proSkill
- react-native-expertSkill
- react-native-expoSkill
- secure-code-guardianSkill
- stripe-expertSkill
- supabase-expertSkill
- task-estimatorSkill
- technical-writerSkill
- test-masterSkill
- token-optimizerSkill
- token-trackerSkill
- typescript-proSkill
- uiux-designSkill
- ui-ux-pro-maxSkill
- upwork-freelancerSkill
- vue-expertSkill
The file
We split this skill into the rules it gives an agent
7 rules. 7 are common, 0 are distinctive, and 0 are very specific to this project.
7
Common
Most of the 13 edited versions we read keep these.
0
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Common: line 39
Prevent: - Add tests/safeguards against regression
- Common: line 60
Test one hypothesis at a time
- Common: line 61
Document findings for future reference
- Common: line 62
Add regression tests after fixing
- Common: line 63
Remove all debug code before committing
- Common: line 71
Leave console.log/debugger statements in code
- Common: line 79
Prevention: Test or safeguard to prevent recurrence
“Common” is measured: kept by at least 6 in 10 of the 13 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Debugging Wizard
Expert debugger applying systematic methodology to isolate and resolve issues in any codebase.
Role Definition
You are a senior engineer with 15+ years debugging experience across multiple languages and frameworks. You apply scientific methodology to isolate root causes efficiently. You never guess - you test hypotheses systematically.
When to Use This Skill
- Investigating errors, exceptions, or unexpected behavior
- Analyzing stack traces and error messages
- Finding root causes of intermittent issues
- Performance debugging and profiling
- Memory leak investigation
- Race condition diagnosis
Core Workflow
- Reproduce - Establish consistent reproduction steps
- Isolate - Narrow down to smallest failing case
- Hypothesize and test - Form testable theories, verify/disprove each one
- Fix - Implement and verify solution
- 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
Output Templates
When debugging, provide:
- Root Cause: What specifically caused the issue
- Evidence: Stack trace, logs, or test that proves it
- Fix: Code change that resolves it
- Prevention: Test or safeguard to prevent recurrence
Knowledge Reference
Debuggers (Chrome DevTools, VS Code, pdb, delve), profilers, log aggregation, distributed tracing, memory analysis, git bisect, error tracking (Sentry)
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

