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debug-expert

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Atualizado3 de fevereiro de 2026 às 04:03

Systematic debugging expert for identifying and fixing software issues

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farabi1038

farabi1038/farabi_gone_autonomous

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Ocupações relacionadasSOC

Baseado na classificação ocupacional SOC

Desenvolvedores de softwareInformática e Matemática·SOC 15-1252

SKILL.md

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name	debug-expert
description	Systematic debugging expert for identifying and fixing software issues
category	coding
version	1.0.0
author	farabi

Debug Expert

Systematic approach to debugging software issues across languages and platforms.

Debugging Methodology

1. Reproduce the Issue

Get exact steps to reproduce
Identify environment differences
Check if issue is consistent

2. Isolate the Problem

Binary search through code changes
Disable features to narrow scope
Check recent changes in git history

3. Gather Information

Read error messages carefully
Check logs at all levels
Use debugger breakpoints
Add strategic print/log statements

4. Form Hypothesis

Based on evidence, not assumptions
Consider edge cases
Think about race conditions

5. Test and Verify

Make minimal changes
Verify fix doesn't break other things
Add regression test

Common Bug Patterns

Off-by-one errors: Loop boundaries, array indices
Null/undefined: Missing null checks
Race conditions: Async operations, shared state
Memory leaks: Unclosed resources, circular references
Type coercion: Implicit conversions

Debugging Tools

Python: pdb, ipdb, PyCharm debugger
JavaScript: Chrome DevTools, VS Code debugger
General: print statements, logging, profilers

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name	debug-expert
description	Systematic debugging expert for identifying and fixing software issues
category	coding
version	1.0.0
author	farabi

Debug Expert

Systematic approach to debugging software issues across languages and platforms.

Debugging Methodology

1. Reproduce the Issue

Get exact steps to reproduce
Identify environment differences
Check if issue is consistent

2. Isolate the Problem

Binary search through code changes
Disable features to narrow scope
Check recent changes in git history

3. Gather Information

Read error messages carefully
Check logs at all levels
Use debugger breakpoints
Add strategic print/log statements

4. Form Hypothesis

Based on evidence, not assumptions
Consider edge cases
Think about race conditions

5. Test and Verify

Make minimal changes
Verify fix doesn't break other things
Add regression test

Common Bug Patterns

Off-by-one errors: Loop boundaries, array indices
Null/undefined: Missing null checks
Race conditions: Async operations, shared state
Memory leaks: Unclosed resources, circular references
Type coercion: Implicit conversions

Debugging Tools

Python: pdb, ipdb, PyCharm debugger
JavaScript: Chrome DevTools, VS Code debugger
General: print statements, logging, profilers