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ag-depurar-erro

Diagnose and fix bugs via root-cause analysis across UI, API, and data layers.

19|4|Updated Mar 7, 2026
Search Tags:#automation#debugging#troubleshooting#root-cause-analysis#development-tools#software-debugging#errors-log
One-click install
npx skills add https://github.com/andregusman-raiz/a-gusman-claude --skill ag-depurar-erro
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ag-depurar-erro
Source: https://github.com/andregusman-raiz/a-gusman-claude/tree/main/skills/ag-depurar-erro
Command: npx skills add https://github.com/andregusman-raiz/a-gusman-claude --skill ag-depurar-erro

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Este Skill facilita a identificação e correção de bugs ao aplicar uma análise de causa raiz abrangente, evitando retrabalho e falhas repetidas.

Core Features & Use Cases

  • Análise de causa raiz e diagnóstico multi-camadas para identificar causas independentes.
  • Documentação de erros e verificação de correções com registro em logs para deploy seguro.
  • Use Case: Equipe de Dev encontra um bug intermitente que aparece apenas em produção e resolve com uma rodada de verificações cruzadas.

Quick Start

Descreva o erro com contexto completo e inicie a depuração para realizar a análise de causa raiz.

Frequently Asked Questions about ag-depurar-erro

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I perform root-cause analysis for an intermittent bug that only appears in production?▼

Root-cause analysis for intermittent production bugs requires multi-layer diagnosis across UI, API, and data layers to identify independent causes. Providing full error context enables systematic troubleshooting and cross-verification to prevent repeated failures.

What is the best way to debug unexpected crashes across multiple system layers?▼

Debugging unexpected crashes across system layers requires multi-layer root-cause analysis to isolate independent causes. Investigating UI, API, and data layers simultaneously ensures comprehensive error documentation and safe deployment verification.

How do I document errors and verify fixes before deploying to production?▼

Document errors and verify fixes by generating root-cause documentation and running deployment verification checks. Logging error details and validating corrections ensures safe deployment and prevents bug recurrence across software systems.

Can I use automated troubleshooting for software projects with errors across UI and API layers?▼

Automated troubleshooting applies to software projects with errors, crashes, or unexpected behavior across UI and API layers. It performs root-cause analysis to diagnose multi-layer issues and satisfies error logging and verification requirements.

Why should I use root-cause analysis instead of just patching unexpected software behavior?▼

Root-cause analysis prevents repeated failures by investigating multi-layer independent causes rather than patching symptoms. It ensures comprehensive error logging and deployment verification, eliminating rework associated with superficial bug fixes.

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