How does it track down regressions?

The diff-analyzer component examines recent Git history and suspicious commits to identify exactly when and where a logic change may have introduced a new bug.

Can it analyze server logs and stack traces?

Yes, the log-analyzer agent is specifically designed to extract error patterns, identify frequencies, and correlate log data with specific code entry points.

What kind of final report does it generate?

It provides a structured markdown report including a summary of the root cause, the file/line location, a visual causal chain, and a recommended code fix.

How does the multi-agent system work?

It coordinates five specialized agents—problem-analyzer, codebase-investigator, root-cause-finder, diff-analyzer, and log-analyzer—to handle different aspects of a bug investigation simultaneously.

Is this skill useful for non-developers?

Yes, Product Managers and QA leads can use it to perform initial technical triage on reported issues before they reach the engineering team.

Issue Review Agent

Name: Issue Review Agent
Author: DennisLiuCk

byDennisLiuCk

Analíticas y Monitorización

Orchestrates a specialized multi-agent workflow to perform systematic root-cause analysis and debugging for software issues.

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Issue Review is a sophisticated diagnostic skill that automates the complex process of software troubleshooting. By coordinating five specialized AI agents—including log analyzers and Git history investigators—it moves from initial problem classification to deep codebase investigation. This skill is ideal for resolving production bugs, regressions, and elusive technical issues, providing developers with a complete causal chain, evidence-based root cause identification, and ready-to-implement fix recommendations.

Características Principales

Multi-agent orchestration using five specialized sub-agents
Intelligent log and stack trace pattern recognition
Causal chain mapping from symptoms to root cause
Structured reporting with high-confidence fix suggestions
Automated Git history analysis to track regression sources
0 GitHub stars

Casos de Uso

Analyzing user-reported issues with insufficient documentation
Investigating complex regression bugs after major code merges
Diagnosing critical production outages and server-side errors

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Características Principales

Multi-agent orchestration using five specialized sub-agents
Intelligent log and stack trace pattern recognition
Causal chain mapping from symptoms to root cause
Structured reporting with high-confidence fix suggestions
Automated Git history analysis to track regression sources
0 GitHub stars

Casos de Uso

Analyzing user-reported issues with insufficient documentation
Investigating complex regression bugs after major code merges
Diagnosing critical production outages and server-side errors