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jmylchreest
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debug

Reproduce bugs with structured steps and evidence collection.

15|4|Updated Feb 3, 2026
Search Tags:#workflow#debugging#troubleshooting#code-analysis#mcp-tools#bug-tracking
One-click install
npx skills add https://github.com/jmylchreest/aide --skill debug-jmylchreest
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: debug
Source: https://github.com/jmylchreest/aide/tree/main/skills/debug
Command: npx skills add https://github.com/jmylchreest/aide --skill debug-jmylchreest

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Systematic debugging workflow that standardizes how teams identify, reproduce, and track bugs, reducing time to resolution.

Core Features & Use Cases

  • Structured reproduction steps to reliably reproduce issues across environments.
  • Integrated evidence collection and traceability to support root-cause analysis.
  • Reusable workflows for common debugging scenarios, with memory of context for faster triage.

Quick Start

Initiate a structured debugging session by documenting the issue, reproducing it with concrete steps, and collecting evidence for a fix.

Frequently Asked Questions about debug

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

FAQPage Schema
How do I structure a debugging workflow to reduce time to resolution?▼

You begin a structured debugging session by documenting the issue, reproducing it with concrete steps, and collecting evidence. This systematic workflow enforces evidence collection and traceability to reliably reproduce bugs across environments.

What is the best way to reproduce bugs reliably across different environments?▼

To reproduce bugs reliably across environments, you apply structured reproduction steps that document the issue and collect evidence. This standardized workflow ensures consistent issue triggering and supports faster triage using memory of context.

How does code analysis with MCP tools support root-cause analysis?▼

Integrated MCP tools support root-cause analysis by providing code search, references, and memory context during debugging. This evidence collection and traceability streamline identifying the underlying cause of bugs across codebases.

Can I use a systematic debugging workflow for edge-case issues in my codebase?▼

Yes, a systematic debugging workflow applies reusable steps and evidence collection to handle edge-case issues across codebases. Integrated MCP tools provide memory of context to triage and resolve complex environmental scenarios faster.

Why does troubleshooting fail without evidence collection and traceability?▼

Troubleshooting fails without evidence collection and traceability because identifying root causes requires concrete data. A structured debugging workflow enforces collecting traceable evidence during reproduction steps to support accurate bug tracking and resolution.

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