gitnexus-debugging

Name: gitnexus-debugging
Availability: InStock
Author: xtrm-dev

Trace execution paths and callers to identify root causes of code failures.

4|1|Updated Nov 1, 2025

Search Tags:#debugging #tracing #root-cause #error-analysis #call-chain #gitnexus

Ready to run

npx skills add https://github.com/xtrm-dev/specialists --skill gitnexus-debugging-xtrm-dev

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: gitnexus-debugging
Source: https://github.com/xtrm-dev/specialists/tree/main/.xtrm/skills/default/gitnexus-debugging
Command: npx skills add https://github.com/xtrm-dev/specialists --skill gitnexus-debugging-xtrm-dev

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

When software fails, it helps you move from a symptom to the likely source by tracing code paths, callers, callees, and related processes.

Core Features & Use Cases

Symptom-first investigation for error messages, unexpected behavior, and intermittent failures.
Context exploration to inspect incoming calls, outgoing calls, and execution flow around a suspect function.
Custom chain tracing with cypher queries when you need a more precise path through the codebase.
Useful for debugging 500 responses, wrong return values, performance hotspots, and regressions after a change.

Quick Start

Use the gitnexus-debugging skill to trace the reported error or unexpected behavior to the suspect function, inspect its callers and callees, and confirm the root cause in the source.

Frequently Asked Questions about gitnexus-debugging

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

FAQPage Schema

How do I trace an error message back to its root cause in source code?▼

To trace an error message to its root cause, identify the suspect function and inspect its incoming calls, outgoing calls, and execution flow. You then follow the callers and callees to confirm the source of the bug in the source code.

What's the best way to debug intermittent failures and performance regressions after a code change?▼

The best way to debug intermittent failures and performance regressions is symptom-first investigation. You explore the execution context around a suspect function and trace the related execution paths to find the recent code change causing the regression.

Can I use custom queries to trace a specific call chain through my codebase?▼

Yes, you can use custom cypher queries for precise call chain tracing. When you need a more exact path through the codebase, cypher tracing helps you follow callers, callees, and source evidence to confirm the root cause.

Does root-cause analysis for 500 responses require inspecting callers and callees?▼

Root-cause analysis for 500 responses requires inspecting callers and callees to understand the execution flow. By tracing the reported error to the suspect function and examining its context, you can confirm the exact source of the failure.

Why does tracing execution paths help fix wrong return values in software projects?▼

Tracing execution paths helps fix wrong return values by moving from the symptom to the likely source. By inspecting outgoing calls and following the call chain, you can identify where the incorrect data originates and confirm the root cause.

When should I not use symptom-first investigation for error analysis?▼

You should not rely solely on symptom-first investigation when you lack sufficient context or process information. Precise root-cause confirmation requires querying callers, callees, and source evidence, which may be incomplete for certain intermittent failures.