gitnexus-debugging

Trace codebase call graphs to identify root causes of bugs.

Updated Dec 15, 2025
One-click install
npx skills add https://github.com/fpt-devteam/app-backtrack --skill gitnexus-debugging-fpt-devteam
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: gitnexus-debugging
Source: https://github.com/fpt-devteam/app-backtrack/tree/main/.agents/skills/gitnexus/gitnexus-debugging
Command: npx skills add https://github.com/fpt-devteam/app-backtrack --skill gitnexus-debugging-fpt-devteam

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

GitNexus helps developers quickly identify root causes of bugs by tracing error signals, visualizing call paths, and surfacing relevant context across software components.

Core Features & Use Cases

  • Trace execution flows using gitnexus_query to locate related processes and symbols.
  • Inspect caller/callee relationships with gitnexus_context to understand data and control flow.
  • Build custom traces with gitnexus_cypher to explore specific paths or hypotheses.
  • Use cases include debugging intermittent failures, tracing 500 errors, and validating complex call graphs.

Quick Start

Describe the root cause of a bug by running a query and following the traced call paths with GitNexus.

Frequently Asked Questions about gitnexus-debugging

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

FAQPage Schema
How do I trace the root cause of an error in my codebase?

To trace the root cause of an error, you can query execution flows and inspect caller/callee relationships to visualize call paths and surface relevant context across software components. This isolates the specific processes and symbols responsible for the bug.

What is the best way to debug intermittent failures across software components?

Debugging intermittent failures involves building custom traces to explore specific execution paths and validate hypotheses. By querying repository metadata, you map data and control flow to locate related processes causing the inconsistent behavior.

How do I inspect caller and callee relationships to understand control flow?

You inspect caller and callee relationships by applying structured codebase traces to understand data and control flow. This requires clear execution traces and access to repository metadata to accurately map interactions between components.

Can I build custom traces to explore specific execution paths in my repository?

Yes, you can build custom traces using graph queries to explore specific paths or hypotheses within your repository. This allows you to pinpoint related processes and symbols by directly querying repository metadata and execution flows.

What do I need to perform structured codebase traces for troubleshooting?

Performing structured codebase traces requires clear execution traces, access to repository metadata, and deterministic workflows for troubleshooting. These inputs ensure accurate identification of root causes by mapping data and control flow.

When should I not use codebase tracing for debugging?

Codebase tracing for debugging is not suitable when you lack clear execution traces or access to repository metadata. Without deterministic workflows and these required inputs, accurately isolating responsible components and identifying root causes is not possible.