gitnexus-debugging

Trace bugs in a knowledge graph-enabled codebase to identify error origins and affected components.

Updated Apr 10, 2026
One-click install
npx skills add https://github.com/majedsiefalnasr/bunyan-app-cursor --skill gitnexus-debugging-majedsiefalnasr
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: gitnexus-debugging
Source: https://github.com/majedsiefalnasr/bunyan-app-cursor/tree/main/.agents/skills/gitnexus-debugging
Command: npx skills add https://github.com/majedsiefalnasr/bunyan-app-cursor --skill gitnexus-debugging-majedsiefalnasr

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

GitNexus Debugging helps developers quickly identify the root cause of bugs by querying a knowledge-graph to trace error origins and affected symbols.

Core Features & Use Cases

  • Reproduce: Understand the error message and behavior to establish a reliable failure scenario.
  • Locate: Use GitNexus to find relevant symbols, functions, and modules involved in the issue.
  • Trace: Follow the execution path from input to failure to reveal data flow and dependencies.
  • Diagnose: Identify root cause and contributing factors with evidence from the graph.
  • Report: Present findings with traceable evidence for faster remediation and communication.

Quick Start

Ask GitNexus to reproduce the error, locate relevant symbols, and trace the execution path to diagnose the root cause.

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 a bug from a controller to the database?

Trace the root cause of a bug by following the execution path and data flow from controller to service to database. This approach locates relevant symbols and identifies the error origin with deterministic traceability and evidence-backed diagnosis.

What is the best way to find affected components when reproducing an error?

Find affected components when reproducing an error by querying a knowledge graph to locate relevant symbols, functions, and modules. This reveals data flow dependencies and pinpoints contributing factors with clear error reporting.

How does a knowledge graph help with root-cause diagnosis in a codebase?

A knowledge graph enables root-cause diagnosis by mapping symbols and execution paths within a codebase. It provides deterministic traceability to follow data flow from input to failure, yielding evidence-backed root-cause identification.

Can I reproduce an error scenario and locate the failing module at the same time?

You can reproduce an error scenario and locate the failing module simultaneously by understanding the error behavior and querying the knowledge graph for relevant symbols. This traces the data flow to reveal dependencies and diagnose the root cause.

Does knowledge-graph debugging work without setting up specific traceability dependencies?

Knowledge-graph debugging operates with no external dependencies to provide deterministic traceability. It directly queries the codebase graph to trace execution paths and identify error origins without requiring additional setup.

Why should I use knowledge graph tracing instead of manual code inspection for debugging?

Knowledge graph tracing provides deterministic traceability and evidence-backed root-cause diagnosis, unlike manual code inspection. It systematically follows data flow from controller to database to locate relevant symbols and report findings faster.