gitnexus-debugging

Trace and diagnose code bugs by querying call graphs and execution flows.

Updated May 3, 2026
One-click install
npx skills add https://github.com/jreakin/jre-vidget --skill gitnexus-debugging-jreakin
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: gitnexus-debugging
Source: https://github.com/jreakin/jre-vidget/tree/main/.claude/skills/gitnexus/gitnexus-debugging
Command: npx skills add https://github.com/jreakin/jre-vidget --skill gitnexus-debugging-jreakin

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Debugging insights and traceability for code bugs by surfacing execution flows and caller/callee relationships to speed root-cause analysis.

Core Features & Use Cases

  • Trace execution flow: See how a request moves through the system and where it fails.
  • Contextual debugging: Identify suspects, calls, and data flow with quick context.
  • Root-cause investigation: Trace from symptom to source using gitnexus_query, gitnexus_context, and visual READ-like traces.

Quick Start

Analyze a failing endpoint by querying for the error and retrieving surrounding call context.

Frequently Asked Questions about gitnexus-debugging

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

FAQPage Schema
How do I trace a bug through function calls to find the root cause?

To trace a bug through function calls, you query the execution flow and call graph to identify caller/callee relationships. This surfaces the exact execution path from symptom to source, enabling quick root-cause analysis for unexpected behavior.

How does call graph analysis help with debugging errors?

Call graph analysis helps debugging errors by mapping caller and callee relationships across your code. It reveals how requests move through the system and pinpoints exactly where failures occur within complex execution flows.

What's the best way to debug unexpected behavior across an execution flow?

The best way to debug unexpected behavior across an execution flow is retrieving surrounding call context for failing endpoints. Querying execution traces isolates suspects, data flow, and the exact function call triggering the failure.

Can I diagnose a failing endpoint by querying its surrounding call context?

Yes, you can diagnose a failing endpoint by querying for the error and retrieving surrounding call context. This applies contextual debugging to identify suspects, calls, and data flow, accelerating investigation into unexpected behavior.

Do I need a specific environment to trace execution flows for code bugs?

Tracing execution flows for code bugs requires an environment supporting query and context retrieval. Without dependencies restricting it, the analysis applies directly to your codebase to surface caller/callee relationships and pinpoint failures.