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gitnexus-debugging

Trace failing behavior to root causes using gitnexus queries and call-chain traces.

Updated Mar 5, 2026
Search Tags:#debugging#backend debugging#call graph#error tracing#gitnexus#performance investigation
One-click install
npx skills add https://github.com/truongnat/emplus --skill gitnexus-debugging-truongnat
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: gitnexus-debugging
Source: https://github.com/truongnat/emplus/tree/main/.claude/skills/gitnexus/gitnexus-debugging
Command: npx skills add https://github.com/truongnat/emplus --skill gitnexus-debugging-truongnat

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It helps you rapidly identify where an error originates and how execution flows from the point of failure to the underlying cause.

Core Features & Use Cases

  • Error and symptom-driven tracing: Start from an error message or unexpected behavior to locate related execution flows.
  • Call graph investigation: Use context to identify callers/callees and understand which symbols and processes are involved.
  • Execution-flow validation: Read traced process resources and optionally run custom queries when the call chain is not obvious.

Use Case: Your API endpoint sometimes returns 500 and logs are unclear; trace the error to the exact suspect function and the external dependency involved (such as a missing timeout on an outbound call).

Quick Start

Ask the AI to debug the issue by giving the error text or symptom, then request a trace to the suspect function and confirm the root cause by reading the relevant process flow.

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 API 500 error to its root cause using a call graph?▼

Backend debugging maps unexpected return values and intermittent failures to suspect code paths by correlating symptoms with execution flows. It identifies involved processes and symbols using context mapping and custom call-chain queries.

How do I debug a performance bottleneck in my backend code?▼

Debug a performance bottleneck by tracing the failing behavior back to its root cause. Use call graph investigation to map execution flows, read process resources, and run custom queries to validate the suspect code path.

Can I investigate recent regressions by tracing execution flows?▼

Yes, you can investigate recent regressions by tracing execution flows. Correlate the regressed behavior with suspect code paths, map callers and callees, and read process resources to confirm the exact origin.

What is the best way to find the suspect function responsible for an intermittent failure?▼

The best way to find the suspect function for an intermittent failure is using call graph investigation. Map the execution flow from the symptom, identify related symbols, and execute custom call-chain traces to pinpoint the origin.

Does error tracing work when the call chain is not obvious from the logs?▼

Error tracing works when the call chain is not obvious by running custom call-chain traces. It correlates unclear symptoms with execution flows and reads process resources to validate the failing behavior and external dependencies.

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