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gitnexus-debugging

Trace error symptoms to execution flows and call context in GitNexus-indexed codebases.

161|2|Updated May 7, 2026
Search Tags:#debugging#root cause analysis#code navigation#call graph#error tracing#graph queries#GitHub workflow
One-click install
npx skills add https://github.com/mirkobozzetto/flowflow --skill gitnexus-debugging-mirkobozzetto
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: gitnexus-debugging
Source: https://github.com/mirkobozzetto/flowflow/tree/main/.agents/skills/gitnexus/gitnexus-debugging
Command: npx skills add https://github.com/mirkobozzetto/flowflow --skill gitnexus-debugging-mirkobozzetto

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It helps you understand why a bug or error is happening by mapping a failure symptom to the exact code execution flow and related call context, so you can quickly locate the root cause.

Core Features & Use Cases

  • Flow-first investigation: start from an error message or symptom and discover the related execution flows using gitnexus_query
  • Caller/callee context: identify where functions are invoked and what they call using gitnexus_context
  • Execution flow tracing: trace through process and optionally run custom graph queries with gitnexus_cypher, including guidance for when the index is stale
  • Use cases: investigate 500s, trace unexpected behavior, determine who calls a failing method, and diagnose intermittent failures

Quick Start

Use gitnexus-debugging by asking the AI: Trace this error from the message "<paste error text>" to identify the suspect function and the execution flow leading to the failure.

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 code execution flow from an error message to find the root cause?▼

You can trace a code execution flow by mapping a failure symptom to related execution flows using graph queries. This approach identifies the exact caller and callee context to help you quickly locate the root cause of unexpected software failures.

How does call graph error tracing work for intermittent issues and performance regressions?▼

Call graph error tracing works by mapping an error symptom to underlying graph paths and execution flows. It diagnoses intermittent issues and performance regressions by identifying where failing functions are invoked and what they call within the codebase.

Can I use custom graph queries for code navigation when debugging unexpected return values?▼

Yes, you can use custom graph queries for code navigation to trace unexpected return values. This allows you to map the failure symptom to the specific execution flow and caller context that produced the incorrect output.

What should I do if the codebase index is stale during root cause analysis?▼

If the codebase index is stale during root cause analysis, you should run an analyze command to refresh it. A current index is required to accurately trace execution flows and graph paths from error symptoms to the root cause.

Do I need an instrumented codebase indexed by GitNexus to investigate 500 errors?▼

Yes, you need an instrumented codebase indexed by GitNexus to investigate 500 errors. The indexing enables the graph queries and execution flow tracing required to map the error symptom back to the failing function and its callers.

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