gitnexus-debugging

Trace runtime failures to execution flows and caller/callee relationships.

Updated Jul 5, 2025
One-click install
npx skills add https://github.com/nsuberi/ai-prototype-hub --skill gitnexus-debugging-nsuberi
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: gitnexus-debugging
Source: https://github.com/nsuberi/ai-prototype-hub/tree/main/.claude/skills/gitnexus/gitnexus-debugging
Command: npx skills add https://github.com/nsuberi/ai-prototype-hub --skill gitnexus-debugging-nsuberi

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It helps you quickly understand why a bug is happening by turning error symptoms into an execution-flow and caller/callee map you can follow to the underlying source.

Core Features & Use Cases

  • Execution-flow discovery: Find related processes and code symbols from an error message, stack hint, or observed symptom.
  • Call graph context: Identify who calls a suspect function and what it calls, including external dependencies that commonly cause failures.
  • Targeted tracing: Run custom query-based traces for specific call chains and use indexing maintenance when results are stale.

Quick Start

Tell the AI what you are seeing, such as “Trace this endpoint returning 500 and find the root cause,” then follow the suggested query/context steps it outputs.

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 runtime failure back to its root cause using a call graph?

You can trace runtime failures by mapping error symptoms to execution flows and caller/callee relationships, allowing you to follow the call graph directly to the underlying source code.

How do I find the callers and callees for a failing function in my codebase?

Finding callers and callees for a failing function requires mapping call graph relationships, including external dependencies that commonly trigger runtime failures.

What is the best way to map an endpoint returning 500 to its specific execution path?

Mapping an endpoint returning 500 to its execution path involves symptom-to-process mapping to identify related processes, code symbols, and step-level traces for the failing request.

Can I run custom path analysis for specific call chains when tracing errors?

Yes, you can run custom query-based path analysis for specific call chains by executing Cypher queries to trace targeted execution flows when standard results are insufficient.

Do I need Neo4j to perform custom path analysis on stack traces?

Performing custom path analysis on stack traces requires Neo4j, as the Skill uses Cypher queries against the underlying graph database for targeted execution flow tracing.

Why are my caller and callee results stale when debugging an error message?

Caller and callee results are stale during error debugging when the underlying graph index is outdated, requiring you to run indexing maintenance to refresh the execution flow data.