gitnexus-debugging

Trace application failures to execution flows and code symbols.

Updated May 26, 2026
One-click install
npx skills add https://github.com/anukkrit149/anukkrit-skills --skill gitnexus-debugging-anukkrit149
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: gitnexus-debugging
Source: https://github.com/anukkrit149/anukkrit-skills/tree/main/cloud/skills/gitnexus-debugging
Command: npx skills add https://github.com/anukkrit149/anukkrit-skills --skill gitnexus-debugging-anukkrit149

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Debugging failures becomes slow and guesswork-heavy when you cannot connect symptoms (errors, timeouts, wrong outputs) to the exact code paths and external dependencies causing them.

Core Features & Use Cases

  • Execution-flow discovery: Use gitnexus_query to find related processes and symbols tied to an error or symptom.
  • Call-chain and dependency tracing: Use gitnexus_context to identify callers/callees and pinpoint where the failure originates.
  • Deep path investigation: Read gitnexus://repo/{name}/process/{name} for step-by-step tracing and use gitnexus_cypher for custom graph queries.
  • Common use cases: intermittent 500s, wrong return values, regression investigation, performance hotspots, and verifying external API impact.

Quick Start

Tell the AI to trace the source of a failing endpoint error by first running a gitnexus_query on the exact error text and then using gitnexus_context on the most relevant suspect function.

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 intermittent 500 error back to its root cause in my code?

Execution-flow discovery connects error symptoms to exact code paths by querying error text to find related processes and symbols, then using caller and callee context to pinpoint the responsible execution flow.

What is the best way to investigate how an external API dependency impacts my failing service?

Investigating external API impact involves using graph queries and call-chain tracing to validate how external dependencies affect your services and confirm if they are the root cause of application failures.

How do I find the specific call chain responsible for a wrong return value or regression?

Find the call chain responsible for a wrong return value by executing a relevance query on the symptom, then using caller and callee context to trace the execution flow back to the originating code symbols.

Can I use custom graph queries to investigate performance hotspots and deep execution paths?

Yes, you can use custom Cypher-based graph queries to investigate performance hotspots and perform deep path investigation by reading process resources for step-by-step execution flow confirmation.

Does root cause analysis for bug reports require specialized graph database knowledge?

Root cause analysis for bug reports does not strictly require specialized graph database knowledge, as standard relevance discovery and context tracing can pinpoint failures, though custom Cypher graph queries are available for deeper investigation.