gitnexus-exploring

Map user questions to indexed repository context and execution-flow processes.

1|Updated May 26, 2026
One-click install
npx skills add https://github.com/Leonardo-Corte/local-social-smm-agent --skill gitnexus-exploring-leonardo-corte
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: gitnexus-exploring
Source: https://github.com/Leonardo-Corte/local-social-smm-agent/tree/main/reference/github-agent-orchestration/maestro/.claude/skills/gitnexus/gitnexus-exploring
Command: npx skills add https://github.com/Leonardo-Corte/local-social-smm-agent --skill gitnexus-exploring-leonardo-corte

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It helps you understand unfamiliar or complex codebases by turning high-level questions into navigable execution flows and symbol-level context.

Core Features & Use Cases

  • Codebase discovery: Locate relevant indexed resources for a repository to understand what exists and how it’s organized.
  • Execution-flow tracing: Find processes related to a concept and trace step-by-step runtime paths.
  • Deep symbol context: Get an incoming/outgoing call perspective for a specific symbol to see how it fits into the system.

Quick Start

Ask the AI to explore how a specific feature works by running the GitNexus flow for repo context, then querying for the feature, then tracing the returned process for a full execution trace.

Frequently Asked Questions about gitnexus-exploring

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

FAQPage Schema
How do I trace code execution paths in an unfamiliar codebase?

Execution-flow tracing works by finding processes related to a concept and mapping user questions to indexed repository context to trace step-by-step runtime paths. This approach targets specific subsystems like authentication or database logic to locate relevant components.

What is the best way to understand codebase architecture without reading every file?

Understanding codebase architecture without reading every file involves mapping high-level questions to indexed repository context and symbol-level relationships. This method reveals how specific symbols fit into the system by providing incoming and outgoing call perspectives.

How can I locate relevant components for specific subsystems like database logic?

You can locate relevant components for subsystems like database logic by querying indexed repository context for the feature. The discovery process maps user questions to execution-flow processes and symbol-level call relationships to pinpoint the exact components.

Do I need a pre-indexed repository to explore codebase execution flows?

Yes, exploring codebase execution flows requires a pre-indexed repository to map user questions to context and symbol relationships. The process uses gitnexus_query and gitnexus_context to drive discovery and deep dives when the index is stale.

Can I trace incoming and outgoing calls for a specific symbol?

Yes, you can trace incoming and outgoing calls for a specific symbol to see how it fits into the overall system. This deep symbol context perspective is achieved by mapping indexed repository context to symbol-level call relationships.

What should I do if the repository index is stale during codebase exploration?

When the repository index is stale during codebase exploration, use gitnexus_query and gitnexus_context commands to drive discovery and perform deep dives. These tools refresh the mapping between user questions and the execution-flow processes.