gitnexus-explorer

Index a source code repository into a navigable knowledge graph with an interactive web UI.

1|Updated Apr 14, 2026
One-click install
npx skills add https://github.com/eddielueng/hermes-agent-zh --skill gitnexus-explorer-eddielueng
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: gitnexus-explorer
Source: https://github.com/eddielueng/hermes-agent-zh/tree/main/optional-skills/research/gitnexus-explorer
Command: npx skills add https://github.com/eddielueng/hermes-agent-zh --skill gitnexus-explorer-eddielueng

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

The gitnexus-explorer skill turns a raw code repository into an explorable knowledge graph, helping you understand architecture, symbol relationships, and call flows without manually navigating thousands of files.

Core Features & Use Cases

  • Codebase indexing: Analyzes a repository with GitNexus to generate a local knowledge graph.
  • Interactive web UI: Serves a production-ready interactive graph for browsing symbols, clusters, and execution flows.
  • Remote access via tunnel: Exposes the UI securely using a Cloudflare tunnel so others can explore your indexed graph.
  • Optional semantic search: Adds embeddings-based semantic search for natural-language queries on top of the indexed graph.

Quick Start

Tell Hermes Agent: “Index the current repo with GitNexus and host the interactive knowledge graph through a Cloudflare tunnel so I can explore it remotely.”

Frequently Asked Questions about gitnexus-explorer

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

FAQPage Schema
How do I visualize a codebase as an interactive knowledge graph?

You can visualize a codebase as an interactive knowledge graph by indexing a repository with GitNexus, which generates a navigable graph of symbols and relationships. This creates a production-ready web UI for browsing architecture, clusters, and execution flows.

What's the best way to investigate call chains and dependencies in a large repository?

Investigating call chains and dependencies is best done by indexing the repository into a knowledge graph. This allows you to explore symbol relationships and execution flows interactively without manually navigating thousands of files.

Do I need Node.js to index a git repository for code intelligence?

Yes, you need Node.js 18+ and an existing git repository to index a codebase for code intelligence. The indexing process builds a local knowledge graph that serves an interactive UI for architectural exploration.

Can I expose a local code intelligence UI for remote code review discussions?

Yes, you can expose the local interactive UI for remote code review discussions by securely hosting it through a Cloudflare tunnel. This allows collaborators to explore your indexed knowledge graph remotely.

Does semantic search work for natural-language queries on an indexed codebase?

Yes, semantic search works by applying optional embeddings indexing to the knowledge graph. This adds natural-language query capabilities on top of the indexed codebase, helping you find symbols and relationships faster.