gitnexus-guide

Guide GitNexus MCP tool selection and knowledge-graph querying for code tasks.

15|2|Updated May 23, 2026
One-click install
npx skills add https://github.com/VKirill/antigravity-for-claude-code --skill gitnexus-guide-vkirill
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: gitnexus-guide
Source: https://github.com/VKirill/antigravity-for-claude-code/tree/main/skills/gitnexus-guide
Command: npx skills add https://github.com/VKirill/antigravity-for-claude-code --skill gitnexus-guide-vkirill

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps you quickly find the right GitNexus MCP tool, resource, or knowledge-graph query approach so you can understand and act on a codebase without guessing or wasting time.

Core Features & Use Cases

  • Tool routing for common workflows: Maps typical tasks (architecture, blast radius, debugging, refactoring) to the correct GitNexus skills.
  • Fast access to MCP capabilities: Provides a reference for GitNexus MCP tools like query, context, impact, detect_changes, rename, cypher, and list_repos.
  • Graph schema awareness: Documents node types and relationship types so you can write and interpret knowledge-graph queries effectively, including execution-flow tracing.

Quick Start

Ask the AI a GitNexus question about tooling or schema (for example, “What tools should I use to trace impact and check code context?”) and then follow the listed resources to start with gitnexus://repo/{name}/context.

Frequently Asked Questions about gitnexus-guide

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

FAQPage Schema
How do I use a knowledge graph for code impact analysis?

Code impact analysis with a knowledge graph involves querying node and relationship schemas to trace blast radius. You map refactoring tasks to specific tools that retrieve execution-flow context and detect downstream changes.

What is the best way to write Cypher queries for code intelligence?

Writing Cypher queries for code intelligence requires graph schema awareness of node and relationship types. You reference documented schema endpoints to construct queries that trace execution flow and retrieve symbol context accurately.

How do I trace execution flow and check code context in a knowledge graph?

Tracing execution flow and checking code context starts by retrieving repository context resources. You then route the task to query and impact tools to map architecture dependencies and assess blast radius effectively.

Can I use MCP tools to assist with codebase refactoring and renaming?

MCP tools support codebase refactoring by providing detect_changes and rename endpoints. You use these alongside context retrieval tools to evaluate blast radius and execute symbol renames safely across the knowledge graph.

When do I need graph schema awareness for code debugging tasks?

Graph schema awareness is needed for code debugging when you must interpret complex execution-flow paths. Understanding node and relationship types lets you construct targeted queries that reveal root causes and dependency chains.