graph-context

Query knowledge graphs to answer structural and relational project queries.

2|1|Updated Apr 3, 2026
One-click install
npx skills add https://github.com/r3dlex/oh-my-auggie --skill graph-context
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: graph-context
Source: https://github.com/r3dlex/oh-my-auggie/tree/main/plugins/oma/skills/graph-context
Command: npx skills add https://github.com/r3dlex/oh-my-auggie --skill graph-context

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill reduces the need to manually scan and read raw source files by loading project context from pre-built knowledge graphs.

Core Features & Use Cases

  • Knowledge Graph Integration: Loads project overview and structure from graph providers like graphwiki or graphify.
  • Targeted Queries: Allows users to ask specific questions about code relationships, module connections, or project status using graph commands.
  • Use Case: A developer wants to quickly understand how two modules are connected or verify the consistency of a codebase; they ask relevant graph queries to retrieve structured answers.

Quick Start

Use the graph-context skill to load project knowledge from existing graphs and execute questions about code structure.

Frequently Asked Questions about graph-context

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

FAQPage Schema
How do I analyze code structure and module relationships without scanning raw files?

You can analyze code structure by loading project context from pre-built knowledge graphs. This allows you to execute targeted graph queries to retrieve structured answers about module connections, eliminating the need for manual raw source file scanning.

What is a knowledge graph for project comprehension in software engineering?

A knowledge graph for project comprehension is a structured representation of code relationships. It allows developers to query structural and relational data directly, bypassing raw file scans to get rapid insights into project overview and module connections.

Can I use knowledge graph queries to verify project integrity in large codebases?

Yes, you can use knowledge graph queries to verify project integrity in large codebases. The system supports specific questions about code relationships and consistency, retrieving structured answers with minimal raw file access.

How do I query how two modules are connected in a software project?

To find how two modules are connected, you load existing project knowledge from graph providers and ask relevant graph queries. The system retrieves structured answers about code relationships without requiring you to manually read source files.

Do I need a pre-built graph provider to use knowledge graphs for project analysis?

Yes, you need a pre-built graph provider like graphwiki or graphify. The system loads the project overview and structure from these existing graphs to answer your targeted structural and relational queries.

What are the limitations of using knowledge graphs for code structure analysis?

The main limitation is the dependency on pre-built knowledge graphs from external providers. If the project structure changes, the graph must be updated to ensure accurate structural and relational queries and project integrity verification.