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graphify

Analyze and visualize codebase dependencies using NetworkX directed graphs.

Updated May 18, 2026
Search Tags:#code analysis#question generation#codebase exploration#graph analysis#dependency visualization
One-click install
npx skills add https://github.com/lousy-agents/wisdom --skill graphify-lousy-agents
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: graphify
Source: https://github.com/lousy-agents/wisdom/tree/main/.agents/skills/graphify
Command: npx skills add https://github.com/lousy-agents/wisdom --skill graphify-lousy-agents

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires networkx, networkxviz, networkxviz_server, networkxviz_export, networkxviz_report, networkxviz_query, networkxviz_benchmark, networkxviz_inspect, networkxviz_diff, networkxviz_find_import_cycles, networkxviz_suggest_questions, networkxviz_god_nodes, networkxviz_surprising_connections, networkxviz_analyze, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill helps developers understand complex codebases by providing visualizations and analysis tools to identify dependencies, clusters, and unexpected connections.

Core Features & Use Cases

  • Dependency Analysis: Visualize and analyze the dependencies between different parts of a codebase.
  • Graph Visualization: Generate interactive graphs that represent the structure of a codebase.
  • Surprising Connections: Identify and visualize connections between code elements that may not be obvious.
  • Question Generation: Suggest questions that the graph is uniquely positioned to answer, aiding in understanding and verifying the codebase.
  • Benchmarking: Measure how much context the graph saves compared to a naive full-corpus approach.
  • Use Case: Consider a large codebase with multiple modules and complex relationships. Use this Skill to identify critical dependencies, find areas of the codebase that may need refactoring, and generate insightful questions to explore the codebase further.

Quick Start

Install the graphify skill and build a graph from the codebase using the 'graphify build' command.

Frequently Asked Questions about graphify

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

FAQPage Schema
How do I visualize codebase dependencies in a large project?▼

You can visualize codebase dependencies by building a directed graph with NetworkX, which maps module relationships and generates interactive visual representations of your code structure.

What is codebase graph analysis and how does it help with refactoring?▼

Codebase graph analysis maps dependencies and clusters within a project to identify critical structural connections, helping developers pinpoint areas that require refactoring and understand complex module relationships.

How do I find import cycles and unexpected connections in my codebase?▼

Finding import cycles and surprising connections involves querying your codebase dependency graph to detect hidden structural links and circular module references that may not be obvious from reading the code.

Can I analyze dependency graphs for complex codebases using Python?▼

Yes, you can analyze dependency graphs for complex codebases using Python libraries like NetworkX and networkxviz, which support creating, manipulating, and querying directed graphs at scale.

What's the best way to explore an unfamiliar codebase structure?▼

The best way to explore an unfamiliar codebase is to generate dependency visualizations and auto-suggested questions from a graph analysis, revealing critical clusters and structural relationships to guide your investigation.

Do I need NetworkX installed to perform codebase graph visualization?▼

Yes, you need NetworkX and related networkxviz libraries installed to build directed graphs, visualize codebase dependencies, and run analysis queries on your project structure.

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