project-understanding

Analyze codebases to map architecture, dependencies, and data flows.

Updated Apr 12, 2026

Search Tags:#architecture #documentation #onboarding #codebase #dependencies #complexity #analyze

Ready to run

npx skills add https://github.com/gil00pita/lanify --skill project-understanding-gil00pita

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: project-understanding
Source: https://github.com/gil00pita/lanify/tree/main/.agents/skills/project-understanding
Command: npx skills add https://github.com/gil00pita/lanify --skill project-understanding-gil00pita

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Analyzes codebases to map architecture, dependencies, complexity metrics, and data flows to accelerate onboarding and documentation.

Core Features & Use Cases

Directory Structure Analysis: Identify layout, entry points, and key modules.
Dependency & Architecture Mapping: Generate dependency graphs and architectural boundaries.
Complexity & Data Flow Metrics: Compute cyclomatic and cognitive complexity, data paths, and risk areas.
Documentation Generation: Produce onboarding-ready summaries and references for new contributors.

Quick Start

Summarize the repository to generate an onboarding-friendly documentation draft.

Frequently Asked Questions about project-understanding

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

FAQPage Schema

How do I generate onboarding documentation for a complex codebase?▼

To generate onboarding documentation for a codebase, you analyze directory structures, map dependencies, and compute complexity metrics. This produces structured summaries, dependency graphs, and architecture mappings ready for new contributors.

Can I analyze a monorepo to map architecture and data flows?▼

Yes, you can analyze a monorepo to map architecture and data flows. The process identifies layout, entry points, and key modules to generate architectural boundaries and trace data paths across diverse project types.

What is the best way to assess codebase complexity for risk areas?▼

Assessing codebase complexity for risk areas involves computing cyclomatic and cognitive complexity alongside data path metrics. This approach quantifies structural risk and highlights complex modules within the codebase.

Does this approach work with libraries and apps or only monorepos?▼

This codebase analysis approach works with diverse projects including libraries, apps, and monorepos. It adapts to map layout, identify entry points, and analyze dependencies across different software architectures.

How do I create a dependency graph for a new software project?▼

Creating a dependency graph for a software project requires analyzing the codebase to map module dependencies and architectural boundaries. The resulting graph visualizes relationships and highlights structural connections.

Why do I need to map architectural boundaries during codebase onboarding?▼

Mapping architectural boundaries during codebase onboarding clarifies module separation and data flows. It accelerates understanding by providing structured summaries and measurable complexity metrics for new contributors.