vibeflow-analyze

Analyze codebases to create a persistent .vibeflow/ knowledge base.

29|2|Updated Mar 3, 2026
One-click install
npx skills add https://github.com/pe-menezes/vibeflow --skill vibeflow-analyze
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: vibeflow-analyze
Source: https://github.com/pe-menezes/vibeflow/tree/main/cursor/skills/vibeflow-analyze
Command: npx skills add https://github.com/pe-menezes/vibeflow --skill vibeflow-analyze

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the process of understanding a codebase's architecture, patterns, and conventions, creating a persistent knowledge base that guides future development and AI assistance.

Core Features & Use Cases

  • Codebase Analysis: Deeply scans code to identify languages, frameworks, project structure, and architectural patterns.
  • Knowledge Base Creation: Generates and maintains a .vibeflow/ directory containing documentation on patterns, conventions, and key files.
  • Incremental Updates: Efficiently updates the knowledge base by analyzing only changed files since the last run, leveraging Git.
  • Scoped & Satellite Analysis: Allows deep dives into specific modules or analysis of external dependency repositories.
  • Use Case: When onboarding a new developer or starting a new feature, run this Skill to quickly get a comprehensive understanding of the project's established patterns and conventions, ensuring consistency and reducing errors.

Quick Start

Run the vibeflow-analyze skill to deeply analyze the current codebase and generate a knowledge base.

Frequently Asked Questions about vibeflow-analyze

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

FAQPage Schema
How do I automate codebase analysis to discover architecture and patterns?

Automate codebase analysis by deeply scanning code to identify languages, frameworks, project structure, and architectural patterns. This process generates a persistent `.vibeflow/` knowledge base containing structured documentation on conventions, pitfalls, and key files for future reference.

What is the best way to document codebase conventions for AI coding assistants?

Document codebase conventions for AI coding assistants by generating a persistent `.vibeflow/` directory. This knowledge base provides structured documentation on patterns and architecture, enabling AI agents to understand the project's established conventions and reduce errors.

Can I perform incremental code analysis on changed files using Git?

Yes, you can perform incremental code analysis using Git. The tool efficiently updates the knowledge base by detecting changes and analyzing only the files modified since the last run, ensuring the `.vibeflow/` directory stays current without rescanning the entire codebase.

Does this tool support scoped deep-dives and external dependency repository analysis?

Yes, the tool supports scoped deep-dives into specific modules and satellite repository analysis. This allows you to target specific areas of your codebase or analyze external dependency repositories to comprehensively map patterns and conventions.

When do I need to generate a persistent knowledge base for my codebase?

You need to generate a persistent knowledge base when onboarding new developers or starting new features. It provides a comprehensive understanding of the project's established patterns, conventions, and pitfalls, ensuring consistency and reducing errors across the team.