init

Analyze codebases, interview users, and generate AGENTS.md documentation.

Updated May 16, 2026
One-click install
npx skills add https://github.com/korchasa/flowai-plugins --skill init-korchasa
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: init
Source: https://github.com/korchasa/flowai-plugins/tree/main/plugins/flowai/skills/init
Command: npx skills add https://github.com/korchasa/flowai-plugins --skill init-korchasa

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill initializes AI agents for projects, handling both new and existing projects by analyzing, conducting interviews, and generating project documentation.

Core Features & Use Cases

  • Project Initialization: Analyze project codebase, interview users (new projects), and generate AGENTS.md file with all project rules and scaffolding.
  • Legacy Layout Collapse: Detects and collapses legacy three-file layouts into a single root AGENTS.md file for brownfield projects.
  • Documentation Generation: Generates documentation files like SRS, SDS, and tasks based on project analysis.

Quick Start

Use the init skill to analyze your project and generate project documentation.

Frequently Asked Questions about init

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

FAQPage Schema
How do I initialize an AI agent for an existing codebase?

To initialize an AI agent for an existing codebase, the skill analyzes the project files and generates an AGENTS.md file containing project rules and scaffolding without manual intervention. It collapses legacy layouts into a single root file.

What is the best way to generate project documentation from codebase analysis?

Generating project documentation from codebase analysis is done by evaluating the code and user interviews to produce files like SRS, SDS, and tasks. This process creates comprehensive documentation required for project bootstrapping.

Can I use this for legacy layout collapse in brownfield projects?

Yes, you can use it for legacy layout collapse in brownfield projects. It detects and collapses legacy three-file layouts into a single root AGENTS.md file, streamlining the project structure for the AI agent.

Does project initialization require manual intervention during the interview process?

Project initialization does not require manual intervention during the interview process. The skill handles the analysis and user interviews automatically to generate the necessary project documentation and rules.

How does an AI agent understand new project rules during project bootstrapping?

An AI agent understands new project rules during project bootstrapping by analyzing the codebase and interviewing the user. It then generates an AGENTS.md file containing all the extracted project rules and scaffolding.