One-click install
npx skills add https://github.com/ilya-baimetov/vibeloom --skill vibeloom
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: vibeloom
Source: https://github.com/ilya-baimetov/vibeloom/tree/main
Command: npx skills add https://github.com/ilya-baimetov/vibeloom --skill vibeloom

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the creation and maintenance of production-quality software using a contract-driven methodology, transforming AI code generation from a prototyping tool into a sustainable development process.

Core Features & Use Cases

  • Intent-First Development: Start with a natural language intent and let the Skill guide you through generating a structured stack of specifications (PRD, USM, DM, Spec).
  • Bidirectional Consistency: Any change to a specification is automatically checked against upstream contracts, and vice-versa, ensuring semantic coherence.
  • Multi-Agent Coordination: The methodology supports breaking down projects into modules, enabling parallel development by multiple AI agents with clear ownership and bounded context.
  • Use Case: Imagine you need to build a new feature for your application. You describe the feature's intent, and the Skill helps you generate the PRD, user stories, domain model, and technical spec, ensuring all parts align before any code is written.

Quick Start

Use the vibeloom skill to initialize a new governed project by describing your project's intent.

Frequently Asked Questions about vibeloom

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

FAQPage Schema
What is contract-driven development for AI code generation?

Contract-driven development transforms AI code generation into a sustainable process by using a tiered specification stack—PRD, USM, domain model, and technical spec—to ensure bidirectional consistency across all artifacts.

How do I maintain domain-driven design consistency when generating code with AI?

You maintain domain-driven design consistency by enforcing bidirectional checks across your specification stack, ensuring any technical spec changes are automatically validated against upstream contracts like the PRD.

Can I use multi-agent systems for parallel software development with bounded contexts?

Yes, multi-agent systems can parallelize software development by modularizing projects into bounded contexts with clear ownership, allowing multiple AI agents to coordinate development simultaneously.

How do I start intent-first development from a natural language feature description?

You start intent-first development by providing a natural language intent, which the system uses to automatically generate a structured specification stack including PRD, user stories, and domain models.

What is the best way to manage specifications for multi-agent AI code generation?

The best way to manage specifications for multi-agent AI code generation is using a tiered specification stack that facilitates modularization with clear ownership and bounded contexts for parallel agents.