One-click install
npx skills add https://github.com/LumenWipe/lumenwipe --skill create-architecture-lumenwipe
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: create-architecture
Source: https://github.com/LumenWipe/lumenwipe/tree/main/.claude/skills/create-architecture
Command: npx skills add https://github.com/LumenWipe/lumenwipe --skill create-architecture-lumenwipe

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill prevents inconsistent technical decisions and conflicting implementations by guiding users through a structured, collaborative architecture design workflow.

Core Features & Use Cases

  • Requirements Analysis: Reviews project documentation, constraints, functional requirements, and non-functional requirements to identify architectural scope.
  • Decision Facilitation: Guides collaborative choices about technology stacks, data architecture, security, APIs, infrastructure, and deployment.
  • Implementation Consistency: Defines naming, structure, communication, error-handling, and project-organization patterns for reliable AI-agent implementation.
  • Validation and Handoff: Checks architectural coherence, requirements coverage, implementation readiness, project boundaries, and unresolved gaps.
  • Use Case: Use this Skill to turn a product requirements document into a validated architecture document with technology decisions, implementation patterns, a complete project structure, and guidance for AI-assisted development.

Quick Start

Ask the AI to create a technical architecture for the project using the available requirements and project documentation.

Frequently Asked Questions about create-architecture

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

FAQPage Schema
How do I create a software architecture design from project requirements?

To create a software architecture design, use a structured workflow that translates project requirements into technical decisions, implementation patterns, and a validated project structure. It requires analyzing documentation, confirming technology selections, and defining integration boundaries.

What is the best way to define project structure for consistent AI-agent implementation?

Defining a project structure for AI-agent implementation requires establishing consistent naming, organization, communication, and error-handling patterns. This ensures reliable development by enforcing implementation consistency across the generated codebase.

Can I use this approach to validate architectural coherence before development?

Yes, you can validate architectural coherence by checking requirements coverage, implementation readiness, and project boundaries. The process identifies unresolved gaps and produces a final architecture handoff document for downstream development.

What do I need to prepare for collaborative architecture discovery and technology selection?

Collaborative architecture discovery requires project documentation, constraints, and functional requirements. You must provide these inputs to guide the structured decision-making process for technology stacks, data architecture, security, APIs, and deployment infrastructure.

Why does my solution design result in conflicting technical implementations?

Conflicting technical implementations occur when solution design lacks consistent technical decisions and defined implementation patterns. Using a structured architecture workflow prevents this by validating architectural coherence and enforcing standard project organization rules.