create-architecture

Coordinates step-by-step architecture design for AI agent projects.

3|Updated Jun 23, 2026
One-click install
npx skills add https://github.com/WritzProtocol/writz --skill create-architecture-writzprotocol
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: create-architecture
Source: https://github.com/WritzProtocol/writz/tree/main/.agents/skills/create-architecture
Command: npx skills add https://github.com/WritzProtocol/writz --skill create-architecture-writzprotocol

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires advanced-elicitation, party-mode, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill addresses the challenge of creating consistent architecture solutions for AI agents, ensuring that agents implement decisions accurately and without conflicts.

Core Features & Use Cases

  • Collaborative Decision-Making: Facilitates step-by-step discovery with users, ensuring alignment between architectural knowledge and domain expertise.
  • Structured Workflow: Follows a structured workflow to initialize, analyze context, evaluate templates, make decisions, define patterns, and validate architecture.
  • Customization and Continuation: Allows customization of the workflow and continuation from where it left off.
  • Implementation Patterns: Defines naming, structure, format, communication, and process patterns to prevent implementation conflicts.
  • Project Structure Mapping: Maps requirements and epics to specific files and directories, defining a clear project structure.
  • Validation and Handoff: Validates the architecture for coherence, completeness, and readiness, providing implementation guidance.

Quick Start

Use the create-architecture skill to initialize the architecture workflow for your project 'ProjectX'.

Frequently Asked Questions about create-architecture

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

FAQPage Schema
How do I design an AI agent architecture collaboratively to prevent implementation conflicts?

AI agent architecture design prevents implementation conflicts by using a structured workflow to define implementation patterns, map project structures, and validate architectural coherence collaboratively.

What's the best way to map project structure requirements to specific files for AI agents?

Mapping project structure involves evaluating templates and defining naming, structure, and communication patterns to map requirements and epics to specific files and directories accurately.

How does collaborative decision-making work when creating project structure for AI agents?

Collaborative decision-making works by initializing a workflow that analyzes project context, evaluates templates, facilitates decisions, defines patterns, and validates architecture to align domain expertise.

Can I customize the architecture design workflow and continue from where I left off?

The architecture design workflow allows customization of the discovery steps and supports continuation from where the previous architecture design session left off.

What implementation patterns are needed to ensure AI agents execute decisions without conflicts?

Implementation patterns needed include defining naming, structure, format, communication, and process patterns to prevent AI agents from encountering implementation conflicts.