architect

Define scalable system-architecture blueprints for multi-agent LLM platforms.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/EllevatedAI/MeMyselfAndI --skill architect-ellevatedai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: architect
Source: https://github.com/EllevatedAI/MeMyselfAndI/tree/main/.claude/skills/architect
Command: npx skills add https://github.com/EllevatedAI/MeMyselfAndI --skill architect-ellevatedai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Architecting complex, multi-agent systems that are scalable, auditable, and ready for production.

Core Features & Use Cases

  • Domain maps and data architecture for greenfield and retrofit contexts
  • API contracts, integration maps, and agent-architecture specifications
  • Migration-path planning and governance for moving between AS-IS and TO-BE states

Quick Start

Create a complete system-architecture blueprint and migration plan from your business goals and audit data.

Frequently Asked Questions about architect

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

FAQPage Schema
How do I design a scalable system-architecture blueprint for a multi-agent LLM platform?

A scalable multi-agent system-architecture blueprint defines domain boundaries, data models, API contracts, and cross-cutting rules for LLM-enabled platforms. It produces artifacts like a domain map, integration map, and agent architecture ready for code-ready generation.

What's the best way to plan a migration path for retrofitting an existing AS-IS architecture to a multi-agent TO-BE state?

Planning a migration path for retrofitting AS-IS architectures to multi-agent TO-BE states requires defining domain boundaries and cross-cutting rules. The process produces integration maps and agent architecture specifications aligned with governance gates for auditable transitions.

Can I generate API contracts and data architecture for both greenfield and retrofit contexts?

Yes, you can generate API contracts and data architecture for both greenfield and retrofit contexts. The blueprinting process defines domain boundaries, data models, and integration maps, producing specifications aligned with governance gates and ready for audits.

When do I need to define cross-cutting rules and domain boundaries for an LLM-enabled platform?

You need to define cross-cutting rules and domain boundaries for an LLM-enabled platform when architecting complex, scalable, multi-agent systems. This ensures the resulting system-architecture blueprint is auditable, production-ready, and aligned with governance gates for inbox decisions.

Does a multi-agent system blueprint produce artifacts that are ready for code generation and audits?

Yes, a multi-agent system blueprint produces code-ready artifacts like domain maps, data architecture, API contracts, and agent architecture specifications. These outputs align with governance gates and are structured to support audits and inbox decisions directly.

What limitations should I consider when architecting multi-agent systems for production scalability?

When architecting multi-agent systems for production scalability, ensure your blueprint includes strict domain boundaries, cross-cutting rules, and governance gate alignment. Without a defined migration path for retrofit contexts, AS-IS to TO-BE transitions risk failing production audits.