architect

Extract problem statements into vector-friendly semantic metadata and embeddings for RAG systems.

Updated Aug 23, 2026
Ready to run
npx skills add https://github.com/violetio/violet-ai-plugins --skill architect-violetio
💬 Prompt for ChatGPT / Claude Chat▼
Please help me install this Agent Skill.
Skill: architect
Source: https://github.com/violetio/violet-ai-plugins/tree/main/plugins/v-architect/skills/architect
Command: npx skills add https://github.com/violetio/violet-ai-plugins --skill architect-violetio

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill streamlines system architecture planning, automating API specifications, database schemas, and frontend architecture decisions.

Core Features & Use Cases

  • System Design: Define component boundaries, API contracts, and data schemas.
  • Use Case: Imagine you need to design a new checkout flow. Use this Skill to automatically create OpenAPI specs and Architecture Decision Records.
  • Use Case: When designing a new feature, automatically generate the complete technical specification package.

Quick Start

Design the backend architecture for a new merchant onboarding API with proper authentication and rate limiting.

Frequently Asked Questions about architect

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

FAQPage Schema
How do I automate API specification generation for system design?▼

This Skill automates API specifications by extracting your system architecture requirements and generating OpenAPI specs with proper authentication and rate limiting rules, eliminating manual schema creation.

What's the best way to create Architecture Decision Records automatically?▼

The Skill structures your technical decisions into deterministic, schema-compliant Architecture Decision Records by analyzing your problem statement and system design choices, preserving reasoning for downstream workflows.

Can I use this to design component boundaries and data schemas?▼

Yes. Define component boundaries, API contracts, and database schemas by providing your feature or system requirements; the Skill generates the complete technical specification package with structured metadata.

How does semantic metadata extraction support technical decision-making?▼

The Skill converts your problem statement into vector-friendly embeddings and semantic metadata, enabling RAG-based retrieval systems to surface relevant architectural patterns and support informed design decisions.

When should I use this for frontend versus backend architecture?▼

Use it for both. The Skill handles frontend architecture decisions, API contracts, and backend design; apply it to any system component where you need automated technical specifications and decision documentation.