rcode-create-architecture

Create a complete architecture document from repository context and requirements.

2|1|Updated Apr 10, 2026
One-click install
npx skills add https://github.com/hanzlahabib/rcode --skill rcode-create-architecture
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: rcode-create-architecture
Source: https://github.com/hanzlahabib/rcode/tree/main/rcode/skills/actions/3-solutioning/rcode-create-architecture
Command: npx skills add https://github.com/hanzlahabib/rcode --skill rcode-create-architecture

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill turns repository context, requirements, and project docs into a complete architecture document that guides AI agents toward consistent implementation.

Core Features & Use Cases

  • Project Context Analysis: Reviews requirements, constraints, and cross-cutting concerns to establish the architectural foundation.
  • Decision Workflow: Guides collaborative choices across data, security, API, frontend, infrastructure, patterns, and structure.
  • Validation and Handoff: Checks coherence and completeness, then produces a ready-to-use implementation guide.
  • Use Case: Use it when starting a new software project, formalizing architecture for an existing codebase, or aligning multiple agents on one technical approach.

Quick Start

Use the rcode-create-architecture skill to analyze the repository and produce the complete architecture document for this project.

Frequently Asked Questions about rcode-create-architecture

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

FAQPage Schema
How do I generate a software architecture document from project requirements?

Creating a complete project architecture involves analyzing repository context and requirements to evaluate starter templates, define technical decisions, and establish structural patterns. The output is a validated, implementation-ready document designed specifically for AI agent handoff.

What is the best way to align multiple AI agents on a single software architecture?

The best way to align multiple AI agents is by generating a comprehensive architecture document with collaborative checkpoints and validation gates. This ensures all agents follow identical technical decisions, patterns, and structural guidelines during implementation.

How do I formalize architecture for an existing codebase?

You formalize architecture for an existing codebase by reviewing its repository context, constraints, and cross-cutting concerns. The process evaluates current templates and defines a structured architecture document to guide future development and validation.

Can I use this architecture workflow for evaluating starter templates and infrastructure decisions?

Yes, you can use this architecture workflow to evaluate starter templates and guide collaborative choices across data, security, API, frontend, and infrastructure. It systematically reviews constraints to establish a validated architectural foundation.

Does the generated architecture document include validation and completeness checks?

Yes, the generated architecture document includes validation gates that check coherence and completeness. It enforces collaborative A/P/C checkpoints and frontmatter tracking to ensure the final implementation guide is structurally sound and ready for AI agents.