Software Architecture Engine — Production Code System

The problem

LLMs often generate shallow "Hello World" examples or lazy code placeholders like "// implementation here" when asked for complex systems. This forces developers to spend hours manually scaffolding directory structures, writing boilerplate, and hardening security for production environments.

WHAT YOU GET WHEN PURCHASING THIS PRODUCT:

• The Universal AI Skill (.md): A logic-dense framework that leverages advanced variables to offload complex architectural reasoning to the AI. This versatile skill is adaptable across major LLMs by fine-tuning input parameters.
• The Claude-Optimized Skill (.md): Professionally converted for the Claude ecosystem to maximize its advanced reasoning and coding capabilities.
• The Openclaw-Optimized Skill (.md): Specifically tuned for Openclaw agents to facilitate autonomous, production-grade code generation.
• README.txt Quick Start Guide: A zero-friction deployment guide to activate your professional architect engine instantly.

What it does

• Generates complete, production-grade source code for 5-10 core files without any truncation or placeholders.
• Performs an automated Risk Classification (Category A or B) to identify high-stakes systems like FinTech or Healthcare.
• Produces a detailed ASCII directory tree and Infrastructure-as-Code files including Dockerfiles and .env configurations.
• Conducts a formal Security and Performance Audit in a tabular format with specific mitigation strategies.
• Outputs Mermaid.js diagrams to visualize system logic and sequence flows.

Frameworks & tools

Agnostic, but optimized for AWS, Azure, GCP, Node.js, TypeScript, Python, FastAPI, and Mermaid.js.

Why this beats prompting it yourself

Standard prompting yields generic results that lack architectural rigor. This skill enforces strict Design Patterns (Clean Architecture, Hexagonal, MVC) and prohibits robotic fillers, ensuring every line of code follows SOLID and DRY principles while maintaining high-level technical depth in documentation.

Use cases

• Scaffolding a PCI-DSS compliant payment gateway with full domain logic.
• Architecting a HIPAA-compliant healthcare EMR system using microservices.
• Generating a resilient event-driven ecosystem with Infrastructure-as-Code.
• Conducting deep-dive security audits on proposed system architectures.

Known limitations

Requires five specific input variables (Scope, Stack, Architecture, Security, Expertise) to begin generation. Long outputs may require a "continue" command due to LLM token limits.