metodologia-ai-software-architecture

Community

Design AI system architecture with ADRs.

AuthorJaviMontano
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Provides a structured framework to design and document AI-enabled software architectures, ensuring consistent module boundaries, layer separation, decision records, and governance to manage AI-specific debt.

Core Features & Use Cases

  • Defines a scalable, six-layer AI architecture (Hardware, Data, Model, Inference, Application, Monitoring & Control) and guidance on when to apply ADRs and quality attributes.
  • Produces Architecture Decision Records (ADRs), debt evolution plans, and evaluation criteria to support cross-functional teams (data, model, and software engineers).
  • Useful for planning new AI systems, refactoring existing AI pipelines, and aligning architecture with governance and regulatory needs (drift, explainability, fairness).

Quick Start

Draft a concise AI architecture plan outlining modules, layers, ADRs, and quality attributes for an AI-enabled service.

Dependency Matrix

Required Modules

None required

Components

references

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: metodologia-ai-software-architecture
Download link: https://github.com/JaviMontano/metodologia-propuesta-agent-public/archive/main.zip#metodologia-ai-software-architecture

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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