masa-framework

Apply the MASA five-layer architecture to write, review, or refactor code.

8|2|Updated Mar 26, 2026
One-click install
npx skills add https://github.com/nicolasfmelo/masa-skill --skill masa-framework
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: masa-framework
Source: https://github.com/nicolasfmelo/masa-skill/tree/main
Command: npx skills add https://github.com/nicolasfmelo/masa-skill --skill masa-framework

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

MASA provides a standardized, cognizability-first framework for AI agents to understand and modify codebases by clarifying architecture, boundaries, and intent.

Core Features & Use Cases

  • Five-layer architecture guidance (domain_models, engines, services, integrations, delivery)
  • Static dependency rules (inward-only imports) and domain-driven naming
  • Step-by-step workflows for feature implementation, code review, and scaffolding
  • Works with Python, JavaScript/TypeScript, and Go, via SKILL.md frontmatter
  • Supports on-demand resources in scripts/, references/, and assets/

Quick Start

Load SKILL.md into your agent's context and start applying MASA patterns to your codebase.

Frequently Asked Questions about masa-framework

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

FAQPage Schema
How do I enforce layered architecture and dependency boundaries when using AI coding agents?

You can enforce layered architecture by applying the MASA framework, which guides AI agents with a five-layer inward-only dependency model and static analysis rules for domain-driven naming. It clarifies boundaries and intent during code generation.

What is a cognizability-first architecture for AI code generation and refactoring?

Cognizability-first architecture is a standardized approach that helps AI agents understand and modify codebases by enforcing clear layer boundaries and intent. The MASA framework implements this by using a five-layer structure and domain-driven naming conventions.

How do I scaffold new projects with strict architectural rules in Python, TypeScript, or Go?

To scaffold projects with strict architectural rules, load the MASA SKILL.md into your agent's context. It provides step-by-step workflows for scaffolding across Python, JavaScript/TypeScript, and Go while enforcing inward-only import dependencies.

Does the MASA framework work with JavaScript and TypeScript for static dependency analysis?

Yes, the MASA framework works with Python, JavaScript/TypeScript, and Go for static dependency analysis. It enforces an inward-only import model across its five architectural layers to maintain strict boundary checks.

Can I use my own scripts and references when applying AI agent architecture frameworks?

Yes, you can use your own scripts and references. The framework supports on-demand resources loaded dynamically from scripts, references, and assets directories as needed during feature implementation or code review.

What do I need to start applying modular agentic architecture to my existing codebase?

You need a root SKILL.md file with YAML frontmatter including name and description. Loading this file into your agent's context provides the necessary MASA patterns to start auditing architecture and refactoring code.