almadar-orbitals

Generate Almadar schemas by composing Entity, Traits, and Patterns units.

5|Updated Jan 29, 2026
One-click install
npx skills add https://github.com/almadar-io/almadar --skill almadar-orbitals
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: almadar-orbitals
Source: https://github.com/almadar-io/almadar/tree/main/skills/almadar-orbitals
Command: npx skills add https://github.com/almadar-io/almadar --skill almadar-orbitals

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Orbitals-based schema generation solves the complexity of building scalable applications by breaking them into reusable atomic units (Entity, Traits, and Patterns) and caching structural mappings for efficiency.

Core Features & Use Cases

  • Supports the Orbitals composition model to decompose applications into atomic Almadar Units (Entity × Traits × Patterns) for modular, reusable schemas.
  • Enforces the root orbitals format (orbitals[] at the root) to ensure forward-compatible, standard schema generation.
  • Provides structural caching guidance to optimize generation and reuse across multiple projects and teams.

Quick Start

Provide a sample orbitals array to generate a complete Almadar Unit-based schema for an application.

Frequently Asked Questions about almadar-orbitals

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

FAQPage Schema
How do I decompose complex applications into reusable schema units?

You decompose complex applications by composing atomic units—Entity, Traits, and Patterns—using the Orbitals model to generate modular, reusable Almadar schemas. This approach breaks down application architecture into manageable, forward-compatible components.

When do I need to use the orbitals root format for schema generation?

You need the orbitals root format (orbitals[] at the root) when generating standard Almadar schemas to ensure forward compatibility. Enforcing this structure guarantees correct schema assembly and valid Unit-based composition across multiple projects and teams.

How do I generate an Almadar schema from a sample orbitals array?

Provide a sample orbitals array as input to generate a complete Almadar Unit-based schema. The system composes Entity, Traits, and Patterns from your array, applying structural caching to optimize the generation process.

Can I reuse generated schemas across multiple projects and teams?

Yes, you can reuse schemas across multiple projects and teams by leveraging structural caching guidance. Caching optimizes structural mappings of atomic units, enabling efficient generation and consistent reuse of Almadar Unit-based schemas.

What are the limitations of using atomic units for schema generation?

Schema generation with atomic units requires strict adherence to the root orbitals format for valid assembly. While structural caching improves efficiency, incorrect schema composition outside the Entity, Traits, and Patterns model will fail to generate forward-compatible schemas.