What is the benefit of using concerns over service objects in this skill?

Following the AFAL philosophy, logic is kept within the model layer to leverage Rails' built-in features, keeping the domain model rich and centralized rather than fragmented.

How does the OwnedByOrganization concern handle multi-tenancy?

It provides standardized scoping and associations that ensure records are always associated with and filtered by the correct organization context.

What is the 'state as separate records' pattern?

Instead of using simple boolean flags or enums, this pattern uses associated records to track state changes, providing an automatic timestamped audit trail of who changed what and when.

Does this skill help with database migrations?

Yes, it provides clear requirements for the columns, references, and indexes needed to support specific concerns like Auditable or Evidenceable.

AFAL Rails Model Concerns

Name: AFAL Rails Model Concerns
Author: Grupo-AFAL

byGrupo-AFAL

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数据库管理

Implements and manages reusable model logic in Rails applications using ActiveSupport::Concerns following AFAL's domain-driven patterns.

This skill provides expert guidance on implementing shared model behavior in Ruby on Rails applications, adhering to the AFAL architectural philosophy where business logic resides in models and concerns rather than external service objects. It automates the creation of standardized concerns for organization-based scoping, audit trails, and evidence attachments, while promoting the 'state as separate records' pattern for superior data integrity. By centralizing common functionalities, it helps developers reduce code duplication, maintain lean models, and ensure compliance with AFAL's multi-tenant and auditing requirements.

主要功能

011 GitHub stars

02Generates standardized ActiveSupport::Concern structures with predefined included blocks and class methods.

03Automates documentation for database migration requirements and Pundit policy integrations.

04Implements core AFAL patterns including OwnedByOrganization, Auditable, and Evidenceable.

05Provides guidance on concern composition to avoid callback conflicts and circular dependencies.

06Enforces the 'state as separate records' architecture to replace fragile boolean flags with robust audit trails.

使用场景

01Refactoring bloated models by extracting cohesive shared behavior into focused, testable units.

02Adding multi-tenant organization scoping to new database models to ensure data isolation.

03Implementing complex compliance-ready state transitions that require audit trails and metadata.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add grupo-afal/claude-plugins afal-concerns

For use in Claude.ai and ChatGPT

主要功能

011 GitHub stars

02Generates standardized ActiveSupport::Concern structures with predefined included blocks and class methods.

03Automates documentation for database migration requirements and Pundit policy integrations.

04Implements core AFAL patterns including OwnedByOrganization, Auditable, and Evidenceable.

05Provides guidance on concern composition to avoid callback conflicts and circular dependencies.

06Enforces the 'state as separate records' architecture to replace fragile boolean flags with robust audit trails.

使用场景

01Refactoring bloated models by extracting cohesive shared behavior into focused, testable units.

02Adding multi-tenant organization scoping to new database models to ensure data isolation.

03Implementing complex compliance-ready state transitions that require audit trails and metadata.