What architecture pattern does this skill implement?

It implements a Controller-Service-Entity pattern where Entities define business rules and handle data access, while Services orchestrate logic and side effects.

Does this skill automatically rewrite my code?

It follows a multi-step workflow: first identifying files, then analyzing current state and proposing an interface for you to approve before implementation.

Which database libraries does it support?

While the examples show Drizzle ORM, the patterns are generic and can be applied to any backend stack using SQL or NoSQL databases.

How does it handle business rules vs enforcement?

It moves rules into Entities as predicates (e.g., canDelete) that return status objects, while the Service layer handles throwing specific exceptions based on those results.

Can it help with large, legacy service files?

Yes, it is specifically designed to analyze large files, categorize scattered logic (data access, side effects, rules), and extract them into a cleaner structure.

Backend Architecture Refactor

Name: Backend Architecture Refactor
Author: franchiseai

byfranchiseai

API 开发

Refactors backend codebases to implement clean entity-service separation patterns and improved business logic organization.

关于

This skill helps developers modernize backend architectures by decomposing monolithic services into a clean, three-layer pattern comprising Controllers, Services, and Entities. It automatically identifies scattered business rules, isolates data access logic into entities, and ensures side effects are handled correctly within services. By following the 'Rules vs. Enforcement' principle, it creates highly testable, maintainable, and predictable codebases that separate HTTP concerns from core domain logic and database operations.

主要功能

0 GitHub stars
Domain-aware analysis for concepts like deals, leads, and applications
Refactoring of direct database queries into reusable entity methods
Isolation of side effects from core transaction orchestration logic
Automated identification of scattered business rules in service layers
Implementation of 'Rules vs. Enforcement' pattern using boolean predicates

使用场景

Extracting business logic from bloated service files into clean entity classes
Decoupling database-specific code from orchestration layers for better testability
Standardizing validation logic by converting inline errors into entity-based rule checks

关于

主要功能

0 GitHub stars
Domain-aware analysis for concepts like deals, leads, and applications
Refactoring of direct database queries into reusable entity methods
Isolation of side effects from core transaction orchestration logic
Automated identification of scattered business rules in service layers
Implementation of 'Rules vs. Enforcement' pattern using boolean predicates

使用场景

Extracting business logic from bloated service files into clean entity classes
Decoupling database-specific code from orchestration layers for better testability
Standardizing validation logic by converting inline errors into entity-based rule checks