What is the final verification step?

The workflow concludes by running the project's Go linter and test suite to ensure the newly implemented logic adheres to code standards and functions correctly.

Can I use this for existing entities?

Yes, while it is optimized for creating new resources, it can be used to add missing CRUD operations to existing domain entities and database tables.

What frameworks does this skill support?

It is specifically designed for Go projects using the rapid-go template, SQLBoiler for ORM, and gRPC for API communication.

Does it handle database migrations?

Yes, it orchestrates the creation of migration SQL files and runs the necessary commands to update the schema and generate models.

CRUD Implementation Workflow

Name: CRUD Implementation Workflow
Author: abyssparanoia

byabyssparanoia

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API開発

Implements full-stack CRUD operations by orchestrating database migrations, domain modeling, and API endpoint generation.

概要

This skill provides a comprehensive workflow for building new resources within the rapid-go framework, guiding Claude through the entire lifecycle from database schema design to gRPC endpoint implementation. It ensures architectural consistency by managing SQLBoiler generation, domain-driven design (DDD) patterns, and Protobuf definitions, making it ideal for developers who need to rapidly spin up new API entities while following strict project standards and best practices.

主な機能

Orchestrates multi-layer implementation from database to API
Standardizes Domain-Driven Design (DDD) entity and repository patterns
18 GitHub stars
Streamlines gRPC and Protobuf definition creation
Automates SQLBoiler model generation and migration workflows
Validates implementations with automated linting and testing

ユースケース

Adding a new database-backed resource to a Go backend
Scaffolding a complete API-to-database flow for a new feature
Implementing full CRUD operations for an existing domain entity

概要

主な機能

Orchestrates multi-layer implementation from database to API
Standardizes Domain-Driven Design (DDD) entity and repository patterns
18 GitHub stars
Streamlines gRPC and Protobuf definition creation
Automates SQLBoiler model generation and migration workflows
Validates implementations with automated linting and testing

ユースケース

Adding a new database-backed resource to a Go backend
Scaffolding a complete API-to-database flow for a new feature
Implementing full CRUD operations for an existing domain entity