Standardize Go database migrations and GORM usage for production systems.
npx skills add https://github.com/vincent119/ai-rules-kit --skill go-database-vincent119
Please help me install this Agent Skill. Skill: go-database Source: https://github.com/vincent119/ai-rules-kit/tree/main/skills/go-database Command: npx skills add https://github.com/vincent119/ai-rules-kit --skill go-database-vincent119
Go Database Migration and ORM standards to unify migration tooling choices, naming conventions, version control, CI/CD integration, and best practices for safe production usage.
Set up the project to follow the go-database standards by selecting a single migration tool and integrating versioned migrations into CI/CD.
High-intent search queries and answers about installing and using this skill.
GORM AutoMigrate is risky in production because it can perform destructive schema changes unpredictably. To avoid this, use pre-deploy versioned migration files with tools like golang-migrate or goose, which offer controlled up and down schema transitions.
The best practice for choosing between golang-migrate and goose is to pick a single tool per project and enforce it consistently. Standardizing on one migration tool prevents integration conflicts and simplifies CI/CD pipeline management across your Go applications.
To pair up and down database migrations in Go, enforce a strict naming convention where every forward migration file has a corresponding rollback file. This practice ensures safe production rollbacks and maintains database schema integrity during CI/CD deployments.
Yes, you can integrate Go database migrations into a CI/CD pipeline by running pre-deploy migration steps using versioned files. This approach automates schema updates safely and prevents risky auto-migration behaviors in live production environments.
You should forbid GORM AutoMigrate in production Go applications because it can cause unintended schema drift and data loss. Instead, use explicit versioned migrations with tools like golang-migrate or goose to ensure safe, controlled database schema changes.
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