Does this skill support multiple database frameworks?

Yes, it provides specific implementation patterns and guidance for popular frameworks including Alembic (Python), Rails (Ruby), and Sequelize (JavaScript).

Does it help with index management on large tables?

Yes, it provides specific syntax for PostgreSQL and MySQL to create indexes concurrently or using non-blocking algorithms to avoid performance degradation.

Can I use this for data migrations as well as schema changes?

Yes. It specifically includes standards for data migrations, emphasizing idempotency, batch processing for large datasets, and the separation of data scripts from schema files.

Why is reversibility mandatory in this skill?

Reversibility ensures that any failed deployment can be safely rolled back using a 'down' method, preventing data corruption and reducing recovery time in production.

How does it handle zero-downtime deployments?

The skill utilizes multi-step approaches for column changes and concurrent index creation to prevent table locking and ensure the database remains accessible during updates.

Backend Migration Standards

Name: Backend Migration Standards
Author: Microck

byMicrock

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Gestión de Bases de Datos

Manages database schema and data migrations using industry-standard patterns for reversibility and zero-downtime deployments.

Acerca de

This skill equips Claude with specialized knowledge to handle complex database migrations across various frameworks like Alembic, Rails, and Sequelize. It enforces strict standards for reversible changes, ensures zero-downtime strategies such as concurrent indexing and multi-step column removal, and maintains a clear distinction between schema modifications and data transformations. By adhering to these standards, the skill prevents common pitfalls like table locking, broken rollbacks, and non-idempotent data scripts in production environments, making it an essential tool for backend engineers and DevOps specialists.

Características Principales

Implementation of zero-downtime deployment strategies for high-traffic schema changes.
81 GitHub stars
Safe handling of production indexes using concurrent creation patterns.
Enforcement of standardized naming conventions and file organization for versioning.
Clear separation between structural schema changes and operational data transformations.
Automated generation of reversible migration files with mandatory rollback logic.

Casos de Uso

Creating complex, batch-processed data migration scripts for large-scale datasets.
Modifying existing production database schemas without interrupting live application traffic.
Standardizing migration workflows across polyglot environments using Python, Ruby, or JavaScript.

Acerca de

Características Principales

Implementation of zero-downtime deployment strategies for high-traffic schema changes.
81 GitHub stars
Safe handling of production indexes using concurrent creation patterns.
Enforcement of standardized naming conventions and file organization for versioning.
Clear separation between structural schema changes and operational data transformations.
Automated generation of reversible migration files with mandatory rollback logic.

Casos de Uso

Creating complex, batch-processed data migration scripts for large-scale datasets.
Modifying existing production database schemas without interrupting live application traffic.
Standardizing migration workflows across polyglot environments using Python, Ruby, or JavaScript.