How does this skill help with zero-downtime migrations?

It provides step-by-step workflows including adding new columns, dual-writing, backfilling, and swapping to ensure the application remains online throughout the process.

Is it compatible with migration tools like Prisma or Flyway?

Yes, the skill complements existing migration tools by providing the domain-specific logic and best practices for implementing versioned migrations effectively.

Can it handle migrations between different database types?

Yes, it is designed to assist with transformations and logic mapping when moving data between diverse systems, such as migrating from SQL to NoSQL.

Does it support rollback procedures?

Absolutely. A core feature of this skill is the generation of safe rollback strategies and validation checks to mitigate risks during the deployment phase.

Data Migration & Schema Evolution

Name: Data Migration & Schema Evolution
Author: Microck

byMicrock

•

Gestión de Bases de Datos

Executes safe database migrations and schema transformations with robust rollback strategies and data validation.

Acerca de

This skill empowers Claude to act as a database specialist, guiding developers through complex data migrations, schema evolutions, and cross-system transitions. It prioritizes data safety by implementing zero-downtime patterns, dual-write strategies, and rigorous integrity checks. Whether you are moving from a legacy system, backfilling historical data, or refactoring production schemas, this skill provides the structured workflow and validation steps necessary to minimize risk and ensure data consistency.

Características Principales

Dual-write and backfill pattern orchestration
Zero-downtime migration planning and execution
Data integrity and validation check implementation
Cross-system data transformation and mapping
81 GitHub stars
Automated rollback strategy generation

Casos de Uso

Refactoring production database schemas without service interruption
Implementing versioned migration scripts with verification steps
Migrating data from legacy relational systems to modern cloud databases

Acerca de

Características Principales

Dual-write and backfill pattern orchestration
Zero-downtime migration planning and execution
Data integrity and validation check implementation
Cross-system data transformation and mapping
81 GitHub stars
Automated rollback strategy generation

Casos de Uso

Refactoring production database schemas without service interruption
Implementing versioned migration scripts with verification steps
Migrating data from legacy relational systems to modern cloud databases