schema-migration-planner

Plan phased zero-downtime database schema migrations for Kotlin and Spring applications.

14|1|Updated Mar 6, 2026
One-click install
npx skills add https://github.com/yalishevant/kotlin-backend-agent-skills --skill schema-migration-planner-yalishevant
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: schema-migration-planner
Source: https://github.com/yalishevant/kotlin-backend-agent-skills/tree/main/.agents/skills/schema-migration-planner
Command: npx skills add https://github.com/yalishevant/kotlin-backend-agent-skills --skill schema-migration-planner-yalishevant

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Plan safe database schema evolution and zero-downtime change rollout for Kotlin plus Spring systems using Flyway, Liquibase, or equivalent migration tooling. Use when changing tables, columns, constraints, indexes, or data shape in systems with live traffic, rolling deploys, large datasets, or backward-compatibility requirements between old and new application versions.

Core Features & Use Cases

  • Phase-aware planning that distinguishes additive, destructive, semantic, or data-moving changes.
  • Compatibility-first rollout with backfill strategy, dual-write considerations, and rollback safety.
  • Use cases include live production migrations, staged deployments, and CDC/replication-sensitive environments.

Quick Start

Draft and execute a phased migration plan in a staging environment before production.

Frequently Asked Questions about schema-migration-planner

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I plan zero-downtime database schema migrations for a Spring application?

Zero-downtime schema migrations for Spring applications require a phased expansion and contract plan that maintains backward compatibility between old and new code paths during rolling deploys. This ensures live traffic remains unaffected while database changes are applied incrementally.

What is the best way to handle backfilling data during a schema migration?

Backfilling data during a schema migration requires a compatibility-first rollout strategy that includes dual-write considerations and rollback safety. A phase-aware plan validates data integrity observably before fully committing to the new schema structure.

Does this approach work with Flyway or Liquibase for Kotlin production deployments?

Yes, this phased migration planning works with Flyway, Liquibase, or equivalent migration tooling for Kotlin plus Spring systems. It safely handles live production deployments, staged rollouts, and CDC or replication-sensitive environments.

How do you manage destructive database changes without downtime?

Destructive database changes without downtime require a phased expansion and contract plan that delays destructive operations until all old application versions are retired. This guarantees strict backward compatibility and enables safe rollback during the transition period.

When do I need a phased schema migration plan for large datasets?

A phased schema migration plan is needed for large datasets when live traffic requires rolling deploys and strict backward compatibility. It distinguishes additive, destructive, semantic, or data-moving changes to ensure safe, observable validation.

Can I roll back a database schema migration if something goes wrong?

Rolling back a database schema migration is possible when the plan includes explicit rollback considerations and compatibility guarantees. A phased expansion and contract approach ensures old and new code paths can coexist safely during the transition.