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Repair Database Migration Rollback Bugs
Repair migration/rollback bugs where old and new application versions disagree on schema shape, backfills race with writes, or rollback becomes unsafe after destructive changes.
$1
Repair Database Migration Rollback Bugs
Example session with this skill installed
We add a non-null canonical_email column, deploy code that writes it, backfill old rows, then want to drop the old column. Rolling back the app midway can fail because schema expectations changed. Design a safe repair using our existing migration system.
- Read your context and instructions
- Compiled the repair database migration
The migration couples application compatibility to a destructive schema transition. The repair separates expand/backfill/cutover/contract phases, keeps both application versions compatible during the deployment window, makes the backfill resumable/idempotent, verifies completeness before constraints/destruction, and defines the last safe rollback point.
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About this skill
The problem
Database migrations often fail during rollback or cause downtime because dual-write windows, nullable transitions, and application compatibility are handled inconsistently across the repository. Manual fixes frequently overlook state ownership or cleanup logic, leading to data corruption when a deployment is reverted.
What it does
- Identifies defects in expand, migrate, and contract phases to ensure zero-downtime deployments.
- Audits old and new application code to maintain compatibility during rolling updates.
- Fixes dual-read/write window logic and backfill ownership bugs.
- Validates index and constraint rollout strategies against rollback boundaries.
- Generates deterministic local fixtures and regression tests for migration verification.
Why this beats prompting it yourself
General prompts often ignore the "contract" phase of a migration or fail to account for concurrent state transitions. This skill enforces a canonical contract for identity and validation, ensuring that side effects and retries are bound to the specific state that created them rather than relying on broad retries or sleeps.
Use cases
- Fixing a migration that prevents an application from rolling back to a previous version.
- Implementing safe dual-write logic for a high-traffic table refactor.
- Correcting inconsistent nullability or default value transitions across microservices.
- Adding observability and deterministic tests to brittle migration runbooks.
Known limitations
Does not interact with production databases, live secrets, or deployed infrastructure. Requires local repository files and fixtures to perform analysis and patching.
Find more skills like this on the Claude Skills Marketplace, the Codex Skills Marketplace and the Gemini Skills Marketplace, or browse Claude Skills for Data & Databases.
Cannot redesign data model intent, supported deployment topology, availability policy, retention policy, and application behavior; cannot verify production infrastructure or prove every runtime, proxy, network, storage, clock, or scheduler ordering.
How to use
- 1
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- 2
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- 3
Ask for what you need
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Permissions
Run on a clean branch with repository files and disposable local fixtures. Review patches and validation before merge. Keep production services, real credentials, customer payloads, and deployment out of scope.