Skill · AI & Development

DB Migration Safety Checker

Audit database migrations for table locks and downtime risks. Get safe execution plans and rollback scripts. Install in 30 seconds.

Category
AI & Development
Deliverable
1 .skill bundle
Outputs
Last updated
13 Jun 2026
$9.99 One-time · lifetime updates
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Overview

What DB Migration Safety Checker does.

This skill takes your migration file plus your actual production table sizes and returns a statement-by-statement lock analysis calibrated to your database engine and version — because lock semantics differ between PostgreSQL 14 and 16, and between MySQL 5.7 and 8.0. Where a statement would block, it rewrites the sequence using expand-contract or concurrent index builds rather than just flagging the problem. It also produces the rollback script for every destructive step, and a deploy timing recommendation based on your traffic window.

A typical input: a Rails migration that adds a NOT NULL column with a default to an orders table with 38 million rows, running on PostgreSQL 15 with live traffic. The buyer pastes the migration SQL and states the engine version and approximate row count. The skill identifies that the column add triggers a table rewrite on older Postgres but not on 15, confirms the in-place behavior, then flags that the NOT NULL constraint validation will still hold an AccessShareLock and provides the two-phase alternative: add the column nullable, backfill in batches of 5,000 rows with a 50ms sleep, then add the constraint as NOT VALID and validate separately.

Output excerpt format: RISK SUMMARY — Statement 1: ALTER TABLE orders ADD COLUMN status varchar(20) NOT NULL DEFAULT 'pending' | Lock type: AccessExclusiveLock | Estimated duration at 38M rows: ~4 min table rewrite (Postgres < 11 only; your version: safe) | Safe path: proceed as-is. Statement 2: CREATE INDEX ON orders(status) | Lock type: ShareLock (blocking) | Safe path: CREATE INDEX CONCURRENTLY — add outside transaction block. ROLLBACK SCRIPT — Step 2: DROP INDEX CONCURRENTLY IF EXISTS orders_status_idx;

Who it's for

Backend engineers and DBAs who deploy schema changes to tables with millions of rows and cannot afford unplanned downtime — particularly those working without a dedicated DBA to review migrations before they reach production.

How it works

Three steps. About two minutes.

Install

Add the .skill file to your Claude app. ~10 seconds.

Run it on your work

Invoke the skill and paste in your material.

Apply the output

Review, keep what works, and use it.

In depth

Why a Claude skill beats a prompt template.

A copy-paste prompt runs one static pass and stops. A skill is a bundled program — instructions, examples, and a workflow Claude runs as a unit: it asks for the right input, applies the same pattern every time, and returns the structured outputs above.

FAQ

Common questions.

What does the skill need from me to run an analysis?

Your migration file or SQL statements, the database engine and version (e.g. PostgreSQL 15, MySQL 8.0), and the approximate row count of each table being altered. Traffic pattern or maintenance window information is optional but improves the deploy timing recommendation.

Does it only flag problems, or does it rewrite the migration?

It rewrites. For any blocking statement it produces the safe alternative — expand-contract sequences, concurrent index creation, batched backfill with throttling — as ready-to-use SQL, not just a warning.

Does it handle both PostgreSQL and MySQL, or only one engine?

It covers both, and its analysis is version-specific. Lock behavior for adding a NOT NULL column with a default changed in PostgreSQL 11; the skill accounts for that rather than giving one-size-fits-all advice.

Will it produce a rollback script automatically?

Yes, a rollback script is part of every analysis for destructive or structural changes. Migrations that have no safe rollback path are flagged explicitly so you can decide whether to proceed.

Is this useful for small migrations or only large ones?

Most value comes from migrations touching tables with more than 10,000 rows, adding NOT NULL columns, dropping anything, or running during business hours. For small, low-risk changes the analysis is faster but still confirms whether a risk actually exists.

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