Data Workflows

Data Migration Verification Manager

Plan and verify data migrations with mapping, reconciliation, sampling, cutover, rollback, audit evidence, and sign-off.

Last updated Jul 11, 2026
FreeClaudeChatGPTCursor
TL;DR

Data Migration Verification Manager is a free AI skill for data workflows. Plan and verify data migrations with mapping, reconciliation, sampling, cutover, rollback, audit evidence, and sign-off. It works with Claude, ChatGPT, Cursor and is ready to use out of the box.

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About this skill

Data Migration Verification Manager helps teams move data between schemas, databases, vendors, or platforms without relying on row counts alone. It defines mappings, transformations, validation, reconciliation, sampling, cutover, rollback, audit evidence, and acceptance.

What it does

The skill analyzes source and target systems, business rules, data quality, transformation logic, downtime, and critical records; creates verification queries and exception handling; and produces a migration test, cutover, and sign-off plan.

What is included

  • Source-to-target mapping
  • Transformation rules
  • Data-quality checks
  • Reconciliation framework
  • Sampling strategy
  • Cutover and freeze plan
  • Rollback and recovery
  • Sign-off evidence

How to use it

1. Download the data-migration-verification-manager-SKILL.md file
2. Upload it to your data or engineering workspace
3. Provide source and target schemas, mapping rules, volumes, and downtime constraints
4. Add critical business records and acceptance criteria
5. Use the plan for rehearsal, cutover, and sign-off

Examples

Example input
Plan verification for migrating customers, subscriptions, invoices, payments, and audit history from a legacy database to a new SaaS platform.
Example output
A complete migration-verification plan with mappings, transformations, counts, financial reconciliation, referential checks, sampling, exception handling, cutover, rollback, audit evidence, and sign-off.

FAQ

What is this skill for?
It creates a verification and sign-off plan for database and platform migrations.
Are row counts enough?
No. Verification should include values, relationships, business totals, transformations, and critical samples.
Can it handle financial data?
Yes. It adds balance, invoice, payment, and aggregate reconciliation where relevant.
Does it include rollback?
Yes. It defines rollback feasibility, triggers, data divergence, and recovery verification.
Can it support rehearsal migrations?
Yes. It creates dry runs, timing checks, defect tracking, and readiness gates.
How is this different from a migration script review?
It focuses on proving business correctness across the full migration and cutover.

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