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migration-ready-schema

Data-model rules that make a schema importable from day one, so the migration-import-engineer is never blocked on missing columns.

Skill by avelikiy

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About

Data-model rules that make a schema importable from day one, so the migration-import-engineer is never blocked on missing columns. Every SMB Product-Builder product must let a customer bring their data from an incumbent (ServiceTitan/Toast/Mindbody/Shopify) — that requires provenance (source_ref) and rollback (import_batch_id) on importable entities, and modelling real-world actors as entities rather than inline fields. Applied by architect when writing the data model in ARCH-{slug}.md, and checked by migration-import-engineer. One cheap rule set prevents the migration↔architecture seam gap from recurring across all 40 products.

Use cases: data, writing

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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

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  • codeload.github.com · found in install command

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  • ~/.claude/skills/migration-ready-schema

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From allowed-tools in SKILL.md: the agent may use these without asking you each time.

  • Read,
  • Write,
  • Grep,
  • Glob

What's inside

Skill name
migration-ready-schema
Description
Data-model rules that make a schema importable from day one, so the migration-import-engineer is never blocked on missing columns. Every SMB Product-Builder product must let a customer bring their data from an incumbent (ServiceTitan/Toast/Mindbody/Shopify) — that requires provenance (source_ref) and rollback (import_batch_id) on importable entities, and modelling real-world actors as entities rather than inline fields. Applied by architect when writing the data model in ARCH-{slug}.md, and checked by migration-import-engineer. One cheap rule set prevents the migration↔architecture seam gap from recurring across all 40 products.
License
MIT
Allowed tools
Read,, Write,, Grep,, Glob
Instructions
66 lines in SKILL.md · view on GitHub

Files (1)

  • SKILL.md

SKILL.md (first lines)

# Migration-ready schema — importable from day one

Every SMB product's wedge is **low switching cost** — the customer brings their data from
the incumbent. If the schema can't receive that data idempotently and reversibly, the
`migration-import-engineer` blocks and the wedge is a slogan. These rules are cheap at
design time and impossible to retrofit cleanly. **Apply them to the data model in ARCH,
before any import is designed.**

## The three rules (the ones that actually block imports)

### 1. Importable entities carry `source_ref` (provenance)
Any entity that can be populated from an incumbent export or a third-party sync gets a
nullable, **unique** `source_ref` column:

```
source_ref  text  UNIQUE NULL   -- e.g. "servicetitan:pricebook:8842"
```

- It is the **dedup key** for idempotent re-import (re-running an export never duplicates).
- Namespaced `{source}:{type}:{id}` so two incumbents can't collide.
- Nullable because natively-created rows have no source.

### 2. Importable entities carry `import_batch_id` (rollback)
```
import_batch_id  uuid  NULL  -- tags every row written by one import run
```
Rollback = delete where `import_batch_id = ?`. Without it there is no undo, and an import
with no undo is one a user will never trust enough to run.

### 3. Model real-world actors as entities, not inline fields
A customer, contact, vendor, member, or tenant is an **entity with its own table**, even if
v1 only stores a name + phone. Reason: imports populate these **before** the dependent
records (quotes, orders, bookings) exist — an inline `customer_name` field on `Quote` has
**nowhere to land** an imported customer. Inline-actor is the single most common migration
blocker.

```
-- WRONG (blocks import):  Quote(... customer_contact text)
-- RIGHT:                   CustomerContact(id, ..., source_ref, import_batch_id)
                            Quote(... customer_contact_id → CustomerContact.id)
```

## Supporting rules (cheap, prevent silent data loss)

- **Money in integer minor units** (`*_cents`), never float — incumbent exports carry exact
  amounts; floats corrupt them.
- **Timestamps carry the source timezone** (store UTC + offset, or tz-aware) — exports use
  local times; ambiguous `MM/DD` and naive datetimes lose data.
- **Infra tables for integration bookkeeping exist in the model**: `outbound_message`
  (idempotent send guard), `processed_webhook_events` (event dedup). The
  integrations-engineer relies on them; enumerate them so they aren't a surprise.

## Checklist (architect runs this before finalizing the data model)

```
For each entity in the data model:
- [ ] Can it be imported from an incumbent or third-party? If yes → has source_ref + import_batch_id
- [ ] Is it a real-world actor (customer/contact/vendor/member)? If yes → it is its own entity, not an inline field
- [ ] Money fields integer minor units? Timestamps tz-aware?
- [ ] Listed the infra tables (outbound_message, processed_webhook_events) the integrations layer needs?
```

A data model that passes this checklist hands `migration-import-engineer` a destination it
can import into idempotently and reversibly — no blocked seam.

From avelikiy/great_cto, MIT.

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Forks
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Open issues
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Last commit (this folder)
Jul 6, 2026 (3 months ago)
Last release
Oct 23, 2026 (5 days ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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migration-ready-schema skill. Agent Mart. https://agentmart.dev/skills/avelikiy-migration-ready-schema (last updated 2026-10-24)