Factory db schema architect
Skill nonlinear-xyz/factory-kit/skills/factory-db-schema-architect
Personal Claude Code factory — synthesized cross-build skills, specialist subagents, and slash commands. Phase 0.
npx -y skills add nonlinear-xyz/factory-kit --skill factory-db-schema-architectAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
One thing to look at
- 9 stars9 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
What its author says it does
Copied from the file, not written here
Use when designing or modifying database schemas, migrations, multi-tenant data models, or polymorphic table structures. Carries the factory's data-layer conventions — Drizzle with domain-partitioned schema modules, `_shared.ts` with `timestamps` helper and `pgTableCreator`, org-keyed FKs with cascade delete, JSONB envelope for non-query-driving data, polymorphic table patterns (shared base + variant tables), schema-derived type exports, ESLint Drizzle WHERE-enforcement, soft-delete mixin (Python). Produces schema files that fit the house style — not generic Postgres tables.
SKILL.md
5.9 KB, as published. Nobody here has run it
Apply the db-schema-architect specialist workflow. Design schemas grounded in the factory's data-layer conventions, not generic SQL. Load factory-data-layer and factory-stack through the host's skill capability when needed.
How to think (in order)
-
What entities are in scope? Restate the request — name every entity, every relationship. If the user asks for "a customer model," check whether they mean (a) just
customers, or (b)customers + addresses + contacts + .... Commit to the interpretation; flag the assumption. -
Multi-tenant key? Almost always yes. Every domain table gets
orgId(orworkspaceId/projectId) FK withonDelete: 'cascade'. If this is a shared-reference table (countries, states, vehicle types), call out that it's tenant-agnostic. -
Polymorphic? If entities share a base type but diverge significantly (ICE vs BEV vehicles, individual vs business accounts), use the shared-base + variant-tables pattern from
factory-data-layer.md. Don't reach for nullable columns ordiscriminator: 'type'. -
JSONB or columns? For each field, ask: "Does anything query / sort / filter on this?"
- Yes → real column
- No, but it's structured → JSONB envelope (
customAttributes,metadata,config) - No, and it's blob-shaped → external storage (S3) with a pointer column
-
Partition by domain? Check
src/server/db/schemas/:- If
_shared.tsexists withtimestampsandpgTableCreator, reuse them - If not, create them as part of this work
- Pick / create the domain file (e.g.
fleet.ts,payments.ts)
- If
-
Soft-delete or hard-delete? Default to hard-delete (with cascade). Use soft-delete when:
- Regulatory requirement (audit history must persist)
- User-facing "trash bin" UX
- References across tenants where hard delete would break referential integrity
-
Migration shape?
drizzle-kit generatefrom the schema diff. Name the migration file:- Timestamps:
<unix>_<verb_subject>.sql(preferred) - Or sequential:
000N_<verb_subject>.sql - Pick one convention per project and stick. Mixed naming is a
factory-pitfalls.mdentry.
- Timestamps:
-
ESLint Drizzle rules? If
eslint-plugin-drizzleisn't installed, recommend adding it for the WHERE enforcement on UPDATE/DELETE.
Reference: canonical schema file shape
// src/server/db/schemas/customers.ts
import { uuid, text, jsonb, pgEnum } from 'drizzle-orm/pg-core';
import { pgTable, timestamps } from './_shared';
import { organizations } from './auth';
export const customerStatus = pgEnum('customer_status', ['active', 'inactive', 'pending']);
export const customers = pgTable('customers', {
id: uuid('id').defaultRandom().primaryKey(),
orgId: uuid('org_id').references(() => organizations.id, { onDelete: 'cascade' }).notNull(),
name: text('name').notNull(),
email: text('email'),
status: customerStatus('status').notNull().default('pending'),
customAttributes: jsonb('custom_attributes').$type<Record<string, unknown>>().default({}),
...timestamps,
});
export type Customer = typeof customers.$inferSelect;
export type NewCustomer = typeof customers.$inferInsert;
// src/server/db/schemas/_shared.ts (create if missing)
import { pgTableCreator, timestamp } from 'drizzle-orm/pg-core';
export const pgTable = pgTableCreator((name) => `myapp_${name}`);
export const timestamps = {
createdAt: timestamp('created_at').defaultNow().notNull(),
updatedAt: timestamp('updated_at').defaultNow().notNull().$onUpdate(() => new Date()),
};
Output format
## Restated request
<one sentence — entities, relationships>
## Entities
- <entity>: <fields, relationships, tenancy key>
## Schema decisions
- Multi-tenant key: <orgId / workspaceId / N/A — why>
- Polymorphic: <yes/no — and shape>
- JSONB fields: <which fields, why>
- Soft-delete: <yes/no — why>
- Migration naming: <timestamps / sequential — flag if pre-existing convention differs>
## Files to create or modify
<bulleted with paths>
## Schema code
<actual Drizzle code, organized by file>
## Migration plan
<drizzle-kit generate command + resulting migration filename>
## ESLint check
- WHERE enforcement on UPDATE/DELETE: <enabled / recommend enabling>
## Open questions
<things the user should confirm>
What you do NOT do
- Don't skip the org FK on domain tables. Every tenant-scoped table has it with
onDelete: 'cascade'. - Don't put the whole schema in one file. Domain-partitioned modules.
- Don't define entity types separately from the schema. Use
$inferSelect/$inferInsert. - Don't allow nullable-column proliferation. Polymorphic? Use shared-base + variants.
- Don't mix migration-file naming conventions within a project.
- Don't run migrations at runtime. CI's job — see
factory-deployment.md. - Don't put queryable data in JSONB. If something filters / sorts on it, it's a column.
- Don't reach for raw SQL. Drizzle handles everything Postgres can do.
- Don't add
updatedAtmanually. Use thetimestampsspread from_shared.ts.
When the request is too small for this framework
If the user asks to add a single column to an existing table, do it directly with a migration. The framework is for new tables, new entities, or non-trivial schema evolution.