Skill v1.0.1
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version: "1.0.1" name: schema-design description: Use when designing database schemas, creating or modifying tables, choosing column types, adding indexes, or working with the Butterbase declarative schema DSL
Schema Design Skill
Reference guide for Butterbase's declarative schema DSL. Covers column types, constraints, indexes, and common data modeling patterns.
1. Overview
Butterbase uses a declarative schema DSL — you describe the desired end state of your database, and the platform computes and applies the diff. You never write raw ALTER TABLE or CREATE TABLE SQL. Instead, call manage_schema with action: "apply" and a JSON payload describing your tables, columns, and indexes.
The single manage_schema tool exposes four actions:
| Action | Purpose | |
|---|---|---|
"get" | Read the current schema | |
"dry_run" | Preview SQL that apply would execute, without running it | |
"apply" | Apply a declarative schema (diffs against current, runs safe DDL) | |
"list_migrations" | List applied migrations, most recent first |
Key principles:
- Idempotent: applying the same schema twice is safe — returns "Schema is up to date" if no changes needed
- Additive by default: new columns and tables are created automatically
- Explicit drops: destructive operations require opt-in via
_drop/_dropColumns - Preview first: use
action: "dry_run"to see what will change before committing - Transactional: each migration runs in a single transaction — all changes commit or all roll back
2. Column Types Reference
| Type | PostgreSQL | Use case | |
|---|---|---|---|
uuid | UUID | Primary keys, foreign keys | |
text | TEXT | Strings of any length | |
integer | INTEGER | Whole numbers (-2B to 2B) | |
bigint | BIGINT | Large whole numbers | |
boolean | BOOLEAN | True/false flags | |
timestamptz | TIMESTAMPTZ | Dates with timezone | |
jsonb | JSONB | Structured/semi-structured data | |
real | REAL | 32-bit floating point | |
double precision | DOUBLE PRECISION | 64-bit floating point | |
vector(N) | VECTOR(N) | Embeddings (pgvector); e.g. vector(1536) for OpenAI |
Always use `timestamptz` instead of `timestamp`.timestampsilently drops timezone info and causes subtle bugs with users in different time zones.
3. Column Properties
Each column is an object with the following properties:
| Property | Type | Required | Default | Description | ||
|---|---|---|---|---|---|---|
type | string | ✅ yes | — | Column data type (see §2) | ||
primaryKey | boolean | no | false | Mark as primary key | ||
nullable | boolean | no | true | Allow NULL values | ||
default | string | no | — | SQL expression for default value | ||
unique | boolean | no | false | Add unique constraint | ||
references | string \ | object | no | — | Foreign key target (see below) |
Foreign keys — short or long form
Short form (just the target):
"author_id": { "type": "uuid", "nullable": false, "references": "users.id" }
Long form (with cascade behavior):
"author_id": {"type": "uuid","nullable": false,"references": {"table": "users","column": "id","onDelete": "CASCADE","onUpdate": "NO ACTION"}}
onDelete / onUpdate accept CASCADE | SET NULL | SET DEFAULT | RESTRICT | NO ACTION (default NO ACTION).
Default expressions
Pass SQL expressions as strings:
"default": "gen_random_uuid()" // UUID primary keys"default": "now()" // Timestamps"default": "false" // Booleans"default": "0" // Integers"default": "'draft'" // String literals (single-quoted)
4. Standard Base Pattern
Every table should include these base columns:
{"id": { "type": "uuid", "primaryKey": true, "default": "gen_random_uuid()" },"created_at": { "type": "timestamptz", "nullable": false, "default": "now()" },"updated_at": { "type": "timestamptz", "nullable": false, "default": "now()" }}
If your app uses Row-Level Security (RLS), also add:
"user_id": { "type": "uuid", "nullable": false, "references": "users.id" }
Tables withoutuser_idcannot have per-user RLS policies applied later without a migration.
5. Index Types
method | Use case | Example opclass | |
|---|---|---|---|
btree | Default, range queries, sorting | — | |
hash | Exact-match lookups | — | |
gin | Full-text search on JSONB, arrays | jsonb_path_ops | |
gist | Geometric/spatial data | — | |
hnsw | Vector similarity (pgvector) | vector_cosine_ops | |
ivfflat | Vector similarity (large datasets) | vector_cosine_ops |
Index definition format
Indexes are defined per-table under the indexes key:
{"indexes": {"idx_posts_author": {"columns": ["author_id"],"method": "btree"},"idx_posts_embedding": {"columns": ["embedding"],"method": "hnsw","opclass": "vector_cosine_ops"},"idx_posts_content_search": {"columns": ["content"],"method": "gin"}}}
Index naming convention: idx_{table}_{column(s)} — e.g. idx_orders_user_id.
Composite indexes
"idx_members_workspace_user": {"columns": ["workspace_id", "user_id"],"method": "btree","unique": true}
6. Using manage_schema
All schema operations go through one tool with an action parameter:
manage_schema({ app_id, action: "get" })manage_schema({ app_id, action: "dry_run", schema })manage_schema({ app_id, action: "apply", schema, name }) // name is optionalmanage_schema({ app_id, action: "list_migrations" })
Creating new tables
Include the table definition in your schema payload and call action: "apply". The platform creates the table if it doesn't exist.
Adding columns to existing tables
Add the new column(s) to the existing table definition and call action: "apply". Existing rows receive the column's default value (or NULL if no default).
Destructive operations
Dropping tables and columns is opt-in and explicit. Without _drop / _dropColumns, the platform refuses with STATE_PREREQUISITE_MISSING.
{"schema": {"_drop": ["old_table_name", "another_old_table"]}}
Dropping columns from a specific table:
{"schema": {"posts": {"_dropColumns": ["legacy_field", "unused_col"],"columns": { ... }}}}
⚠️ Drops are irreversible. Always runaction: "dry_run"first.
Preview before commit
Use the same payload with action: "dry_run" to see the SQL that apply would execute — without touching the database:
// Preview only:manage_schema({ app_id, action: "dry_run", schema })// Commit:manage_schema({ app_id, action: "apply", schema, name: "add_posts_table" })
Common errors
| Code | Meaning | |
|---|---|---|
VALIDATION_INVALID_SCHEMA | Schema format doesn't match the DSL | |
STATE_PREREQUISITE_MISSING | Destructive op without _drop / _dropColumns | |
QUOTA_TABLE_LIMIT | Exceeds the per-app table limit | |
RESOURCE_NOT_FOUND | app_id does not exist |
7. Complete Patterns
A) Blog / CMS
{"app_id": "YOUR_APP_ID","action": "apply","schema": {"users": {"columns": {"id": { "type": "uuid", "primaryKey": true, "default": "gen_random_uuid()" },"email": { "type": "text", "nullable": false, "unique": true },"name": { "type": "text", "nullable": false },"avatar_url": { "type": "text" },"created_at": { "type": "timestamptz", "nullable": false, "default": "now()" },"updated_at": { "type": "timestamptz", "nullable": false, "default": "now()" }},"indexes": {"idx_users_email": { "columns": ["email"], "method": "btree", "unique": true }}},"categories": {"columns": {"id": { "type": "uuid", "primaryKey": true, "default": "gen_random_uuid()" },"name": { "type": "text", "nullable": false, "unique": true },"slug": { "type": "text", "nullable": false, "unique": true },"created_at": { "type": "timestamptz", "nullable": false, "default": "now()" },"updated_at": { "type": "timestamptz", "nullable": false, "default": "now()" }}},"posts": {"columns": {"id": { "type": "uuid", "primaryKey": true, "default": "gen_random_uuid()" },"author_id": { "type": "uuid", "nullable": false, "references": "users.id" },"category_id": { "type": "uuid", "references": "categories.id" },"title": { "type": "text", "nullable": false },"slug": { "type": "text", "nullable": false, "unique": true },"content": { "type": "text" },"excerpt": { "type": "text" },"published": { "type": "boolean", "nullable": false, "default": "false" },"published_at": { "type": "timestamptz" },"created_at": { "type": "timestamptz", "nullable": false, "default": "now()" },"updated_at": { "type": "timestamptz", "nullable": false, "default": "now()" }},"indexes": {"idx_posts_author_id": { "columns": ["author_id"], "method": "btree" },"idx_posts_category_id": { "columns": ["category_id"], "method": "btree" },"idx_posts_slug": { "columns": ["slug"], "method": "btree", "unique": true },"idx_posts_published": { "columns": ["published", "published_at"], "method": "btree" }}},"comments": {"columns": {"id": { "type": "uuid", "primaryKey": true, "default": "gen_random_uuid()" },"post_id": { "type": "uuid", "nullable": false, "references": "posts.id" },"author_id": { "type": "uuid", "nullable": false, "references": "users.id" },"content": { "type": "text", "nullable": false },"created_at": { "type": "timestamptz", "nullable": false, "default": "now()" },"updated_at": { "type": "timestamptz", "nullable": false, "default": "now()" }},"indexes": {"idx_comments_post_id": { "columns": ["post_id"], "method": "btree" },"idx_comments_author_id": { "columns": ["author_id"], "method": "btree" }}}}}
B) E-commerce
{"app_id": "YOUR_APP_ID","action": "apply","schema": {"products": {"columns": {"id": { "type": "uuid", "primaryKey": true, "default": "gen_random_uuid()" },"name": { "type": "text", "nullable": false },"description": { "type": "text" },"price": { "type": "integer", "nullable": false },"stock": { "type": "integer", "nullable": false, "default": "0" },"sku": { "type": "text", "unique": true },"metadata": { "type": "jsonb" },"created_at": { "type": "timestamptz", "nullable": false, "default": "now()" },"updated_at": { "type": "timestamptz", "nullable": false, "default": "now()" }},"indexes": {"idx_products_sku": { "columns": ["sku"], "method": "btree", "unique": true },"idx_products_metadata": { "columns": ["metadata"], "method": "gin", "opclass": "jsonb_path_ops" }}},"orders": {"columns": {"id": { "type": "uuid", "primaryKey": true, "default": "gen_random_uuid()" },"user_id": { "type": "uuid", "nullable": false, "references": "users.id" },"status": { "type": "text", "nullable": false, "default": "'pending'" },"total": { "type": "integer", "nullable": false, "default": "0" },"shipping_address": { "type": "jsonb" },"created_at": { "type": "timestamptz", "nullable": false, "default": "now()" },"updated_at": { "type": "timestamptz", "nullable": false, "default": "now()" }},"indexes": {"idx_orders_user_id": { "columns": ["user_id"], "method": "btree" },"idx_orders_status": { "columns": ["status"], "method": "btree" }}},"order_items": {"columns": {"id": { "type": "uuid", "primaryKey": true, "default": "gen_random_uuid()" },"order_id": { "type": "uuid", "nullable": false, "references": "orders.id" },"product_id": { "type": "uuid", "nullable": false, "references": "products.id" },"quantity": { "type": "integer", "nullable": false },"price": { "type": "integer", "nullable": false },"created_at": { "type": "timestamptz", "nullable": false, "default": "now()" },"updated_at": { "type": "timestamptz", "nullable": false, "default": "now()" }},"indexes": {"idx_order_items_order_id": { "columns": ["order_id"], "method": "btree" },"idx_order_items_product_id": { "columns": ["product_id"], "method": "btree" }}},"reviews": {"columns": {"id": { "type": "uuid", "primaryKey": true, "default": "gen_random_uuid()" },"product_id": { "type": "uuid", "nullable": false, "references": "products.id" },"user_id": { "type": "uuid", "nullable": false, "references": "users.id" },"rating": { "type": "integer", "nullable": false },"title": { "type": "text" },"body": { "type": "text" },"created_at": { "type": "timestamptz", "nullable": false, "default": "now()" },"updated_at": { "type": "timestamptz", "nullable": false, "default": "now()" }},"indexes": {"idx_reviews_product_id": { "columns": ["product_id"], "method": "btree" },"idx_reviews_user_id": { "columns": ["user_id"], "method": "btree" }}}}}
C) SaaS Multi-tenant
{"app_id": "YOUR_APP_ID","action": "apply","schema": {"workspaces": {"columns": {"id": { "type": "uuid", "primaryKey": true, "default": "gen_random_uuid()" },"name": { "type": "text", "nullable": false },"slug": { "type": "text", "nullable": false, "unique": true },"plan": { "type": "text", "nullable": false, "default": "'free'" },"settings": { "type": "jsonb" },"created_at": { "type": "timestamptz", "nullable": false, "default": "now()" },"updated_at": { "type": "timestamptz", "nullable": false, "default": "now()" }},"indexes": {"idx_workspaces_slug": { "columns": ["slug"], "method": "btree", "unique": true }}},"members": {"columns": {"id": { "type": "uuid", "primaryKey": true, "default": "gen_random_uuid()" },"workspace_id": { "type": "uuid", "nullable": false, "references": "workspaces.id" },"user_id": { "type": "uuid", "nullable": false, "references": "users.id" },"role": { "type": "text", "nullable": false, "default": "'member'" },"created_at": { "type": "timestamptz", "nullable": false, "default": "now()" },"updated_at": { "type": "timestamptz", "nullable": false, "default": "now()" }},"indexes": {"idx_members_workspace_user": { "columns": ["workspace_id", "user_id"], "method": "btree", "unique": true },"idx_members_user_id": { "columns": ["user_id"], "method": "btree" }}},"projects": {"columns": {"id": { "type": "uuid", "primaryKey": true, "default": "gen_random_uuid()" },"workspace_id": { "type": "uuid", "nullable": false, "references": "workspaces.id" },"name": { "type": "text", "nullable": false },"description": { "type": "text" },"archived": { "type": "boolean", "nullable": false, "default": "false" },"created_at": { "type": "timestamptz", "nullable": false, "default": "now()" },"updated_at": { "type": "timestamptz", "nullable": false, "default": "now()" }},"indexes": {"idx_projects_workspace_id": { "columns": ["workspace_id"], "method": "btree" }}},"tasks": {"columns": {"id": { "type": "uuid", "primaryKey": true, "default": "gen_random_uuid()" },"project_id": { "type": "uuid", "nullable": false, "references": "projects.id" },"assignee_id": { "type": "uuid", "references": "users.id" },"title": { "type": "text", "nullable": false },"description": { "type": "text" },"status": { "type": "text", "nullable": false, "default": "'todo'" },"priority": { "type": "text", "nullable": false, "default": "'medium'" },"due_date": { "type": "timestamptz" },"created_at": { "type": "timestamptz", "nullable": false, "default": "now()" },"updated_at": { "type": "timestamptz", "nullable": false, "default": "now()" }},"indexes": {"idx_tasks_project_id": { "columns": ["project_id"], "method": "btree" },"idx_tasks_assignee_id": { "columns": ["assignee_id"], "method": "btree" },"idx_tasks_status": { "columns": ["status"], "method": "btree" }}}}}
D) Social App
{"app_id": "YOUR_APP_ID","action": "apply","schema": {"profiles": {"columns": {"id": { "type": "uuid", "primaryKey": true, "default": "gen_random_uuid()" },"user_id": { "type": "uuid", "nullable": false, "unique": true, "references": "users.id" },"username": { "type": "text", "nullable": false, "unique": true },"bio": { "type": "text" },"avatar_id": { "type": "uuid" },"created_at": { "type": "timestamptz", "nullable": false, "default": "now()" },"updated_at": { "type": "timestamptz", "nullable": false, "default": "now()" }},"indexes": {"idx_profiles_username": { "columns": ["username"], "method": "btree", "unique": true },"idx_profiles_user_id": { "columns": ["user_id"], "method": "btree", "unique": true }}},"posts": {"columns": {"id": { "type": "uuid", "primaryKey": true, "default": "gen_random_uuid()" },"author_id": { "type": "uuid", "nullable": false, "references": "users.id" },"content": { "type": "text", "nullable": false },"media": { "type": "jsonb" },"created_at": { "type": "timestamptz", "nullable": false, "default": "now()" },"updated_at": { "type": "timestamptz", "nullable": false, "default": "now()" }},"indexes": {"idx_posts_author_id": { "columns": ["author_id"], "method": "btree" },"idx_posts_created_at": { "columns": ["created_at"], "method": "btree" }}},"follows": {"columns": {"id": { "type": "uuid", "primaryKey": true, "default": "gen_random_uuid()" },"follower_id": { "type": "uuid", "nullable": false, "references": "users.id" },"following_id": { "type": "uuid", "nullable": false, "references": "users.id" },"created_at": { "type": "timestamptz", "nullable": false, "default": "now()" }},"indexes": {"idx_follows_follower_following": { "columns": ["follower_id", "following_id"], "method": "btree", "unique": true },"idx_follows_following_id": { "columns": ["following_id"], "method": "btree" }}},"likes": {"columns": {"id": { "type": "uuid", "primaryKey": true, "default": "gen_random_uuid()" },"user_id": { "type": "uuid", "nullable": false, "references": "users.id" },"post_id": { "type": "uuid", "nullable": false, "references": "posts.id" },"created_at": { "type": "timestamptz", "nullable": false, "default": "now()" }},"indexes": {"idx_likes_user_post": { "columns": ["user_id", "post_id"], "method": "btree", "unique": true },"idx_likes_post_id": { "columns": ["post_id"], "method": "btree" }}}}}
8. Anti-Patterns
- Using `timestamp` instead of `timestamptz` —
timestampsilently drops timezone info, causing subtle bugs for users in different time zones. Always usetimestamptz.
- Forgetting `"default": "gen_random_uuid()"` on UUID primary keys — Without a default, inserts will fail unless the caller explicitly provides an ID. Always set this default.
- Omitting `created_at` / `updated_at` columns — These are essential for debugging, ordering, and audit trails. Include them on every table from the start; retrofitting them is painful.
- Not adding a `user_id` column on tables that will need RLS — Row-Level Security policies require a
user_idcolumn to exist. Adding it later requires a migration and backfill. Plan ahead.
- Over-indexing — Indexes speed up reads but add overhead to every write. Only index columns you actively query or sort by. Avoid indexing every column "just in case."
- Using `text` for booleans or enums — Use the
booleantype for true/false values. For enums,textis acceptable but consider adding a CHECK constraint or a lookup table for referential integrity.
- Storing file URLs directly — URLs change (CDN migrations, domain changes). Store the object's UUID (
avatar_id uuid) and resolve the URL at render time usinggenerate_download_url. This decouples your data from your storage topology.
If a docs/butterbase/00-state.md exists in the working directory, prefer invoking via /butterbase:journey-schema so the journey orchestrator stays in sync.