FOSMVVM Fluent DataModel Generator
/install fosmvvm-fluent-datamodel-generator
FOSMVVM Fluent DataModel Generator
Generate Fluent DataModels for server-side persistence following FOSMVVM architecture.
Dependency: This skill uses fosmvvm-fields-generator for the Fields layer (protocol, messages, YAML). Run that skill first for form-backed models.
Scope Guard
This skill is specifically for Fluent persistence layer (typically in Vapor server apps).
STOP and ask the user if:
- The project doesn't use Fluent
- The target is iOS-only with CoreData, SwiftData, or Realm
- The user mentions a non-Fluent ORM or persistence layer
- You're unsure whether Fluent is the persistence layer
Check for Fluent indicators:
Package.swiftimportsfluent,fluent-postgres-driver,fluent-sqlite-driver, etc.- Existing models use
@ID,@Field,@Parent,@Children,@Siblingsproperty wrappers - A
Migrations/directory exists with Fluent migration patterns - Imports include
FluentKitorFluent
If Fluent isn't present, inform the user: "This skill generates Fluent DataModels for server-side persistence. Your project doesn't appear to use Fluent. How would you like to proceed?"
When to Use This Skill
- User asks to create a new model/entity/table
- User wants to add a database-backed type (Users, Ideas, Documents, etc.)
- User mentions needing CRUD operations for a new concept
- Creating the persistence layer for a new entity
Architecture Context
In FOSMVVM, the Model is the center - the source of truth that reads and writes flow through.
See FOSMVVMArchitecture.md | OpenClaw reference for full context.
DataModel in the Architecture
┌─────────────────────────────────────┐
│ Fluent DataModel │
│ (implements Model + Fields) │
│ │
│ • All fields (system + user) │
│ • Relationships (@Parent, etc.) │
│ • Timestamps, audit fields │
│ • Persistence logic │
└──────────────┬──────────────────────┘
│
┌────────────────────┼────────────────────────┐
│ │ │
▼ ▼ ▼
┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐
│ ViewModelFactory│ │ CreateRequest │ │ UpdateRequest │
│ (projector) │ │ RequestBody │ │ RequestBody │
│ │ │ │ │ │
│ → ViewModel │ │ → persists to │ │ → updates │
│ (projection) │ │ DataModel │ │ DataModel │
└─────────────────┘ └─────────────────┘ └─────────────────┘
Fields vs DataModels
Fields protocol = Form input (user-editable subset)
- What users type into forms
- Validation, labels, placeholders
- NO relationships, NO system-assigned fields
DataModel = Complete entity (Fluent implementation)
- All fields including system-assigned (createdBy, timestamps)
- All relationships (@Parent, @Siblings, @Children)
- Fluent property wrappers, migrations, seeds
Not all entities need Fields:
- Session: system auth, no user form → DataModel-only
- Audit records: system-generated → DataModel-only
- Junction tables: pure storage → DataModel-only
File Structure
Each form-backed model requires files across multiple targets:
── fosmvvm-fields-generator ──────────────────────────────────
{ViewModelsTarget}/ (shared protocol layer)
FieldModels/
{Model}Fields.swift ← Protocol + Enum + Validation
{Model}FieldsMessages.swift ← Localization message struct
{ResourcesPath}/ (localization resources)
FieldModels/
{Model}FieldsMessages.yml ← YAML localization strings
── fosmvvm-fluent-datamodel-generator (this skill) ───────────
{WebServerTarget}/ (server implementation)
DataModels/
{Model}.swift ← Fluent model (implements protocol)
Migrations/
{Model}+Schema.swift ← Table creation migration
{Model}+Seed.swift ← Seed data migration
Tests/
{ViewModelsTarget}Tests/
FieldModels/
{Model}FieldsTests.swift ← Unit tests
database.swift ← Register migrations
How to Use This Skill
Invocation: /fosmvvm-fluent-datamodel-generator
Prerequisites:
- Model structure understood from conversation context
- Fields protocol exists (if form-backed model) via fosmvvm-fields-generator
- Relationships and system-assigned fields identified
- Fluent confirmed as the persistence layer
Workflow integration: This skill is used for server-side persistence with Fluent. For form-backed models, run fosmvvm-fields-generator first to create the Fields protocol. The skill references conversation context automatically—no file paths or Q&A needed.
Pattern Implementation
This skill references conversation context to determine DataModel structure:
Model Type Detection
From conversation context, the skill identifies:
- Entity purpose (user data, system records, audit logs, junction table)
- User input involvement (form-backed vs system-generated)
- Fields protocol requirement (if user edits this data)
Relationship Analysis
From requirements already in context:
- One-to-many relationships (@Parent in DataModel, not in Fields)
- Many-to-many relationships (Junction table + @Siblings, NOT UUID arrays)
- Relationship naming (self-documenting names, not vague references)
Field Classification
Based on data source:
- User-editable fields (from Fields protocol)
- System-assigned fields (createdBy, timestamps, status - DataModel only)
- Computed relationships (@Parent, @Children, @Siblings)
File Generation Order
If form-backed model (Fields protocol exists):
- Fields layer already created via fosmvvm-fields-generator
- DataModel implementation referencing Fields
- Schema migration
- Seed data migration
- Tests
- Migration registration
If system-only model (no Fields):
- DataModel struct
- Schema migration
- Seed data migration (if needed)
- Tests
- Migration registration
Design Validation
Before generating, the skill validates:
- Form requirement - System-generated entities skip Fields
- Relationship patterns - Junction tables for many-to-many, @Parent for foreign keys
- Naming clarity - Relationships have self-documenting names
- Field separation - User fields in protocol, system fields in DataModel only
Context Sources
Skill references information from:
- Prior conversation: Model requirements, relationships discussed
- Fields protocol: If Claude has read Fields protocol into context or just created it
- Database schema: From codebase analysis of existing models
- Migration patterns: From existing migrations in project
File Templates
See reference.md for complete file templates with all patterns.
Key Patterns
Fluent DataModel
import FluentKit
import FOSFoundation
import FOSMVVM
import FOSMVVMVapor
import Foundation
final class {Model}: DataModel, {Model}Fields, Hashable, @unchecked Sendable {
static let schema = "{models}" // snake_case plural
@ID(key: .id) var id: ModelIdType?
// Fields from protocol
@Field(key: "field_name") var fieldName: FieldType
// Validation messages
let {model}ValidationMessages: {Model}FieldsMessages
// Timestamps
@Timestamp(key: "created_at", on: .create) var createdAt: Date?
@Timestamp(key: "updated_at", on: .update) var updatedAt: Date?
// CRITICAL: Initialize validationMessages FIRST
init() {
self.{model}ValidationMessages = .init()
}
init(id: ModelIdType? = nil, fieldName: FieldType) {
self.{model}ValidationMessages = .init() // FIRST!
self.id = id
self.fieldName = fieldName
}
}
Relationships (Associated Types Pattern)
PRINCIPLE: Existential types (any Protocol) are a code smell. Always ask "Is there any other way?" before using them.
For required relationships, use associated types in the protocol:
public protocol IdeaFields: ValidatableModel, Codable, Sendable {
associatedtype User: UserFields
var createdBy: User { get set }
}
In the Fluent model, @Parent directly satisfies the protocol:
final class Idea: DataModel, IdeaFields, Hashable, @unchecked Sendable {
@Parent(key: "created_by") var createdBy: User
// No computed property needed - @Parent satisfies the associated type directly
}
In schema: .field("created_by", .uuid, .required, .references(User.schema, "id", onDelete: .cascade))
When to use each pattern:
- Associated type (
associatedtype User: UserFields): Required relationships - Optional associated type: Not supported - use
ModelIdType?for optional FKs - Plain
ModelIdType: Optional FKs, external system references
Migrations
- Schema migration named:
"{Model.schema}-initial" - Seed migration named:
"{Model.schema}-seed" - Seed is environment-aware (debug, test, release)
- Seed is idempotent:
guard count() == 0
Raw SQL in Migrations (PostgreSQL Features)
For PostgreSQL-specific features (tsvector, LTREE, etc.), use SQLKit:
import Fluent
import SQLKit // Required for raw SQL
// In prepare():
guard let sql = database as? any SQLDatabase else { return }
let schema = Model.schema
try await sql.raw(SQLQueryString("ALTER TABLE \(unsafeRaw: schema) ADD COLUMN search_vector tsvector")).run()
Key points:
- Import
SQLKit(not justFluent) - Cast database:
database as? any SQLDatabase - Use
SQLQueryStringwith\(unsafeRaw:)for identifiers - These columns are database-only (not in protocol or Fluent model)
Tests
- Use
@Suiteannotation with descriptive name - Conform to
LocalizableTestCase - Test all form fields
- Test validation with
@Test(arguments:) - Create private test struct implementing the Fields protocol
Test structs with associated types:
private struct TestIdea: IdeaFields {
typealias User = TestUser // Satisfy the associated type
var id: ModelIdType?
var createdBy: TestUser // Concrete type, not existential
}
private struct TestUser: UserFields {
var id: ModelIdType? = .init()
var firstName: String = "Test"
// ... other required fields with defaults
}
Naming Conventions
| Concept | Convention | Example |
|---|---|---|
| Model class | PascalCase singular | User, Idea |
| Table name | snake_case plural | users, ideas |
| Field keys | snake_case | created_at, user_id |
| Enum cases | camelCase | searchLanguage, inProgress |
| Enum raw values | snake_case | "search_language", "in_progress" |
| Protocol | {Model}Fields |
UserFields, IdeaFields |
| Messages struct | {Model}FieldsMessages |
UserFieldsMessages |
Common Field Types
| Swift Type | Fluent Type | Database |
|---|---|---|
String |
.string |
VARCHAR/TEXT |
Int |
.int |
INTEGER |
Bool |
.bool |
BOOLEAN |
Date |
.datetime |
TIMESTAMPTZ |
UUID |
.uuid |
UUID |
[UUID] |
.array(of: .uuid) |
UUID[] |
| Custom Enum | .string |
VARCHAR (stored as raw value) |
JSONB |
.json |
JSONB |
See Also
- FOSMVVMArchitecture.md - Full FOSMVVM architecture
- fosmvvm-fields-generator - For form validation (Fields protocols)
- fosmvvm-viewmodel-generator - For ViewModels that project from DataModels
- reference.md - Complete file templates
Version History
| Version | Date | Changes |
|---|---|---|
| 1.0 | 2025-12-23 | Initial skill based on SystemConfig pattern |
| 1.1 | 2025-12-23 | Added relationship patterns (@Parent), initialization order, imports list |
| 1.2 | 2025-12-23 | Associated types for relationships (not existentials), raw SQL patterns, test struct patterns |
| 1.3 | 2025-12-24 | Factored out Fields layer to fields-generator skill |
| 2.0 | 2025-12-26 | Renamed to fosmvvm-fluent-datamodel-generator, added Scope Guard, generalized from Kairos-specific to FOSMVVM patterns, added architecture context |
| 2.1 | 2026-01-24 | Update to context-aware approach (remove file-parsing/Q&A). Skill references conversation context instead of asking questions or accepting file paths. |
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install fosmvvm-fluent-datamodel-generator - 安装完成后,直接呼叫该 Skill 的名称或使用
/fosmvvm-fluent-datamodel-generator触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
FOSMVVM Fluent DataModel Generator 是什么?
Generate Fluent DataModels with migrations and tests for FOSMVVM server-side persistence, including relationships and system-assigned fields, based on existi... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 697 次。
如何安装 FOSMVVM Fluent DataModel Generator?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install fosmvvm-fluent-datamodel-generator」即可一键安装,无需额外配置。
FOSMVVM Fluent DataModel Generator 是免费的吗?
是的,FOSMVVM Fluent DataModel Generator 完全免费(开源免费),可自由下载、安装和使用。
FOSMVVM Fluent DataModel Generator 支持哪些平台?
FOSMVVM Fluent DataModel Generator 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(darwin, linux)。
谁开发了 FOSMVVM Fluent DataModel Generator?
由 David Hunt(@foscomputerservices)开发并维护,当前版本 v2.0.6。