axiom-swiftdata-migration▌
charleswiltgen/axiom · updated Apr 8, 2026
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SwiftData schema migrations move your data safely when models change. Core principle SwiftData's willMigrate sees only OLD models, didMigrate sees only NEW models—you can never access both simultaneously. This limitation shapes all migration strategies.
SwiftData Custom Schema Migrations
Overview
SwiftData schema migrations move your data safely when models change. Core principle SwiftData's willMigrate sees only OLD models, didMigrate sees only NEW models—you can never access both simultaneously. This limitation shapes all migration strategies.
Requires iOS 17+, Swift 5.9+
Target iOS 26+ (features like propertiesToFetch)
When Custom Migrations Are Required
Lightweight Migrations (Automatic)
SwiftData can migrate automatically for:
- ✅ Adding new optional properties
- ✅ Adding new required properties with default values
- ✅ Removing properties
- ✅ Renaming properties (with
@Attribute(originalName:)) - ✅ Changing relationship delete rules
- ✅ Adding new models
Custom Migrations (This Skill)
You need custom migrations for:
- ❌ Changing property types (
String→AttributedString,Int→String) - ❌ Making optional properties required (must populate existing nulls)
- ❌ Complex relationship restructuring
- ❌ Data transformations (splitting/merging fields)
- ❌ Deduplication when adding unique constraints
Example Prompts
These are real questions developers ask that this skill is designed to answer:
1. "I need to change a property from String to AttributedString. How do I migrate existing data with relationships intact?"
→ The skill shows the two-stage migration pattern that works around the willMigrate/didMigrate limitation
2. "My model has a one-to-many relationship with cascade delete. How do I preserve this during a type change migration?"
→ The skill explains relationship prefetching and maintaining inverse relationships across schema versions
3. "I have a many-to-many relationship between Tags and Notes. The migration is failing with 'Expected only Arrays for Relationships'. What's wrong?"
→ The skill covers explicit inverse relationship requirements and iOS 17.0 alphabetical naming bug
4. "I need to rename a model but keep all its relationships intact."
→ The skill shows @Attribute(originalName:) patterns for lightweight migration
5. "My migration works in the simulator but crashes on a real device with existing data."
→ The skill emphasizes real-device testing and explains why simulator success doesn't guarantee production safety
6. "Why do I have to copy ALL my models into each VersionedSchema, even ones that haven't changed?"
→ The skill explains SwiftData's design: each VersionedSchema is a complete snapshot, not a diff
7. "I'm getting 'The model used to open the store is incompatible with the one used to create the store' error."
→ The skill provides debugging steps for schema version mismatches
8. "How do I test my SwiftData migration before releasing to production?"
→ The skill covers migration testing workflow, real device testing requirements, and validation strategies
The willMigrate/didMigrate Limitation
CRITICAL This is the architectural constraint that shapes all SwiftData migration patterns.
What You Can Access
static let migrateV1toV2 = MigrationStage.custom(
fromVersion: SchemaV1.self,
toVersion: SchemaV2.self,
willMigrate: { context in
// ✅ CAN access: SchemaV1 models (old)
let v1Notes = try context.fetch(FetchDescriptor<SchemaV1.Note>())
// ❌ CANNOT access: SchemaV2 models
// SchemaV2.Note doesn't exist yet
},
didMigrate: { context in
// ✅ CAN access: SchemaV2 models (new)
let v2Notes = try context.fetch(FetchDescriptor<SchemaV2.Note>())
// ❌ CANNOT access: SchemaV1 models
// SchemaV1.Note is gone
}
)
Why This Matters
You cannot directly transform data from old type to new type in a single migration stage. Example:
// ❌ IMPOSSIBLE - you can't do this in one stage
willMigrate: { context in
let oldNotes = try context.fetch(FetchDescriptor<SchemaV1.Note>())
for oldNote in oldNotes {
let newNote = SchemaV2.Note() // ❌ Doesn't exist yet!
newNote.content = oldNote.contentAsAttributedString()
}
}
Solution Use two-stage migration pattern (covered below).
Core Patterns
Pattern 1: Basic VersionedSchema Setup
Every distinct schema version must be defined as a VersionedSchema.
import SwiftData
enum NotesSchemaV1: VersionedSchema {
static var versionIdentifier = Schema.Version(1, 0, 0)
static var models: [any PersistentModel.Type] {
[Note.self, Folder.self, Tag.self] // ALL models, even if unchanged
}
@Model
final class Note {
@Attribute(.unique) var id: String
var title: String
var content: String // Original type
var createdAt: Date
@Relationship(deleteRule: .nullify, inverse: \Folder.notes)
var folder: Folder?
@Relationship(deleteRule: .nullify, inverse: \Tag.notes)
var tags: [Tag] = []
init(id: String, title: String, content: String, createdAt: Date) {
self.id = id
self.title = title
self.content = content
self.createdAt = createdAt
}
}
@Model
final class Folder {
@Attribute(.unique) var id: String
var name: String
@Relationship(deleteRule: .cascade)
var notes: [Note] = []
init(id: String, name: String) {
self.id = id
self.name = name
}
}
@Model
final class Tag {
@Attribute(.unique) var id: String
var name: String
@Relationship(deleteRule: .nullify)
var notes: [Note] = []
init(id: String, name: String) {
self.id = id
self.name = name
}
}
}
Key patterns
- Complete snapshot All models included, even unchanged ones
- Semantic versioning Use Schema.Version(major, minor, patch)
- Explicit init SwiftData doesn't synthesize initializers
- Inverse relationships Specify on both sides for bidirectional
Pattern 2: Two-Stage Migration for Type Changes
Use when Changing property type (String → AttributedString, Int → String, etc.)
Problem
We want to change Note.content from String to AttributedString, but we can't access both old and new types simultaneously.
Solution
Use an intermediate schema version (V1.1) that has BOTH properties.
// Stage 1: V1 → V1.1 (Add new property alongside old)
enum NotesSchemaV1_1: VersionedSchema {
static var versionIdentifier = Schema.Version(1, 1, 0)
static var models: [any PersistentModel.Type] {
[Note.self, Folder.self, Tag.self]
how to use axiom-swiftdata-migrationHow to use axiom-swiftdata-migration on Cursor
AI-first code editor with Composer
1Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add axiom-swiftdata-migration
2Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
$npx skills add https://github.com/charleswiltgen/axiom --skill axiom-swiftdata-migrationThe skills CLI fetches axiom-swiftdata-migration from GitHub repository charleswiltgen/axiom and configures it for Cursor.
3Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
◆ Which agents do you want to install to?││ ── Universal (.agents/skills) ── always included ────│ • Amp│ • Antigravity│ • Cline│ • Codex│ ●Cursor(selected)│ • Cursor│ • Windsurf4Verify installation
Confirm successful installation by checking the skill directory location:
.cursor/skills/axiom-swiftdata-migrationReload or restart Cursor to activate axiom-swiftdata-migration. Access the skill through slash commands (e.g., /axiom-swiftdata-migration) or your agent's skill management interface.
⚠Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
Additional Resources
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GET_STARTED →Use Cases▌
User Story & Requirements Generation
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
✓Reduce spec writing time by 50%, ensure comprehensive coverage
Competitive Analysis
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
✓Complete competitive research in 2 hours instead of 2 days
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
✓Make data-driven prioritization decisions faster
Stakeholder Communication
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
✓Save 3-5 hours/week on communication overhead
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Installation Steps
- 1.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 7.Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices▌
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This▌
✓ Use When
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid When
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
Learning Path▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
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general reviewsRatings
4.6★★★★★49 reviews- ★★★★★Aditi Farah· Dec 20, 2024
Useful defaults in axiom-swiftdata-migration — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Carlos Jain· Dec 12, 2024
axiom-swiftdata-migration has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Sofia Jackson· Dec 8, 2024
Solid pick for teams standardizing on skills: axiom-swiftdata-migration is focused, and the summary matches what you get after install.
- ★★★★★Aditi Liu· Nov 19, 2024
We added axiom-swiftdata-migration from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Aditi Abebe· Nov 11, 2024
I recommend axiom-swiftdata-migration for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Luis Farah· Nov 3, 2024
axiom-swiftdata-migration reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Hiroshi Nasser· Oct 22, 2024
I recommend axiom-swiftdata-migration for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Aditi Dixit· Oct 10, 2024
Solid pick for teams standardizing on skills: axiom-swiftdata-migration is focused, and the summary matches what you get after install.
- ★★★★★Mei Bansal· Oct 2, 2024
axiom-swiftdata-migration reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Maya Bansal· Sep 13, 2024
axiom-swiftdata-migration reduced setup friction for our internal harness; good balance of opinion and flexibility.
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