axiom-storage

charleswiltgen/axiom · updated Apr 8, 2026

MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.

$npx skills add https://github.com/charleswiltgen/axiom --skill axiom-storage
0 commentsdiscussion
summary

Purpose: Navigation hub for ALL storage decisions — database vs files, local vs cloud, specific locations

  • iOS Version: iOS 17+ (iOS 26+ for latest features)
  • Context: Complete storage decision framework integrating SwiftData (WWDC 2023), CKSyncEngine (WWDC 2023), and file management best practices
skill.md

iOS Storage Guide

Purpose: Navigation hub for ALL storage decisions — database vs files, local vs cloud, specific locations iOS Version: iOS 17+ (iOS 26+ for latest features) Context: Complete storage decision framework integrating SwiftData (WWDC 2023), CKSyncEngine (WWDC 2023), and file management best practices

When to Use This Skill

Use this skill when:

  • Starting a new project and choosing storage approach
  • Asking "where should I store this data?"
  • Deciding between SwiftData, Core Data, SQLite, or files
  • Choosing between CloudKit and iCloud Drive for sync
  • Determining Documents vs Caches vs Application Support
  • Planning data architecture for offline/online scenarios
  • Migrating from one storage solution to another
  • Debugging "files disappeared" or "data not syncing"

Do NOT use this skill for:

  • SwiftData implementation details (use axiom-swiftdata skill)
  • SQLite/GRDB specifics (use axiom-sqlitedata or axiom-grdb skills)
  • CloudKit sync implementation (use axiom-cloudkit-ref skill)
  • File protection APIs (use axiom-file-protection-ref skill)

Related Skills:

  • Existing database skills: axiom-swiftdata, axiom-sqlitedata, axiom-grdb
  • New file skills: axiom-file-protection-ref, axiom-storage-management-ref, axiom-storage-diag
  • New cloud skills: axiom-cloudkit-ref, axiom-icloud-drive-ref, axiom-cloud-sync-diag

Core Philosophy

"Choose the right tool for your data shape. Then choose the right location."

Storage decisions have two dimensions:

  1. Format: How is data structured? (Queryable records vs files)
  2. Location: Where is it stored? (Local vs cloud, which directory)

Getting the format wrong forces workarounds. Getting the location wrong causes data loss or backup bloat.


The Complete Decision Tree

Level 1: Format — What Are You Storing?

What is the shape of your data?

├─ STRUCTURED DATA (queryable records, relationships, search)
│   Examples: User profiles, task lists, notes, contacts, transactions
│   → Continue to "Structured Data Path" below
└─ FILES (documents, images, videos, downloads, caches)
    Examples: Photos, PDFs, downloaded content, thumbnails, temp files
    → Continue to "File Storage Path" below

Structured Data Path

Modern Apps (iOS 17+)

// ✅ CORRECT: SwiftData for modern structured persistence
import SwiftData

@Model
class Task {
    var title: String
    var isCompleted: Bool
    var dueDate: Date

    init(title: String, isCompleted: Bool = false, dueDate: Date) {
        self.title = title
        self.isCompleted = isCompleted
        self.dueDate = dueDate
    }
}

// Query with type safety
@Query(sort: \Task.dueDate) var tasks: [Task]

Why SwiftData:

  • Modern Swift-native API (no Objective-C)
  • Type-safe queries
  • Built-in CloudKit sync support
  • Observable models integrate with SwiftUI
  • Use skill: axiom-swiftdata for implementation details

When NOT to use SwiftData:

  • Need advanced SQLite features (FTS5, complex joins)
  • Existing Core Data app (migration overhead)
  • Ultra-performance-critical (direct SQLite is faster)

Advanced Control Needed

// ✅ CORRECT: SQLiteData or GRDB for advanced features
import SQLiteData

// Full-text search, custom indices, raw SQL when needed
let results = try db.prepare("SELECT * FROM users WHERE name MATCH ?", "John")

Use SQLiteData when:

  • Need full-text search (FTS5)
  • Custom SQL queries and indices
  • Maximum performance (direct SQLite)
  • Migration from existing SQLite database
  • Use skill: axiom-sqlitedata for modern SQLite patterns

Use GRDB when:

  • Need reactive queries (ValueObservation)
  • Complex database operations
  • Type-safe query builders
  • Use skill: axiom-grdb for advanced patterns

Legacy Apps (iOS 16 and earlier)

// ❌ LEGACY: Core Data (avoid for new projects)
import CoreData

// NSManagedObject, NSFetchRequest, NSPredicate...

Only use Core Data if:

  • Maintaining existing Core Data app
  • Can't upgrade to iOS 17 minimum deployment

File Storage Path

Decision Tree for Files

What kind of file is it?

├─ USER-CREATED CONTENT (documents, photos created by user)
│   Where: Documents/ directory
│   Backed up: ✅ Yes (iCloud/iTunes)
│   Purged: ❌ Never
│   Visible in Files app: ✅ Yes
│   Example: User's edited photos, documents, exported data
│   → See "Documents Directory" section below
├─ APP-GENERATED DATA (not user-visible, must persist)
│   Where: Library/Application Support/
│   Backed up: ✅ Yes
│   Purged: ❌ Never
│   Visible in Files app: ❌ No
│   Example: Database files, user settings, downloaded assets
│   → See "Application Support Directory" section below
├─ RE-DOWNLOADABLE / REGENERABLE CONTENT
│   Where: Library/Caches/
│   Backed up: ❌ No (set isExcludedFromBackup)
│   Purged: ✅ Yes (under storage pressure)
│   Example: Thumbnails, API responses, downloaded images
│   → See "Caches Directory" section below
└─ TEMPORARY FILES (can be deleted anytime)
    Where: tmp/
    Backed up: ❌ No
    Purged: ✅ Yes (aggressive, even while app running)
    Example: Image processing intermediates, export staging
    → See "Temporary Directory" section below

Documents Directory

// ✅ CORRECT: User-created content in Documents
func saveUserDocument(_ data: Data, filename: String) throws {
    let documentsURL = FileManager.default.urls(
        for: .documentDirectory,
        in: .userDomainMask
    )[0]

    let fileURL = documentsURL.appendingPathComponent(filename)

    // Enable file protection
    try data.write(to: fileURL, options: .completeFileProtection)
}

Key rules:

  • ✅ DO store: User-created documents, exported files, user-visible content
  • ❌ DON'T store: Downloaded data that can be re-fetched, caches, temp files
  • ⚠️ WARNING: Everything here is backed up to iCloud. Large re-downloadable files will bloat backups and may get your app rejected.

Use skill: axiom-file-protection-ref for encryption options

Application Support Directory

// ✅ CORRECT: App data in Application Support
func getAppDataURL() -> URL {
    let appSupportURL = FileManager.default.urls(
        for: .applicationSupportDirectory,
        in: .userDomainMask
    )[0]

    // Create app-specific subdirectory
    let appDataURL = appSupportURL.appendingPathComponent(
        Bundle.main.bundleIdentifier ?? "AppData"
    )

    try? FileManager.default.createDirectory(
        at: appDataURL,
        withIntermediateDirectories: true
    )

    return appDataURL
}

Use for:

  • SwiftData/SQLite database files
  • User preferences
  • Downloaded assets that must persist
  • Configuration files

Caches Directory

// ✅ CORRECT: Re-downloadable content in Caches
func cacheDownloadedImage(data: Data, for url: URL) throws {
    let cacheURL = FileManager.default.urls(
        for: .cachesDirectory,
        in: .userDomainMask
    )[0]

    let filename = url.lastPathComponent
    let fileURL = cacheURL.appendingPathComponent(filename)

    try data.write(to: fileURL)

    // Mark as excluded from backup (explicit, though Caches is auto-excluded)
    var resourceValues = URLResourceValues()
    resourceValues.isExcludedFromBackup = true
    try fileURL.setResourceValues(resourceValues)
}

Key rules:

  • ✅ The system CAN and WILL delete files here under storage pressure
  • ✅ Always have a way to re-download or regenerate
  • ❌ Don't store anything that can't be recreated

Use skill: axiom-storage-management-ref for purge policies and disk space management

Temporary Directory

// ✅ CORRECT: Truly temporary files in tmp
func processImageWithTempFile(image: UIImage) throws {
    let tmpURL = FileManager.default.temporaryDirectory
    let tempFileURL = tmpURL.appendingPathComponent(UUID().uuidString + ".jpg")

    // Write temp file
    try image.jpegData(compressionQuality: 0.8)?
how to use axiom-storage

How to use axiom-storage on Cursor

AI-first code editor with Composer

1

Prerequisites

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-storage
2

Execute 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-storage

The skills CLI fetches axiom-storage from GitHub repository charleswiltgen/axiom and configures it for Cursor.

3

Select 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
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/axiom-storage

Reload or restart Cursor to activate axiom-storage. Access the skill through slash commands (e.g., /axiom-storage) 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.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

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. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 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

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.653 reviews
  • Oshnikdeep· Dec 28, 2024

    Registry listing for axiom-storage matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Zara Mensah· Dec 24, 2024

    Keeps context tight: axiom-storage is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Hassan Johnson· Dec 24, 2024

    Solid pick for teams standardizing on skills: axiom-storage is focused, and the summary matches what you get after install.

  • Arjun Martin· Dec 20, 2024

    We added axiom-storage from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Piyush G· Dec 4, 2024

    axiom-storage is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Ganesh Mohane· Nov 19, 2024

    axiom-storage reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Hassan Brown· Nov 15, 2024

    We added axiom-storage from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Naina Agarwal· Nov 15, 2024

    axiom-storage has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Hassan Robinson· Nov 11, 2024

    Keeps context tight: axiom-storage is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Sakshi Patil· Oct 10, 2024

    I recommend axiom-storage for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

showing 1-10 of 53

1 / 6