axiom-sqlitedata-ref

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-sqlitedata-ref
0 commentsdiscussion
summary

Advanced query patterns and schema composition techniques for SQLiteData by Point-Free. Built on GRDB and StructuredQueries.

skill.md

SQLiteData Advanced Reference

Overview

Advanced query patterns and schema composition techniques for SQLiteData by Point-Free. Built on GRDB and StructuredQueries.

For core patterns (CRUD, CloudKit setup, @Table basics), see the axiom-sqlitedata discipline skill.

This reference covers advanced querying, schema composition, views, and custom aggregates.

Requires iOS 17+, Swift 6 strict concurrency Framework SQLiteData 1.4+


Column Groups and Schema Composition

SQLiteData provides powerful tools for composing schema types, enabling reuse, better organization, and single-table inheritance patterns.

Column Groups

Group related columns into reusable types with @Selection:

// Define a reusable column group
@Selection
struct Timestamps {
    let createdAt: Date
    let updatedAt: Date?
}

// Use in multiple tables
@Table
nonisolated struct RemindersList: Identifiable {
    let id: UUID
    var title = ""
    let timestamps: Timestamps  // Embedded column group
}

@Table
nonisolated struct Reminder: Identifiable {
    let id: UUID
    var title = ""
    var isCompleted = false
    let timestamps: Timestamps  // Same group, reused
}

Important: SQLite has no concept of grouped columns. Flatten all groupings in your CREATE TABLE:

CREATE TABLE "remindersLists" (
    "id" TEXT PRIMARY KEY NOT NULL DEFAULT (uuid()),
    "title" TEXT NOT NULL DEFAULT '',
    "createdAt" TEXT NOT NULL,
    "updatedAt" TEXT
) STRICT

Querying Column Groups

Access fields inside groups with dot syntax:

// Query a field inside the group
RemindersList
    .where { $0.timestamps.createdAt <= cutoffDate }
    .fetchAll(db)

// Compare entire group (flattens to tuple in SQL)
RemindersList
    .where {
        $0.timestamps <= Timestamps(createdAt: date1, updatedAt: date2)
    }

Nesting Groups in @Selection

Use column groups in custom query results:

@Selection
struct Row {
    let reminderTitle: String
    let listTitle: String
    let timestamps: Timestamps  // Nested group
}

let results = try Reminder
    .join(RemindersList.all) { $0.remindersListID.eq($1.id) }
    .select {
        Row.Columns(
            reminderTitle: $0.title,
            listTitle: $1.title,
            timestamps: $0.timestamps  // Pass entire group
        )
    }
    .fetchAll(db)

Single-Table Inheritance with Enums

Model polymorphic data using @CasePathable @Selection enums — a value-type alternative to class inheritance:

import CasePaths

@Table
nonisolated struct Attachment: Identifiable {
    let id: UUID
    let kind: Kind

    @CasePathable @Selection
    enum Kind {
        case link(URL)
        case note(String)
        case image(URL)
    }
}

Note: @CasePathable is required and comes from Point-Free's CasePaths library.

SQL Schema for Enum Tables

Flatten all cases into nullable columns:

CREATE TABLE "attachments" (
    "id" TEXT PRIMARY KEY NOT NULL DEFAULT (uuid()),
    "link" TEXT,
    "note" TEXT,
    "image" TEXT
) STRICT

Querying Enum Tables

// Fetch all — decoding determines which case
let attachments = try Attachment.all.fetchAll(db)

// Filter by case
let images = try Attachment
    .where { $0.kind.image.isNot(nil) }
    .fetchAll(db)

Inserting Enum Values

try Attachment.insert {
    Attachment.Draft(kind: .note("Hello world!"))
}
.execute(db)
// Inserts: (id, NULL, 'Hello world!', NULL)

Updating Enum Values

try Attachment.find(id).update {
    $0.kind = #bind(.link(URL(string: "https://example.com")!))
}
.execute(db)
// Sets link column, NULLs note and image columns

Complex Enum Cases with Grouped Columns

Enum cases can hold structured data using nested @Selection types:

@Table
nonisolated struct Attachment: Identifiable {
    let id: UUID
    let kind: Kind

    @CasePathable @Selection
    enum Kind {
        case link(URL)
        case note(String)
        case image(Attachment.Image)  // Fully qualify nested types
    }

    @Selection
    struct Image {
        var caption = ""
        var url: URL
    }
}

SQL schema flattens all nested fields:

CREATE TABLE "attachments" (
    "id" TEXT PRIMARY KEY NOT NULL DEFAULT (uuid()),
    "link" TEXT,
    "n
how to use axiom-sqlitedata-ref

How to use axiom-sqlitedata-ref 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-sqlitedata-ref
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-sqlitedata-ref

The skills CLI fetches axiom-sqlitedata-ref 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-sqlitedata-ref

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

4.632 reviews
  • Chaitanya Patil· Dec 28, 2024

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

  • Aisha Agarwal· Dec 16, 2024

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

  • Fatima Robinson· Dec 12, 2024

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

  • Piyush G· Nov 19, 2024

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

  • Michael Iyer· Nov 19, 2024

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

  • Fatima Martinez· Nov 7, 2024

    Useful defaults in axiom-sqlitedata-ref — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Noah Johnson· Nov 3, 2024

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

  • Zaid Gupta· Oct 26, 2024

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

  • Olivia Kim· Oct 22, 2024

    axiom-sqlitedata-ref fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Shikha Mishra· Oct 10, 2024

    Useful defaults in axiom-sqlitedata-ref — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

showing 1-10 of 32

1 / 4