axiom-codable

charleswiltgen/axiom · updated Apr 8, 2026

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$npx skills add https://github.com/charleswiltgen/axiom --skill axiom-codable
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summary

Comprehensive guide to Codable protocol conformance for JSON and PropertyList encoding/decoding in Swift 6.x.

skill.md

Swift Codable Patterns

Comprehensive guide to Codable protocol conformance for JSON and PropertyList encoding/decoding in Swift 6.x.

Quick Reference

Decision Tree: When to Use Each Approach

Has your type...
├─ All properties Codable? → Automatic synthesis (just add `: Codable`)
├─ Property names differ from JSON keys? → CodingKeys customization
├─ Needs to exclude properties? → CodingKeys customization
├─ Enum with associated values? → Check enum synthesis patterns
├─ Needs structural transformation? → Manual implementation + bridge types
├─ Needs data not in JSON? → DecodableWithConfiguration (iOS 15+)
└─ Complex nested JSON? → Manual implementation + nested containers

Common Triggers

Error Solution
"Type 'X' does not conform to protocol 'Decodable'" Ensure all stored properties are Codable
"No value associated with key X" Check CodingKeys match JSON keys
"Expected to decode X but found Y instead" Type mismatch; check JSON structure or use bridge type
"keyNotFound" JSON missing expected key; make property optional or provide default
"Date parsing failed" Configure dateDecodingStrategy on decoder

Part 1: Automatic Synthesis

Swift automatically synthesizes Codable conformance when all stored properties are Codable.

Struct Synthesis

// ✅ Automatic synthesis
struct User: Codable {
    let id: UUID              // Codable
    var name: String          // Codable
    var membershipPoints: Int // Codable
}

// JSON: {"id":"...", "name":"Alice", "membershipPoints":100}

Requirements:

  • All stored properties must conform to Codable
  • Properties use standard Swift types or other Codable types
  • No custom initialization logic needed

Enum Synthesis Patterns

Pattern 1: Raw Value Enums

enum Direction: String, Codable {
    case north, south, east, west
}

// Encodes as: "north"

The raw value itself becomes the JSON representation.

Pattern 2: Enums Without Associated Values

enum Status: Codable {
    case success
    case failure
    case pending
}

// Encodes as: {"success":{}}

Each case becomes an object with the case name as the key and empty dictionary as value.

Pattern 3: Enums With Associated Values

enum APIResult: Codable {
    case success(data: String, count: Int)
    case error(code: Int, message: String)
}

// success case encodes as:
// {"success":{"data":"example","count":5}}

Gotcha: Unlabeled associated values generate _0, _1 keys:

enum Command: Codable {
    case store(String, Int)  // ❌ Unlabeled
}

// Encodes as: {"store":{"_0":"value","_1":42}}

Fix: Always label associated values for predictable JSON:

enum Command: Codable {
    case store(key: String, value: Int)  // ✅ Labeled
}

// Encodes as: {"store":{"key":"value","value":42}}

When Synthesis Breaks

Automatic synthesis fails when:

  1. Computed properties - Only stored properties are encoded
  2. Non-Codable properties - Custom types without Codable conformance
  3. Property wrappers - @Published, @State (except @AppStorage with Codable types)
  4. Class inheritance - Subclasses must implement init(from:) manually

Part 2: CodingKeys Customization

Use CodingKeys enum to customize encoding/decoding without full manual implementation.

Renaming Keys

struct Article: Codable {
    let url: URL
    let title: String
    let body: String

    enum CodingKeys: String, CodingKey {
        case url = "source_link"      // JSON uses "source_link"
        case title = "content_name"   // JSON uses "content_name"
        case body                     // Matches JSON key
    }
}

// JSON: {"source_link":"...", "content_name":"...", "body":"..."}

Excluding Properties

Omit properties from CodingKeys to exclude them from encoding/decoding:

struct NoteCollection: Codable {
    let name: String
    let notes: [Note]
    var localDrafts: [Note] = []  // ✅ Must have default value

    enum CodingKeys: CodingKey {
        case name
        case notes
        // localDrafts omitted - not encoded/decoded
    }
}

Rule: Excluded properties require default values or you must implement init(from:) manually.

Snake Case Conversion

For consistent snake_case → camelCase conversion:

let decoder = JSONDecoder()
decoder.keyDecodingStrategy = .convertFromSnakeCase

// JSON: {"first_name":"Alice", "last_name":"Smith"}
// Decodes to: User(firstName: "Alice", lastName: "Smith")

Enum Associated Value Keys

Customize keys for enum associated values using {CaseName}CodingKeys:

enum Command: Codable {
    case store(key: String, value: Int)
    case delete(key: String)

    enum StoreCodingKeys: String, CodingKey {
        case key = "identifier"  // Renames "key" to "identifier"
        case value = "data"      // Renames "value" to "data"
    }

    enum DeleteCodingKeys: String, CodingKey {
        case key = "identifier"
    }
}

// store case encodes as: {"store":{"identifier":"x","data":42}}

Pattern: {CaseName}CodingKeys with capitalized case name.


Part 3: Manual Implementation

For structural differences between JSON and Swift models, implement init(from:) and encode(to:).

Container Types

Container When to Use
Keyed Dictionary-like data with string keys
Unkeyed Array-like sequential data
Single-value Wrapper types that encode as a single value
Nested Hierarchical JSON structures

Nested Containers Example

Flatten hierarchical JSON:

// JSON:
// {
//   "latitude": 37.7749,
//   "longitude": -122.4194,
//   "additionalInfo": {
//     "elevation": 52
//   }
// }

struct Coordinate {
    var latitude: Double
    var longitude: Double
    var elevation: Double  // Nested in JSON, flat in Swift

    enum CodingKeys: String, CodingKey {
        case latitude, longitude, additionalInfo
    }

    enum AdditionalInfoKeys: String, CodingKey {
        case elevation
    }
}

extension Coordinate: Decodable {
    init(from decoder: Decoder) throws {
        let values = try decoder.container(keyedBy: CodingKeys.self)
        latitude = try values.decode(Double.self, forKey: .latitude)
        longitude = try values.decode(Double.self, forKey: .longitude)

        let additionalInfo = try values.
how to use axiom-codable

How to use axiom-codable 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-codable
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-codable

The skills CLI fetches axiom-codable 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-codable

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

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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

4.655 reviews
  • Pratham Ware· Dec 28, 2024

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

  • Zara Khan· Dec 24, 2024

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

  • Harper Martin· Dec 24, 2024

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

  • Luis Farah· Dec 20, 2024

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

  • Isabella Nasser· Dec 16, 2024

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

  • Nikhil Smith· Dec 4, 2024

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

  • Nikhil Diallo· Nov 23, 2024

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

  • Luis Abebe· Nov 11, 2024

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

  • Mei Taylor· Nov 7, 2024

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

  • Harper Harris· Nov 3, 2024

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

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