Auth Flow logo

Auth Flow

Community
rshankras
auth-flow

Generates authentication infrastructure with Sign in with Apple, biometrics, and Keychain storage. Use when user wants to add authentication, login, or Sign in with Apple.

Overview

Publisherrshankras
Repositoryclaude-code-apple-skills
Skill nameauth-flow
Stars
744
Forks
70
Bundled files
6
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 6 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by rshankras on GitHub. Read the source before you install it.

Installation

Install the Auth Flow AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/rshankras/claude-code-apple-skills.git /tmp/claude-code-apple-skills
mkdir -p .claude/skills
cp -r /tmp/claude-code-apple-skills/skills/generators/auth-flow .claude/skills/auth-flow
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Auth Flow in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Auth Flow on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Auth Flow is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Auth Flow Generator

Generate a complete authentication flow with Sign in with Apple, biometric authentication (Face ID/Touch ID), and secure Keychain storage.

When This Skill Activates

Use this skill when the user:

  • Asks to "add authentication" or "add login"
  • Mentions "Sign in with Apple" or "SIWA"
  • Wants "Face ID login" or "biometric auth"
  • Asks about "Keychain" or "secure storage"
  • Mentions "user session" or "auth token"

Pre-Generation Checks

1. Project Context Detection

  • Check for existing auth implementations
  • Check for AuthenticationServices framework usage
  • Verify entitlements file exists
  • Identify source file locations

2. Conflict Detection

Search for existing auth:

Glob: **/*Auth*.swift, **/*Keychain*.swift
Grep: "ASAuthorizationController" or "LAContext"

If found, ask user:

  • Replace existing implementation?
  • Extend with additional methods?

3. Required Capabilities

Sign in with Apple requires:

  • Add "Sign in with Apple" capability in Xcode
  • Configure in App Store Connect
  • Add entitlement: com.apple.developer.applesignin

Configuration Questions

Ask user via AskUserQuestion:

  1. Authentication methods? (multi-select)

    • Sign in with Apple
    • Biometrics (Face ID/Touch ID)
    • Both
  2. Session storage?

    • Keychain (secure, persists reinstall)
    • UserDefaults (simple, cleared on reinstall)
  3. Session management?

    • Auto-refresh tokens
    • Manual refresh
    • No token refresh needed

Generation Process

Step 1: Create Core Files

Generate these files:

  1. AuthenticationManager.swift - Core auth orchestration
  2. KeychainManager.swift - Secure storage
  3. SignInWithAppleManager.swift - SIWA handling
  4. BiometricAuthManager.swift - Face ID/Touch ID

Step 2: Create SwiftUI Components

Based on configuration:

  • SignInWithAppleButton.swift - SwiftUI button wrapper
  • AuthenticationView.swift - Complete auth UI

Step 3: Determine File Location

Check project structure:

  • If Sources/ exists → Sources/Auth/
  • If App/ exists → App/Auth/
  • Otherwise → Auth/

Entitlements Required

Sign in with Apple

xml
<!-- YourApp.entitlements -->
<key>com.apple.developer.applesignin</key>
<array>
    <string>Default</string>
</array>

Keychain Sharing (optional)

xml
<key>keychain-access-groups</key>
<array>
    <string>$(AppIdentifierPrefix)com.yourcompany.shared</string>
</array>

Info.plist Required

Face ID Usage Description

xml
<key>NSFaceIDUsageDescription</key>
<string>Use Face ID to securely sign in to your account</string>

Output Format

After generation, provide:

Files Created

Sources/Auth/
├── AuthenticationManager.swift      # Core orchestration
├── KeychainManager.swift            # Secure storage
├── SignInWithAppleManager.swift     # SIWA delegate
├── BiometricAuthManager.swift       # Face ID/Touch ID
├── AuthenticationState.swift        # Auth state model
└── Views/
    ├── SignInWithAppleButton.swift  # SwiftUI button
    └── AuthenticationView.swift     # Complete UI

Integration Steps

App Entry Point:

swift
@main
struct MyApp: App {
    @State private var authManager = AuthenticationManager()  // AuthenticationManager is @Observable

    var body: some Scene {
        WindowGroup {
            if authManager.isAuthenticated {
                ContentView()
            } else {
                AuthenticationView()
            }
        }
        .environment(authManager)
    }
}

Sign in with Apple Button:

swift
SignInWithAppleButtonView { result in
    switch result {
    case .success(let user):
        print("Signed in: \(user.id)")
    case .failure(let error):
        print("Failed: \(error)")
    }
}

Biometric Auth:

swift
Button("Unlock with Face ID") {
    Task {
        if await BiometricAuthManager.shared.authenticate() {
            // Authenticated
        }
    }
}

Required Setup

  1. Xcode Capabilities:

    • Add "Sign in with Apple" capability
    • Enable Keychain Sharing (if needed)
  2. App Store Connect:

    • Configure Sign in with Apple for your App ID
  3. Info.plist:

    • Add NSFaceIDUsageDescription

Testing Instructions

Sign in with Apple:

  • Use Simulator for basic testing
  • Test on device for full flow
  • Use sandbox Apple ID for testing

Biometrics:

  • Simulator: Features > Face ID > Enrolled
  • Test enrolled/not enrolled states
  • Test failed authentication

References

  • auth-patterns.md - Security best practices
  • templates/ - All template files
  • Apple Docs: Authentication Services, LocalAuthentication

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Auth Flow AI skill do?

Generates authentication infrastructure with Sign in with Apple, biometrics, and Keychain storage. Use when user wants to add authentication, login, or Sign in with Apple.

Why use Auth Flow on TypingMind?

Because you install it once and use it with any model. Auth Flow is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Auth Flow in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/rshankras/claude-code-apple-skills/tree/main/skills/generators/auth-flow. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Auth Flow?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Auth Flow?

As many as you like. As long as a model supports skills, you can use Auth Flow with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Auth Flow AI skill free?

Yes. It is published on GitHub by rshankras under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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