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Version: 1.3 (Current)

AI Assistants

IAPKit - In-App Purchase Made Simple

kmp-iap provides AI-optimized documentation designed to work seamlessly with modern coding assistants like Cursor, GitHub Copilot, Claude, and ChatGPT.

AI-Optimized Documentation​

FileDescriptionLinesBest For
llms.txtQuick reference~300Fast lookups, basic implementation
llms-full.txtComplete API reference~1000Complex implementations, troubleshooting

Adding to Cursor​

  1. Open Cursor Settings (Cmd/Ctrl + ,)
  2. Navigate to Features → Docs
  3. Click Add new doc
  4. Enter the URL: https://hyochan.github.io/kmp-iap/llms.txt
  5. Name it "kmp-iap"
  6. Click Confirm

Now you can reference kmp-iap documentation in Cursor by typing @kmp-iap in your prompts.

Using with GitHub Copilot​

Reference the documentation directly in Copilot Chat:

@workspace Using the documentation at https://hyochan.github.io/kmp-iap/llms.txt,
help me implement in-app purchases with kmp-iap

Or for more detailed help:

@workspace Based on https://hyochan.github.io/kmp-iap/llms-full.txt,
show me how to handle subscription upgrades

Using with Claude / ChatGPT​

Option 1: Include URL in Prompt​

Using the kmp-iap documentation at https://hyochan.github.io/kmp-iap/llms-full.txt,
help me implement a purchase flow with server-side validation using IAPKit.

Option 2: Paste Documentation Content​

  1. Open llms.txt or llms-full.txt
  2. Copy the content
  3. Paste into your conversation with context about your task

Direct URL Access​

Access the documentation files directly:

What's Included​

Quick Reference (llms.txt)​

  • Project overview and installation
  • Quick start guide with both usage patterns
  • Core API reference (connection, products, purchases)
  • Key type definitions
  • Event listeners setup
  • Common patterns and examples
  • Error handling basics
  • Platform requirements

Full Reference (llms-full.txt)​

Everything in the quick reference, plus:

  • Complete installation options (Gradle, Version Catalog)
  • Detailed connection management
  • All product loading methods
  • Complete purchase operations with all options
  • Transaction management (iOS & Android specific)
  • Subscription management with all properties
  • Purchase verification (native & IAPKit)
  • All event listeners with examples
  • Complete iOS-specific APIs
  • Complete Android-specific APIs
  • Alternative billing setup (Android)
  • Billing programs API (Google Play 8.2.0+)
  • Complete type definitions (all fields)
  • Full error codes reference with descriptions
  • Complete implementation patterns
  • Troubleshooting guide
  • Platform setup requirements

Example Prompts​

Here are some example prompts to get the most out of kmp-iap with AI assistants:

Basic Implementation​

Using kmp-iap documentation, create a basic IAPManager class that:
1. Initializes the store connection
2. Loads products
3. Handles purchases
4. Finishes transactions after validation

Subscription Handling​

Using kmp-iap's llms-full.txt documentation, show me how to:
1. Check if a user has an active subscription
2. Handle subscription upgrades on Android
3. Check expiration dates on iOS

Error Handling​

Based on kmp-iap error codes, implement comprehensive error handling
for purchases including retry logic for network errors.

Purchase Verification​

Using kmp-iap with IAPKit verification, implement a secure purchase
flow that validates purchases before granting entitlements.

Alternative Billing (Android)​

Implement Android alternative billing flow using kmp-iap, including:
1. Checking availability
2. Showing required dialog
3. Creating reporting token
4. Error handling

Platform-Specific Features​

Show me all iOS-specific APIs available in kmp-iap, including
refund requests, promotional offers, and external purchase links.

Tips for Better Results​

  1. Be specific about the platform - Mention if you need iOS-specific, Android-specific, or cross-platform code

  2. Reference the correct doc - Use llms.txt for quick answers, llms-full.txt for detailed implementations

  3. Include context - Mention your Kotlin version, target platforms, and any specific requirements

  4. Ask about OpenIAP - kmp-iap follows the OpenIAP specification, so asking about OpenIAP patterns works well

  5. Request complete examples - Ask for full code examples including error handling and edge cases

Feedback​

If you have suggestions for improving the AI documentation:

See Also​