Integrating Pbl logo

Integrating Pbl

Organization
RevenueCat
integrating-pbl

Use this skill when integrating the Google Play Billing Library client side (adding the dependency, wiring BillingClient, managing its connection lifecycle, and querying product details). Grounded in PBL 9.x.

Overview

PublisherRevenueCat
Repositoryplay-billing-skills
Skill nameintegrating-pbl
Stars
58
Forks
0
Bundled files
Instructions only
LicenseApache-2.0
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the Integrating Pbl 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.
    https://github.com/RevenueCat/play-billing-skills/tree/main/google-play/integrating-pbl
  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/RevenueCat/play-billing-skills.git /tmp/play-billing-skills
mkdir -p .claude/skills
cp -r /tmp/play-billing-skills/google-play/integrating-pbl .claude/skills/integrating-pbl
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Integrating Pbl 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 Integrating Pbl 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 Integrating Pbl 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.

Integrating the Play Billing Library

You are wiring the Play Billing Library into an Android app. This skill covers the client side setup: adding the dependency, building BillingClient, managing the connection, and querying products. Follow the phases in order.

Phase 0: Intent

Confirm what the caller actually wants before you touch code. Pick one:

IntentSignal
First time integrationNo com.android.billingclient dependency yet
Upgrading PBLExisting BillingClient on an older version
Fixing connection bugsSERVICE_DISCONNECTED, missing onBillingSetupFinished callbacks
Adding product queriesBillingClient exists, no queryProductDetailsAsync call

If the request is ambiguous, ask. Do not write Gradle edits or Kotlin until you know the target state.

Phase 1: Discovery

Inspect the project before changing anything.

Check the Gradle setup:

bash
grep -r "com.android.billingclient" --include="*.gradle*"

Check existing BillingClient usage:

bash
grep -rn "BillingClient" --include="*.kt" --include="*.java" src/

Record these facts:

FactWhy it matters
Current PBL versionDrives migration steps (PBL 8 and 9 require PendingPurchasesParams)
Context passed to builderAny context works; BillingClient uses its application context
Whether enablePendingPurchases is calledMissing call throws IllegalArgumentException on build()
Whether auto reconnection is enabledAbsent means you own retry logic
Where BillingClient is instantiatedViewModel, singleton, or Application scoped
Whether KTX is on the classpathDecides callback vs coroutine style
compileSdkPBL 9 needs 35+ (androidx.core 1.15.0)
minSdkPBL 8.1+ needs 23+
Kotlin versionbilling-ktx 9.x needs Kotlin 2.2+; on older Kotlin use plain billing

If you find multiple BillingClient instances in one process, flag it. One instance per process is the rule.

Phase 2: Plan

Before writing code, pick a connection strategy and confirm with the caller.

StrategyUse whenTrade off
Application scoped singletonBilling gates many features, frequent status checksConnection stays open while idle
ViewModel / feature scopedBilling only appears on one or two screensPays setup cost every entry

Then decide:

  1. Callback style or KTX coroutine style. If coroutines are already the norm in the project, pick KTX.
  2. Auto reconnection on or off. Default to on unless you need manual control.
  3. Which product IDs and types (INAPP, SUBS) the initial query covers. Batch up to 20 per call.

Write the plan down. One BillingClient owner, one listener, one connection strategy.

Phase 3: Execute

Step 1 Add the dependency

In the module build.gradle.kts:

kotlin
dependencies {
    implementation("com.android.billingclient:billing-ktx:9.1.0")
}

The billing-ktx artifact pulls in the base library plus coroutine extensions. Drop -ktx if you do not want KTX. PBL 9.x requires compileSdk 35+ and minSdk 23+; billing-ktx 9.x also requires Kotlin 2.2+.

Step 2 Build the BillingClient

Pass any context (the library uses its application context):

kotlin
val billingClient = BillingClient.newBuilder(appContext)
    .setListener(purchasesUpdatedListener)
    .enablePendingPurchases(
        PendingPurchasesParams.newBuilder().enableOneTimeProducts().build()
    )
    .enableAutoServiceReconnection()
    .build()

setListener and enablePendingPurchases(...enableOneTimeProducts()...) are required; build() throws IllegalArgumentException if either is missing. enableAutoServiceReconnection() is optional but strongly recommended.

Step 3 Wire the PurchasesUpdatedListener

One listener per client. Dispatch from it if other components need to react:

kotlin
val purchasesUpdatedListener =
    PurchasesUpdatedListener { result, purchases ->
        when (result.responseCode) {
            BillingResponseCode.OK ->
                purchases?.forEach(::handlePurchase)
            BillingResponseCode.USER_CANCELED -> Unit
            else -> logError(result)
        }
    }

The callback fires on the main thread and can fire while the app is in the background. Update a repository or state holder, not UI directly. Never force unwrap purchases; it is null on non OK responses.

Step 4 Start the connection

Callback form:

kotlin
billingClient.startConnection(object : BillingClientStateListener {
    override fun onBillingSetupFinished(result: BillingResult) {
        if (result.responseCode == BillingResponseCode.OK) {
            onBillingReady()
        }
    }
    override fun onBillingServiceDisconnected() { /* auto retry */ }
})

KTX has no startConnection extension. Use the callback form, or wrap it:

kotlin
suspend fun BillingClient.connect(): BillingResult =
    suspendCancellableCoroutine { cont ->
        startConnection(object : BillingClientStateListener {
            override fun onBillingSetupFinished(result: BillingResult) {
                if (cont.isActive) cont.resume(result)
            }
            override fun onBillingServiceDisconnected() {
                // Resume so the caller never hangs if setup is interrupted
                if (cont.isActive) cont.resume(
                    BillingResult.newBuilder()
                        .setResponseCode(BillingResponseCode.SERVICE_DISCONNECTED)
                        .build()
                )
            }
        })
    }

Do not call billing methods before onBillingSetupFinished fires with OK. Queue pending work and flush on each successful connect.

Step 5 Query product details

Build one query per product type (INAPP and SUBS cannot be mixed in one call; the builder throws IllegalArgumentException), keeping each batch at or under 20 products:

kotlin
val products = listOf(
    QueryProductDetailsParams.Product.newBuilder()
        .setProductId("premium_monthly")
        .setProductType(ProductType.SUBS)
        .build()
)
val params = QueryProductDetailsParams.newBuilder()
    .setProductList(products)
    .build()

Callback form:

kotlin
billingClient.queryProductDetailsAsync(params) { result, queryResult ->
    if (result.responseCode == BillingResponseCode.OK) {
        displayProducts(queryResult.productDetailsList)
        handleUnfetched(queryResult.unfetchedProductList)
    }
}

KTX form:

kotlin
val result = billingClient.queryProductDetails(params)
val details = result.productDetailsList.orEmpty()

The KTX result has no unfetched list and productDetailsList is nullable (use .orEmpty()). Use the callback form if you need Step 6.

Do not cache ProductDetails across sessions. Prices can change; re query each time you display products.

Step 6 Handle UnfetchedProduct results

The callback API's QueryProductDetailsResult may include UnfetchedProduct entries (the KTX ProductDetailsResult does not expose them). Branch on unfetchedProduct.statusCode:

unfetchedProduct.statusCodeAction
INVALID_PRODUCT_ID_FORMATDo not retry; fix the product ID
PRODUCT_NOT_FOUNDCheck the ID and product type in Play Console; a just created product may still be propagating, so retry later, not in a loop
NO_ELIGIBLE_OFFERProduct exists but has no available base plan (subs) or purchase option (one time) for this user; hide it
UNKNOWNLog and hide

Retry the whole query with backoff only when the top level BillingResult is retriable (SERVICE_UNAVAILABLE, ERROR, NETWORK_ERROR, SERVICE_DISCONNECTED). Show the products you did fetch and log the rest.

Step 7 Handle disconnection

With enableAutoServiceReconnection(), PBL re-establishes the connection when you make an API call while disconnected. If a call still returns SERVICE_DISCONNECTED, the library could not reconnect; retry that operation (simple retry in session, backoff in the background). If you disabled auto reconnection, implement backoff yourself starting at one second and capping near fifteen seconds.

Check billingClient.isReady before issuing a call if you need a fast path. Always call endConnection() when the owning scope is destroyed.

Phase 4: Verify

Before you mark the integration done, confirm each of these:

CheckHow
Dependency present./gradlew :app:dependencies lists billing-ktx at the target version
Single client per processgrep -rn "BillingClient.newBuilder" src/ returns one call site
enablePendingPurchases calledBuild passes without IllegalArgumentException at first build()
Listener fires on purchaseRun a test purchase on the internal track; confirm OK branch hit
Connection ready before callsLog onBillingSetupFinished and confirm it precedes queries
Product query returns detailsLog productDetailsList.size for a known batch
Unfetched handling worksQuery a deliberately wrong product ID with the callback API and confirm it appears in unfetchedProductList with PRODUCT_NOT_FOUND (or INVALID_PRODUCT_ID_FORMAT) and is not retried
Disconnect recoveryForce stop the Play Store app while connected (adb shell am force-stop com.android.vending), confirm onBillingServiceDisconnected() fires, then make a billing call and confirm it succeeds without a manual startConnection(). Test NETWORK_ERROR separately in airplane mode
endConnection() on teardownLog it in the owning scope's destroy path

If any row fails, return to Phase 2 and revise the plan. Do not paper over a failing check.

References

  • Full chapter

  • Google Play Billing Library release notes and migration guides for version specific details.

Frequently asked questions

What does the Integrating Pbl AI skill do?

Use this skill when integrating the Google Play Billing Library client side (adding the dependency, wiring BillingClient, managing its connection lifecycle, and querying product details). Grounded in PBL 9.x.

Why use Integrating Pbl on TypingMind?

Because you install it once and use it with any model. Integrating Pbl 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 Integrating Pbl in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/RevenueCat/play-billing-skills/tree/main/google-play/integrating-pbl. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Integrating Pbl?

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 Integrating Pbl?

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

Is the Integrating Pbl AI skill free?

Yes. It is published on GitHub by RevenueCat under the Apache-2.0 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇