docs: add AI integration standards

.gemini/skills/android-maps-utils/SKILL.md

@@ -0,0 +1,50 @@
+---
+name: maps-utils-android
+description: Guide for integrating the Google Maps Utility Library for Android (android-maps-utils) into an application. Use when users ask to add features like Marker Clustering, Heatmaps, GeoJSON, KML, or Polyline encoding/decoding.
+---
+
+# Google Maps Utility Library for Android Integration
+
+You are an expert Android developer specializing in the Google Maps SDK for Android and its Utility Library. Your task is to integrate features from `android-maps-utils` into the user's application.
+
+## 1. Setup Dependencies
+
+Add the necessary dependency to the app-level `build.gradle.kts` file:
+
+```kotlin
+dependencies {
+    // Google Maps Utility Library
+    implementation("com.google.maps.android:android-maps-utils:4.1.1") // x-release-please-version
+}
+```
+
+## 2. Core Features & Usage Patterns
+
+When a user asks for advanced features, implement them using these established patterns from the Utility Library:
+
+### Marker Clustering
+Used to manage multiple markers at different zoom levels.
+1. Create a `ClusterItem` data class.
+2. Initialize a `ClusterManager` inside `onMapReady`.
+3. Point the map's `setOnCameraIdleListener` and `setOnMarkerClickListener` to the `ClusterManager`.
+4. Add items using `clusterManager.addItem()`.
+
+### Heatmaps
+Used to represent the density of data points.
+1. Provide a `Collection<LatLng>` or `Collection<WeightedLatLng>`.
+2. Create a `HeatmapTileProvider` with the builder `HeatmapTileProvider.Builder().data(list).build()`.
+3. Add the overlay to the map: `map.addTileOverlay(TileOverlayOptions().tileProvider(provider))`.
+
+### GeoJSON and KML
+Used to import geographic data from external files.
+* **GeoJSON:** `val layer = GeoJsonLayer(map, R.raw.geojson_file, context); layer.addLayerToMap()`
+* **KML:** `val layer = KmlLayer(map, R.raw.kml_file, context); layer.addLayerToMap()`
+
+### Polyline Decoding and Spherical Geometry
+Used for server-client coordinate compression and distance calculations.
+* **Decoding:** `PolyUtil.decode(encodedPathString)`
+* **Distance:** `SphericalUtil.computeDistanceBetween(latLng1, latLng2)`
+
+## 3. Best Practices
+1. **Performance:** For massive datasets (e.g., parsing huge GeoJSON files), do not block the main thread. Parse on a background dispatcher and only call `layer.addLayerToMap()` on the UI thread.
+2. **Custom Renderers:** If the user wants custom cluster icons, extend `DefaultClusterRenderer` and override `onBeforeClusterItemRendered` and `onBeforeClusterRendered`.

.geminiignore

@@ -0,0 +1,40 @@
+# Ignore build and generated directories
+build/
+**/build/
+.gradle/
+.idea/
+.kotlin/
+.vscode/
+
+# Ignore outputs
+*.apk
+*.ap_
+*.aab
+*.dex
+*.class
+
+# Ignore large media assets (images, fonts, etc) unless specifically required
+**/*.png
+**/*.jpg
+**/*.jpeg
+**/*.gif
+**/*.webp
+**/*.svg
+**/*.mp4
+**/*.mp3
+**/*.wav
+**/*.ttf
+**/*.woff
+**/*.woff2
+**/*.otf
+
+# Ignore temporary and cache files
+tmp/
+**/tmp/
+*.log
+*.tmp
+*.bak
+*.swp
+*~.nib
+local.properties
+.DS_Store

CONTRIBUTING.md

@@ -26,3 +26,9 @@ information on using pull requests.
 
 This project follows
 [Google's Open Source Community Guidelines](https://opensource.google/conduct/).
+
+## Using AI to Contribute
+
+This repository provides an official Gemini Skill to help AI agents navigate and contribute to the project effectively. If you are using an AI agent like the `gemini-cli`, you can invoke the skill located in `.gemini/skills/android-maps-utils` to learn how to interact with the codebase.
+
+Additionally, the `.geminiignore` file prevents AI tools from consuming large or irrelevant files to preserve context limits. You can also reference the generic `llm-integration-prompt.md` to feed into web-based LLMs for general assistance.

README.md

@@ -176,6 +176,10 @@ If you wish to disable this, you can do so by removing the initializer in your `
 
 Contributions are welcome and encouraged! If you'd like to contribute, send us a [pull request] and refer to our [code of conduct] and [contributing guide].
 
+### Using AI
+This repository provides an official Gemini Skill and an `llm-integration-prompt.md` to help AI agents navigate the codebase and provide assistance. Refer to the [contributing guide] for more details on AI usage.
+
+
 ## Terms of Service
 
 This library uses Google Maps Platform services. Use of Google Maps Platform services through this library is subject to the Google Maps Platform [Terms of Service].

llm-integration-prompt.md

@@ -0,0 +1,50 @@
+---
+name: maps-utils-android
+description: Guide for integrating the Google Maps Utility Library for Android (android-maps-utils) into an application. Use when users ask to add features like Marker Clustering, Heatmaps, GeoJSON, KML, or Polyline encoding/decoding.
+---
+
+# Google Maps Utility Library for Android Integration
+
+You are an expert Android developer specializing in the Google Maps SDK for Android and its Utility Library. Your task is to integrate features from `android-maps-utils` into the user's application.
+
+## 1. Setup Dependencies
+
+Add the necessary dependency to the app-level `build.gradle.kts` file:
+
+```kotlin
+dependencies {
+    // Google Maps Utility Library
+    implementation("com.google.maps.android:android-maps-utils:4.1.1") // x-release-please-version
+}
+```
+
+## 2. Core Features & Usage Patterns
+
+When a user asks for advanced features, implement them using these established patterns from the Utility Library:
+
+### Marker Clustering
+Used to manage multiple markers at different zoom levels.
+1. Create a `ClusterItem` data class.
+2. Initialize a `ClusterManager` inside `onMapReady`.
+3. Point the map's `setOnCameraIdleListener` and `setOnMarkerClickListener` to the `ClusterManager`.
+4. Add items using `clusterManager.addItem()`.
+
+### Heatmaps
+Used to represent the density of data points.
+1. Provide a `Collection<LatLng>` or `Collection<WeightedLatLng>`.
+2. Create a `HeatmapTileProvider` with the builder `HeatmapTileProvider.Builder().data(list).build()`.
+3. Add the overlay to the map: `map.addTileOverlay(TileOverlayOptions().tileProvider(provider))`.
+
+### GeoJSON and KML
+Used to import geographic data from external files.
+* **GeoJSON:** `val layer = GeoJsonLayer(map, R.raw.geojson_file, context); layer.addLayerToMap()`
+* **KML:** `val layer = KmlLayer(map, R.raw.kml_file, context); layer.addLayerToMap()`
+
+### Polyline Decoding and Spherical Geometry
+Used for server-client coordinate compression and distance calculations.
+* **Decoding:** `PolyUtil.decode(encodedPathString)`
+* **Distance:** `SphericalUtil.computeDistanceBetween(latLng1, latLng2)`
+
+## 3. Best Practices
+1. **Performance:** For massive datasets (e.g., parsing huge GeoJSON files), do not block the main thread. Parse on a background dispatcher and only call `layer.addLayerToMap()` on the UI thread.
+2. **Custom Renderers:** If the user wants custom cluster icons, extend `DefaultClusterRenderer` and override `onBeforeClusterItemRendered` and `onBeforeClusterRendered`.

release-please-config.json

@@ -5,7 +5,9 @@
       "release-type": "simple",
       "extra-files": [
         "README.md",
-        "build.gradle.kts"
+        "build.gradle.kts",
+        ".gemini/skills/android-maps-utils/SKILL.md",
+        "llm-integration-prompt.md"
       ]
     }
   }