Coil for Jetpack Compose
SkillMediaGives your agent expert guidance on loading and optimizing images in Jetpack Compose using Coil.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Coil for Jetpack Compose skill
About this capability
Expert guidance on using Coil for image loading in Jetpack Compose. Use this when asked about loading images from URLs, handling image states, or optimizing image performance in Compose.
What this skill tells your AI
The instructions your AI receives, as published by maxrave-dev/simpmusic in .claude/skills/coil-compose/SKILL.md and read by ahel’s review.
Instructions
When implementing image loading in Jetpack Compose, use Coil (Coroutines Image Loader). It is the recommended library for Compose due to its efficiency and seamless integration.
1. Primary Composable: AsyncImage
Use AsyncImage for most use cases. It handles size resolution automatically and supports standard Image parameters.
AsyncImage(
model = ImageRequest.Builder(LocalContext.current)
.data("https://example.com/image.jpg")
.crossfade(true)
.build(),
placeholder = painterResource(R.drawable.placeholder),
error = painterResource(R.drawable.error),
contentDescription = stringResource(R.string.description),
contentScale = ContentScale.Crop,
modifier = Modifier.clip(CircleShape)
)
2. Low-Level Control: rememberAsyncImagePainter
Use rememberAsyncImagePainter only when you need a Painter instead of a composable (e.g., for Canvas or Icon) or when you need to observe the loading state manually.
[!WARNING]
rememberAsyncImagePainterdoes not detect the size your image is loaded at on screen and always loads the image with its original dimensions by default. UseAsyncImageunless aPainteris strictly required.
val painter = rememberAsyncImagePainter(
model = ImageRequest.Builder(LocalContext.current)
.data("https://example.com/image.jpg")
.size(Size.ORIGINAL) // Explicitly define size if needed
.build()
)
3. Slot API: SubcomposeAsyncImage
Use SubcomposeAsyncImage when you need a custom slot API for different states (Loading, Success, Error).
[!CAUTION] Subcomposition is slower than regular composition. Avoid using
SubcomposeAsyncImagein performance-critical areas likeLazyColumnorLazyRow.
SubcomposeAsyncImage(
model = "https://example.com/image.jpg",
contentDescription = null,
loading = {
CircularProgressIndicator()
},
error = {
Icon(Icons.Default.Error, contentDescription = null)
}
)
4. Performance & Best Practices
- Singleton ImageLoader: Use a single
ImageLoaderinstance for the entire app to share the disk/memory cache. - Main-Safe: Coil executes image requests on a background thread automatically.
- Crossfade: Always enable
crossfade(true)inImageRequestfor a smoother transition from placeholder to success. - Sizing: Ensure
contentScaleis set appropriately to avoid loading larger images than necessary.
5. Checklist for implementation
- Prefer
AsyncImageover other variants. - Always provide a meaningful
contentDescriptionor set it tonullfor decorative images. - Use
crossfade(true)for better UX. - Avoid
SubcomposeAsyncImagein lists. - Configure
ImageRequestfor specific needs like transformations (e.g.,CircleCropTransformation).
Signals
- GitHub stars
- 11k
- Forks
- 584
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
coil-compose- Source
- github.com/maxrave-dev/simpmusic