Coil for Jetpack Compose

SkillMedia

Gives your agent expert guidance on loading and optimizing images in Jetpack Compose using Coil.

Available today. Use it from your connected AI after setup.

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] rememberAsyncImagePainter does not detect the size your image is loaded at on screen and always loads the image with its original dimensions by default. Use AsyncImage unless a Painter is 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 SubcomposeAsyncImage in performance-critical areas like LazyColumn or LazyRow.

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 ImageLoader instance 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) in ImageRequest for a smoother transition from placeholder to success.
  • Sizing: Ensure contentScale is set appropriately to avoid loading larger images than necessary.

5. Checklist for implementation

  • Prefer AsyncImage over other variants.
  • Always provide a meaningful contentDescription or set it to null for decorative images.
  • Use crossfade(true) for better UX.
  • Avoid SubcomposeAsyncImage in lists.
  • Configure ImageRequest for 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