coil-compose

new-silvermoon/awesome-android-agent-skills · updated Apr 8, 2026

$npx skills add https://github.com/new-silvermoon/awesome-android-agent-skills --skill coil-compose
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summary

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.

skill.md

Coil for Jetpack Compose

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).

Discussion

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general reviews

Ratings

4.539 reviews
  • Henry Anderson· Dec 20, 2024

    Keeps context tight: coil-compose is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Charlotte Martin· Dec 20, 2024

    Registry listing for coil-compose matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Hiroshi Shah· Nov 11, 2024

    coil-compose has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Emma Sethi· Nov 11, 2024

    coil-compose fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Hiroshi Brown· Oct 2, 2024

    Solid pick for teams standardizing on skills: coil-compose is focused, and the summary matches what you get after install.

  • Emma Taylor· Oct 2, 2024

    We added coil-compose from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Sakura Jackson· Sep 21, 2024

    We added coil-compose from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Emma Iyer· Sep 21, 2024

    Solid pick for teams standardizing on skills: coil-compose is focused, and the summary matches what you get after install.

  • Yash Thakker· Sep 17, 2024

    coil-compose is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Min Haddad· Sep 5, 2024

    Keeps context tight: coil-compose is the kind of skill you can hand to a new teammate without a long onboarding doc.

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