Agent Skillsmaxrave-dev/SimpMusic › coil-compose

coil-compose

GitHub

提供 Jetpack Compose 中使用 Coil 库进行图片加载的专业指导,涵盖 AsyncImage、异步 Painter 及性能优化最佳实践。

.claude/skills/coil-compose/SKILL.md maxrave-dev/SimpMusic

Trigger Scenarios

询问如何在 Compose 中加载图片 需要优化图片加载性能 处理图片加载状态

Install

npx skills add maxrave-dev/SimpMusic --skill coil-compose -g -y
More Options

Non-standard path

npx skills add https://github.com/maxrave-dev/SimpMusic/tree/dev/.claude/skills/coil-compose -g -y

Use without installing

npx skills use maxrave-dev/SimpMusic@coil-compose

指定 Agent (Claude Code)

npx skills add maxrave-dev/SimpMusic --skill coil-compose -a claude-code -g -y

安装 repo 全部 skill

npx skills add maxrave-dev/SimpMusic --all -g -y

预览 repo 内 skill

npx skills add maxrave-dev/SimpMusic --list

SKILL.md

Frontmatter
{
    "name": "coil-compose",
    "description": "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."
}

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).

Version History

  • 11f5926 Current 2026-07-30 20:16

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Metadata

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Version
973fbc8
Hash
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Indexed
2026-07-30 20:16

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