coil-compose

coil-compose is a skill for Claude Code from rcosteira79/android-skills. It costs 53 tokens per session (667 once invoked), scanned A, original, MIT.

A guide for loading images with Coil 3 in Compose and Compose Multiplatform. Coil is a Kotlin image-loading library that fetches, displays, caches, and handles images for app interfaces.

In plain words
What is it for?
It supports remote and local image display, request configuration, loading and error states, accessibility descriptions, shared image-loader setup, and image loading on Android, iOS, desktop, and web.
Why use it?
It helps choose the right image component and avoid common multiplatform and list-performance mistakes, such as using Android-only context code in shared code or loading too much work while scrolling.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the android-skills plugin — 21 skills shipped together

Good fit It supports remote and local image display, request configuration, loading and error states, accessibility descriptions, shared image-loader setup, and image loading on Android, iOS, desktop, and web.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/rcosteira79/android-skills/coil-compose
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add rcosteira79/android-skills --skill coil-compose
Clone the repo
git clone --depth 1 https://github.com/rcosteira79/android-skills

Made for: Claude Code.

Or install android-skills, the plugin that ships this one along with the rest of its 21 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for coil-compose

README.md
[![agentmods](https://agentmods.dev/badge/skills/rcosteira79/android-skills/coil-compose/github.svg)](https://agentmods.dev/skills/rcosteira79/android-skills/coil-compose)
Your own site
<a href="https://agentmods.dev/skills/rcosteira79/android-skills/coil-compose"><img src="https://agentmods.dev/badge/skills/rcosteira79/android-skills/coil-compose/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for coil-compose

Your own site · 80×15
<a href="https://agentmods.dev/skills/rcosteira79/android-skills/coil-compose"><img src="https://agentmods.dev/badge/skills/rcosteira79/android-skills/coil-compose.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 53 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 667 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00053 $0.00667
Opus 5 $0.00026 $0.00333
Sonnet 5 $0.00011 $0.00133
Haiku 4.5 $0.00005 $0.00067

Measured 9d ago against content hash 0cde3efebb54, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

coil-compose scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugins/android-skills/skills/coil-compose/SKILL.md · 38 lines

How it starts

The opening of the file, as written. The whole thing — 38 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Coil 3 for Compose & Compose Multiplatform

This reference covers the KMP specifics and two performance guardrails, not the basics of AsyncImage / SubcomposeAsyncImage / ImageRequest / placeholder / error / contentDescription / a shared ImageLoader.

KMP: LocalPlatformContext, not LocalContext

Coil 3 is fully multiplatform — AsyncImage / SubcomposeAsyncImage / rememberAsyncImagePainter are identical in commonMain, with no expect/actual needed. The one swap: use LocalPlatformContext.current, not LocalContext.current (Android-only; a compile error in commonMain). It resolves to android.content.Context on Android and PlatformContext.INSTANCE on other targets.

// commonMain — works on all platforms
AsyncImage(
    model = ImageRequest.Builder(LocalPlatformContext.current).data(url).crossfade(true).build(),
    contentDescription = "User avatar",
    modifier = Modifier.size(48.dp).clip(CircleShape),
)

Singleton setup (KMP): call SingletonImageLoader.setSafe { ImageLoader.Builder(it).crossfade(true).build() } once early in the app lifecycle, or pass an imageLoader explicitly. coil-compose vs coil-compose-core: with coil-compose, AsyncImage without an imageLoader argument uses the singleton automatically; with coil-compose-core, the imageLoader parameter is required (no singleton convenience). Add a platform network engine as needed (e.g. coil-network-ktor3 for KMP).

Two performance guardrails

SubcomposeAsyncImage is significantly slower than regular composition — never use it inside LazyColumn / LazyRow. It creates a subcomposition per item; during scroll that overhead accumulates into visible jank. For custom loading/error states in a list, use AsyncImage with placeholder / error parameters instead — same visual result, no subcomposition.

rememberAsyncImagePainter does NOT infer the display size from layout constraints — without an explicit .size() it loads the image at its original dimensions (a 4000×3000 photo shown at 64dp still occupies the full bitmap in memory → OOM in a 50-item list). Reach for it only when a Painter is strictly required (Canvas, Icon, a custom draw); always pass .size(). Otherwise use AsyncImage, which sizes automatically.

Read the full file on GitHub · 38 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 9d ago First seen · 38 lines · 53 tokens per session scan A 0cde3efebb54

Subscribe to this mod's changes

coil-compose is a skill published in the GitHub repository rcosteira79/android-skills (136 stars, last pushed 14d ago), licensed MIT. It adds 53 tokens to every session and 667 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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