Agent skill

Coil Compose

by Moustachauve in Moustachauve/WLED-Android

Expert guidance on using Coil for image loading in Jetpack Compose.

Apache-2.0Auto-check passedMobile

Install Coil Compose

skills CLI

$ npx skills add Moustachauve/WLED-Android --skill coil-compose -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install Moustachauve/WLED-Android coil-compose --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/Moustachauve/WLED-Android.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.github/skills/coil-compose .claude/skills/coil-compose && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "coil-compose" agent skill from https://github.com/Moustachauve/WLED-Android/tree/main/.github/skills/coil-compose into .claude/skills/coil-compose/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "coil-compose", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/Moustachauve/WLED-Android/tree/main/.github/skills/coil-compose

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add Moustachauve/WLED-Android --skill coil-compose -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install Moustachauve/WLED-Android coil-compose --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/Moustachauve/WLED-Android.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.github/skills/coil-compose .agents/skills/coil-compose && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "coil-compose" agent skill from https://github.com/Moustachauve/WLED-Android/tree/main/.github/skills/coil-compose into .agents/skills/coil-compose/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "coil-compose", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add Moustachauve/WLED-Android --skill coil-compose -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install Moustachauve/WLED-Android coil-compose --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/Moustachauve/WLED-Android.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.github/skills/coil-compose .cursor/skills/coil-compose && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "coil-compose" agent skill from https://github.com/Moustachauve/WLED-Android/tree/main/.github/skills/coil-compose into .cursor/skills/coil-compose/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "coil-compose", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/Moustachauve/WLED-Android.git --path .github/skills/coil-compose

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add Moustachauve/WLED-Android --skill coil-compose -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install Moustachauve/WLED-Android coil-compose --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/Moustachauve/WLED-Android.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.github/skills/coil-compose .gemini/skills/coil-compose && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "coil-compose" agent skill from https://github.com/Moustachauve/WLED-Android/tree/main/.github/skills/coil-compose into .gemini/skills/coil-compose/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "coil-compose", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install Moustachauve/WLED-Android coil-compose

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add Moustachauve/WLED-Android --skill coil-compose -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/Moustachauve/WLED-Android.git skills-src && mkdir -p .github/skills && cp -r skills-src/.github/skills/coil-compose .github/skills/coil-compose && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "coil-compose" agent skill from https://github.com/Moustachauve/WLED-Android/tree/main/.github/skills/coil-compose into .github/skills/coil-compose/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "coil-compose", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add Moustachauve/WLED-Android --skill coil-compose -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install Moustachauve/WLED-Android coil-compose --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/Moustachauve/WLED-Android.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.github/skills/coil-compose .opencode/skills/coil-compose && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "coil-compose" agent skill from https://github.com/Moustachauve/WLED-Android/tree/main/.github/skills/coil-compose into .opencode/skills/coil-compose/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "coil-compose", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: coil-compose
GitHub stars: 169
Used in: 2 other repos
Token cost: ~789 tokens
SKILL.md length: 248 words
Files: 1
Skills in repo: 17
Repo updated: Oct 9, 2026
First seen: Oct 7, 2026
Licence: Apache-2.0

At a glance

Expert guidance on using Coil for image loading in Jetpack Compose.

Works in 5 steps: Primary Composable: AsyncImage → Low-Level Control:… → Slot API: SubcomposeAsyncImage → …
Tasks that involve Android development
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Coil Compose is an agent skill from Moustachauve/WLED-Android. 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.

Its SKILL.md is about 790 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Mobile, covering Android development. It works with Jetpack Compose. The repository describes itself as: Native Android application for WLED. The licence is Apache-2.0.

When your agent uses it

Tasks that involve Android development

Example prompts

“/coil-compose”

Workflow steps

5 steps, taken from the step headings in SKILL.md.

Primary Composable: AsyncImage
Low-Level Control: rememberAsyncImagePainter
Slot API: SubcomposeAsyncImage
Performance & Best Practices
Checklist for implementation

What it can do on your machine

Read from SKILL.md and the folder at commit 7e164a8. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are kotlin).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Coil Compose loads about 789 tokens when it runs. Until then it costs about 50 tokens; SKILL.md has 248 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~50
When it runs · the whole SKILL.md, loaded when a task matches: ~789

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from Moustachauve/WLED-Android at commit 7e164a8, republished under its Apache-2.0 licence (© Moustachauve). 248 words, ~789 tokens.

Download SKILL.mdSave it as .claude/skills/coil-compose/SKILL.md (or your agent's skills folder).

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.

kotlin

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.

kotlin

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.

kotlin

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).

Files

Just SKILL.md in .github/skills/coil-compose of Moustachauve/WLED-Android.

Open the folder on GitHubat commit 7e164a8

Used in 2 other repositories

We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in Moustachauve/WLED-Android, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Coil Compose next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Coil Compose compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Coil Compose this skillMoustachauve/WLED-Android	169	2 repos	~789	Automated safety check: Pass	Apache-2.0	today
Compose Multiplatform Patternsmonta-app/ocpp-emulator	180	5 repos	~2k	Automated safety check: Pass	Apache-2.0	yesterday
Stylesarindamxd/camerax-android	132	4 repos	~2.3k	Automated safety check: Pass	Apache-2.0	7 days ago
Compose Animationschrisbanes/skills	1.1k	—	~1.1k	Automated safety check: Pass	Apache-2.0	yesterday
Edge To Edgearindamxd/camerax-android	132	5 repos	~3.6k	Automated safety check: Pass	Apache-2.0	7 days ago
Compose UI Testing Patternschrisbanes/skills	1.1k	—	~1.8k	Automated safety check: Pass	Apache-2.0	yesterday

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Questions about Coil Compose

What does Coil Compose do?

Expert guidance on using Coil for image loading in Jetpack Compose. Coil Compose is an agent skill from Moustachauve/WLED-Android. Expert guidance on using Coil for image loading in Jetpack Compose.

When should I use Coil Compose?

Coil Compose fits situations like: tasks that involve Android development.

How do I install Coil Compose in Claude Code?

Run `npx skills add Moustachauve/WLED-Android --skill coil-compose -a claude-code`. Or copy the skill folder (.github/skills/coil-compose in Moustachauve/WLED-Android) into .claude/skills/coil-compose in your project. Claude Code loads it when a task matches its description.

How do I install Coil Compose in Codex?

Run `npx skills add Moustachauve/WLED-Android --skill coil-compose -a codex`. Or copy the skill folder (.github/skills/coil-compose in Moustachauve/WLED-Android) into .agents/skills/coil-compose in your project. Codex loads it when a task matches its description.

Can I use Coil Compose in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Moustachauve/WLED-Android --skill coil-compose -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/coil-compose, .gemini/skills/coil-compose, .github/skills/coil-compose and .opencode/skills/coil-compose in your project.

What does Coil Compose need to run?

SKILL.md names no scripts, command-line tools or credentials: Coil Compose is instructions for the agent only.

Does Coil Compose access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Coil Compose safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Coil Compose use?

Coil Compose is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Coil Compose use?

About 789 tokens (SKILL.md is roughly 3.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Coil Compose?

Skills that share tags, products or a category with Coil Compose: Compose Multiplatform Patterns (monta-app/ocpp-emulator, 180 stars), Styles (arindamxd/camerax-android, 132 stars), Compose Animations (chrisbanes/skills, 1.1k stars) and Edge To Edge (arindamxd/camerax-android, 132 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Coil Compose?

Moustachauve (a GitHub user) maintains it in Moustachauve/WLED-Android, which has 169 GitHub stars. The repository holds 17 skills in this directory. The repository was last updated on October 9, 2026.

Source: Moustachauve/WLED-Android on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Coil Compose

Facts

At a glance

What it does

When your agent uses it

Example prompts

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Coil for Jetpack Compose

Instructions

1. Primary Composable: AsyncImage

2. Low-Level Control: rememberAsyncImagePainter

3. Slot API: SubcomposeAsyncImage

4. Performance & Best Practices

5. Checklist for implementation

Files

Used in 2 other repositories

Compare with similar skills

Similar skills

More from Moustachauve/WLED-Android

Related

Questions about Coil Compose

1. Primary Composable: `AsyncImage`

2. Low-Level Control: `rememberAsyncImagePainter`

3. Slot API: `SubcomposeAsyncImage`