Kmp Starter
DevAtrii/Kmp-Starter-Template
Build production Android & iOS apps on the KMP Starter Template (Clean Architecture, MVI, Koin, Compose Multiplatform).
Guidance on implementing the Data Layer using Repository pattern, Room (Local), and Retrofit (Remote) with offline-first synchronization.
$ npx skills add Moustachauve/WLED-Android --skill android-data-layer -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Moustachauve/WLED-Android android-data-layer --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/Moustachauve/WLED-Android.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.github/skills/android-data-layer .claude/skills/android-data-layer && rm -rf skills-srcUse ~/.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/
Install the "android-data-layer" agent skill from https://github.com/Moustachauve/WLED-Android/tree/main/.github/skills/android-data-layer into .claude/skills/android-data-layer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "android-data-layer", 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 install https://github.com/Moustachauve/WLED-Android/tree/main/.github/skills/android-data-layerType 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.
$ npx skills add Moustachauve/WLED-Android --skill android-data-layer -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Moustachauve/WLED-Android android-data-layer --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Moustachauve/WLED-Android.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.github/skills/android-data-layer .agents/skills/android-data-layer && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "android-data-layer" agent skill from https://github.com/Moustachauve/WLED-Android/tree/main/.github/skills/android-data-layer into .agents/skills/android-data-layer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "android-data-layer", 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.
$ npx skills add Moustachauve/WLED-Android --skill android-data-layer -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Moustachauve/WLED-Android android-data-layer --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Moustachauve/WLED-Android.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.github/skills/android-data-layer .cursor/skills/android-data-layer && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "android-data-layer" agent skill from https://github.com/Moustachauve/WLED-Android/tree/main/.github/skills/android-data-layer into .cursor/skills/android-data-layer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "android-data-layer", 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 https://github.com/Moustachauve/WLED-Android.git --path .github/skills/android-data-layer--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add Moustachauve/WLED-Android --skill android-data-layer -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Moustachauve/WLED-Android android-data-layer --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Moustachauve/WLED-Android.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.github/skills/android-data-layer .gemini/skills/android-data-layer && rm -rf skills-srcUse ~/.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/
Install the "android-data-layer" agent skill from https://github.com/Moustachauve/WLED-Android/tree/main/.github/skills/android-data-layer into .gemini/skills/android-data-layer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "android-data-layer", 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.
$ gh skill install Moustachauve/WLED-Android android-data-layerInstalls 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).
$ npx skills add Moustachauve/WLED-Android --skill android-data-layer -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Moustachauve/WLED-Android.git skills-src && mkdir -p .github/skills && cp -r skills-src/.github/skills/android-data-layer .github/skills/android-data-layer && rm -rf skills-srcUse ~/.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/
Install the "android-data-layer" agent skill from https://github.com/Moustachauve/WLED-Android/tree/main/.github/skills/android-data-layer into .github/skills/android-data-layer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "android-data-layer", 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.
$ npx skills add Moustachauve/WLED-Android --skill android-data-layer -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Moustachauve/WLED-Android android-data-layer --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Moustachauve/WLED-Android.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.github/skills/android-data-layer .opencode/skills/android-data-layer && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "android-data-layer" agent skill from https://github.com/Moustachauve/WLED-Android/tree/main/.github/skills/android-data-layer into .opencode/skills/android-data-layer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "android-data-layer", 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.
android-data-layerGuidance on implementing the Data Layer using Repository pattern, Room (Local), and Retrofit (Remote) with offline-first synchronization.
Android Data Layer is an agent skill from Moustachauve/WLED-Android. Guidance on implementing the Data Layer using Repository pattern, Room (Local), and Retrofit (Remote) with offline-first synchronization.
Its SKILL.md is about 470 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 Development, covering Design patterns. It works with Android. The repository describes itself as: Native Android application for WLED. The licence is Apache-2.0.
5 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 7e164a8. It shows what the files ask for, not the result of running them.
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.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Android Data Layer loads about 467 tokens when it runs. Until then it costs about 39 tokens; SKILL.md has 176 words of instructions outside code blocks.
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.
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.
The full file from Moustachauve/WLED-Android at commit 7e164a8, republished under its Apache-2.0 licence (© Moustachauve). 176 words, ~467 tokens.
.claude/skills/android-data-layer/SKILL.md (or your agent's skills folder).The Data Layer coordinates data from multiple sources.
class NewsRepository @Inject constructor(
private val newsDao: NewsDao,
private val newsApi: NewsApi
) {
// Expose data from Local DB as the source of truth
val newsStream: Flow<List<News>> = newsDao.getAllNews()
// Sync operation
suspend fun refreshNews() {
val remoteNews = newsApi.fetchLatest()
newsDao.insertAll(remoteNews)
}
}@Entity data classes.Flow<T> for observable data.suspend functions in interfaces.try-catch blocks or a Result wrapper to handle exceptions (NoInternet, 404, etc.) gracefully.WorkManager to push changes to server.@Binds
abstract fun bindNewsRepository(impl: OfflineFirstNewsRepository): NewsRepository© Moustachauve, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in .github/skills/android-data-layer of Moustachauve/WLED-Android.
Open the folder on GitHubat commit 7e164a8
We found 4 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 3 other GitHub owners. This page covers the copy in Moustachauve/WLED-Android, which our catalogue first saw on October 7, 2026.
Android Data Layer 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Android Data Layer this skillMoustachauve/WLED-Android | 169 | 3 repos | ~467 | Automated safety check: Pass | Apache-2.0 | |
| Kmp StarterDevAtrii/Kmp-Starter-Template | 167 | — | ~3.3k | Automated safety check: Pass | MIT | |
| Android Clean Architectureaffaan-m/ECC | 274k | 4 repos | ~2.2k | Automated safety check: Pass | MIT | |
| Android Data Layer and Room in KMPrcosteira79/android-skills | 150 | — | ~1.2k | Automated safety check: Pass | MIT | |
| Android Clean Architectureaffaan-m/ECC | 274k | 2 repos | ~1.8k | Automated safety check: Pass | MIT | |
| Android ArchitectureHoangNguyen0403/agent-skills-standard | 570 | — | ~601 | Automated safety check: Pass | MIT |
DevAtrii/Kmp-Starter-Template
Build production Android & iOS apps on the KMP Starter Template (Clean Architecture, MVI, Koin, Compose Multiplatform).
affaan-m/ECC
Applies Clean Architecture to Android and Kotlin Multiplatform projects: module layout, dependency rules, UseCases, Repositories and data layer patterns.
rcosteira79/android-skills
Sets out the repository pattern's error-propagation model for Android and Kotlin Multiplatform, plus the Room setup for commonMain.
affaan-m/ECC
适用于Android和Kotlin多平台项目的Clean Architecture模式——模块结构、依赖规则、用例、仓库以及数据层模式。
HoangNguyen0403/agent-skills-standard
Apply Clean Architecture layering, modularization, and Unidirectional Data Flow in Android projects.
ccplugins/awesome-claude-code-plugins
Bootstrap a new Flutter mobile app with clean architecture, Riverpod, FVM-pinned SDK, current packages, and no deprecated APIs.
Moustachauve/WLED-Android
Audit and improve Jetpack Compose runtime performance from code review and architecture.
Moustachauve/WLED-Android
Best practices for building UI with Jetpack Compose, focusing on state hoisting, detailed performance optimizations, and theming.
Moustachauve/WLED-Android
Debug and optimize Android/Gradle build performance. An agent skill from Moustachauve/WLED-Android.
Moustachauve/WLED-Android
Kotlin Coroutines review and remediation for Android. An agent skill from Moustachauve/WLED-Android.
Moustachauve/WLED-Android
Expert guidance on using Coil for image loading in Jetpack Compose.
Moustachauve/WLED-Android
Convert Android XML layouts to Jetpack Compose. An agent skill from Moustachauve/WLED-Android.
Works with
Categories
Guidance on implementing the Data Layer using Repository pattern, Room (Local), and Retrofit (Remote) with offline-first synchronization. Android Data Layer is an agent skill from Moustachauve/WLED-Android. Guidance on implementing the Data Layer using Repository pattern, Room (Local), and Retrofit (Remote) with offline-first synchronization.
Android Data Layer fits situations like: tasks that involve Design patterns.
Run `npx skills add Moustachauve/WLED-Android --skill android-data-layer -a claude-code`. Or copy the skill folder (.github/skills/android-data-layer in Moustachauve/WLED-Android) into .claude/skills/android-data-layer in your project. Claude Code loads it when a task matches its description.
Run `npx skills add Moustachauve/WLED-Android --skill android-data-layer -a codex`. Or copy the skill folder (.github/skills/android-data-layer in Moustachauve/WLED-Android) into .agents/skills/android-data-layer in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Moustachauve/WLED-Android --skill android-data-layer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/android-data-layer, .gemini/skills/android-data-layer, .github/skills/android-data-layer and .opencode/skills/android-data-layer in your project.
SKILL.md names no scripts, command-line tools or credentials: Android Data Layer is instructions for the agent only.
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.
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.
Android Data Layer 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.
About 467 tokens (SKILL.md is roughly 1.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Android Data Layer: Kmp Starter (DevAtrii/Kmp-Starter-Template, 167 stars), Android Clean Architecture (affaan-m/ECC, 274k stars), Android Data Layer and Room in KMP (rcosteira79/android-skills, 150 stars) and Android Clean Architecture (affaan-m/ECC, 274k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
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 7, 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.