Compose Multiplatform Patterns
monta-app/ocpp-emulator
Compose Multiplatform and Jetpack Compose patterns for KMP projects — state management, navigation, theming, performance, and platform-specific UI.
A skill your agent uses to tune Jetpack Compose lazy-layout prefetch with LazyLayoutCacheWindow (Compose Foundation 1.9+, @ExperimentalFoundationApi) and pausable composition in prefetch (Compose…
$ npx skills add rosuH/EasyWatermark --skill configuring-lazy-prefetch -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install rosuH/EasyWatermark configuring-lazy-prefetch --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/rosuH/EasyWatermark.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/configuring-lazy-prefetch .claude/skills/configuring-lazy-prefetch && 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 "configuring-lazy-prefetch" agent skill from https://github.com/rosuH/EasyWatermark/tree/master/.agents/skills/configuring-lazy-prefetch into .claude/skills/configuring-lazy-prefetch/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "configuring-lazy-prefetch", 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/rosuH/EasyWatermark/tree/master/.agents/skills/configuring-lazy-prefetchType 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 rosuH/EasyWatermark --skill configuring-lazy-prefetch -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install rosuH/EasyWatermark configuring-lazy-prefetch --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/rosuH/EasyWatermark.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/configuring-lazy-prefetch .agents/skills/configuring-lazy-prefetch && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "configuring-lazy-prefetch" agent skill from https://github.com/rosuH/EasyWatermark/tree/master/.agents/skills/configuring-lazy-prefetch into .agents/skills/configuring-lazy-prefetch/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "configuring-lazy-prefetch", 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 rosuH/EasyWatermark --skill configuring-lazy-prefetch -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install rosuH/EasyWatermark configuring-lazy-prefetch --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/rosuH/EasyWatermark.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/configuring-lazy-prefetch .cursor/skills/configuring-lazy-prefetch && 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 "configuring-lazy-prefetch" agent skill from https://github.com/rosuH/EasyWatermark/tree/master/.agents/skills/configuring-lazy-prefetch into .cursor/skills/configuring-lazy-prefetch/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "configuring-lazy-prefetch", 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/rosuH/EasyWatermark.git --path .agents/skills/configuring-lazy-prefetch--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 rosuH/EasyWatermark --skill configuring-lazy-prefetch -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install rosuH/EasyWatermark configuring-lazy-prefetch --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/rosuH/EasyWatermark.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/configuring-lazy-prefetch .gemini/skills/configuring-lazy-prefetch && 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 "configuring-lazy-prefetch" agent skill from https://github.com/rosuH/EasyWatermark/tree/master/.agents/skills/configuring-lazy-prefetch into .gemini/skills/configuring-lazy-prefetch/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "configuring-lazy-prefetch", 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 rosuH/EasyWatermark configuring-lazy-prefetchInstalls 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 rosuH/EasyWatermark --skill configuring-lazy-prefetch -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/rosuH/EasyWatermark.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/configuring-lazy-prefetch .github/skills/configuring-lazy-prefetch && 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 "configuring-lazy-prefetch" agent skill from https://github.com/rosuH/EasyWatermark/tree/master/.agents/skills/configuring-lazy-prefetch into .github/skills/configuring-lazy-prefetch/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "configuring-lazy-prefetch", 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 rosuH/EasyWatermark --skill configuring-lazy-prefetch -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install rosuH/EasyWatermark configuring-lazy-prefetch --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/rosuH/EasyWatermark.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/configuring-lazy-prefetch .opencode/skills/configuring-lazy-prefetch && 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 "configuring-lazy-prefetch" agent skill from https://github.com/rosuH/EasyWatermark/tree/master/.agents/skills/configuring-lazy-prefetch into .opencode/skills/configuring-lazy-prefetch/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "configuring-lazy-prefetch", 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.
configuring-lazy-prefetchA skill your agent uses to tune Jetpack Compose lazy-layout prefetch with LazyLayoutCacheWindow (Compose Foundation 1.9+, @ExperimentalFoundationApi) and pausable composition in prefetch (Compose…
Configuring Lazy Prefetch is an agent skill from rosuH/EasyWatermark. Use this skill to tune Jetpack Compose lazy-layout prefetch with LazyLayoutCacheWindow (Compose Foundation 1.9+, @ExperimentalFoundationApi) and pausable composition in prefetch (Compose Foundation 1.10+, default on). Covers configurable Dp-based ahead/behind cache windows plumbed through rememberLazyListState(cacheWindow = ...), NestedPrefetchScope for items containing inner lazy layouts (HorizontalPager inside a LazyColumn row), version requirements, and the trade-off between memory pressure and idle-frame…
Its SKILL.md is about 3.8k 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: 🔒 🖼 Securely, easily add a watermark to your sensitive photos. 安全、简单地为你的敏感照片添加水印,防止被人泄露、利用. The licence is Apache-2.0.
Read from SKILL.md and the folder at commit 61223db. 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 (its code samples are kotlin).
From the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
developer.android.comandroid-developers.googleblog.commedium.comgithub.comFrom 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.
Configuring Lazy Prefetch loads about 3.8k tokens when it runs. Until then it costs about 215 tokens; SKILL.md has 1,201 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 rosuH/EasyWatermark at commit 61223db, republished under its Apache-2.0 licence (© rosuH). 1,201 words, ~3,772 tokens.
.claude/skills/configuring-lazy-prefetch/SKILL.md (or your agent's skills folder).Lazy layouts pre-compose items just outside the viewport so they're ready when the user scrolls. Compose Foundation 1.9 added LazyLayoutCacheWindow for configurable ahead/behind extents. Compose Foundation 1.10 made prefetch composition pausable by default — work spreads across multiple frames instead of one. Most apps still rely on legacy single-frame prefetch and unknowingly pay for it during heavy scrolling. This skill teaches Claude when (and only when) to widen the window or implement nested prefetch, and how to validate the change with Macrobenchmark.
FrameTimingMetric shows dropped frames at high scroll velocity even though item composables are skippable.LazyColumn rows that each host a HorizontalPager or inner LazyRow).LazyLayoutCacheWindow, NestedPrefetchScope, "prefetch window", "ahead extent", or "pausable composition for prefetch".../optimizing-lazy-layouts/SKILL.md and the underlying stability via ../../stability/diagnosing-compose-stability/SKILL.md.state.value in Composition) — use ../../recomposition/deferring-state-reads/SKILL.md.LazyLayoutCacheWindow API. The cache window is a @ExperimentalFoundationApi factory LazyLayoutCacheWindow(ahead: Dp, behind: Dp) plumbed through rememberLazyListState(cacheWindow = ...) (or the equivalent grid/staggered-grid state). It is NOT a parameter on LazyColumn / LazyRow / LazyVerticalGrid / LazyHorizontalGrid directly. Every call site requires @OptIn(ExperimentalFoundationApi::class).key, contentType, stable item composables. Run ../optimizing-lazy-layouts/SKILL.md first and confirm before tuning the window.FrameTimingMetric. See ../../measurement/generating-baseline-profiles/SKILL.md for the Macrobenchmark scaffold. 1. Confirm Compose Foundation version. In gradle/libs.versions.toml or the relevant build.gradle.kts, verify androidx.compose.foundation:foundation is at 1.9.0+ (cache window) or 1.10.0+ (pausable prefetch on by default). If on 1.10+ and not measuring jank yet, MUST stop here — the default is good enough for most apps.
2. Re-validate item-level fixes are in place. Open ../optimizing-lazy-layouts/SKILL.md. Every items(...) call has stable key, mixed feeds have contentType, item composables are skippable. Without this baseline, prefetch tuning is treating the symptom.
3. Measure the baseline with Macrobenchmark FrameTimingMetric before changing anything. Skydoves hot take #5: debug builds lie. Always measure release + R8 + real device. Capture frameDurationCpuMs p50/p95/p99 over a fixed scroll journey so the after-comparison is meaningful. See ../../measurement/generating-baseline-profiles/SKILL.md.
4. Construct a LazyLayoutCacheWindow only after measurement justifies it. Build the window with the top-level factory LazyLayoutCacheWindow(ahead: Dp, behind: Dp) and plumb it through rememberLazyListState(cacheWindow = window), then pass that state to LazyColumn(state = state) { ... }. The cache window is not a parameter on LazyColumn itself. Every call site needs @OptIn(ExperimentalFoundationApi::class).
// RIGHT — measured tall, image-heavy items benefit from a deeper ahead extent
@OptIn(ExperimentalFoundationApi::class)
@Composable
fun HeavyFeed(items: ImmutableList<HeavyItem>) {
val state = rememberLazyListState(
cacheWindow = LazyLayoutCacheWindow(ahead = 200.dp, behind = 100.dp)
)
LazyColumn(state = state) {
items(items, key = { it.id }, contentType = { it::class }) { item ->
HeavyItemRow(item, Modifier.animateItem())
}
}
} 5. Implement NestedPrefetchScope for items that host inner lazy layouts. When a LazyColumn row contains a HorizontalPager, inner LazyRow, or inner LazyVerticalGrid, the outer prefetch can warm only the row's outer composition by default. Implementing nested prefetch chains the work so the inner layout's first item composes during the outer prefetch slot, not on the user's first horizontal swipe.
6. Re-measure with the same Macrobenchmark journey. Compare frameDurationCpuMs p95/p99 before and after. If the rate did not decrease, MUST revert the window change and look elsewhere — likely measure or draw dominates, or item composition was already keeping up.
7. If still dropping frames on Compose Foundation 1.10+ with pausable prefetch, profile to confirm the bottleneck. Use Android Studio CPU profiler / system trace to determine whether composition, measurement, or draw is the dominant phase per frame. Prefetch tuning only addresses composition cost; for measure/draw, simplify item content (smaller images, fewer subcompositions, graphicsLayer for alpha/scale) instead.
8. Change one variable at a time. MUST NOT combine cache-window tuning with stability/key fixes in the same commit or PR. Profiling needs an isolated cause-and-effect comparison; bundling two changes makes the regression bisect impossible.
// OK — short, light items: default behavior is correct
LazyColumn {
items(items, key = { it.id }, contentType = { it::class }) { Item(it) }
}// RIGHT — measured-heavy items justify a wider ahead window (Compose Foundation 1.9+)
@OptIn(ExperimentalFoundationApi::class)
@Composable
fun HeavyFeed(items: ImmutableList<HeavyItem>) {
val state = rememberLazyListState(
cacheWindow = LazyLayoutCacheWindow(ahead = 200.dp, behind = 100.dp)
)
LazyColumn(state = state) {
items(items, key = { it.id }, contentType = { it::class }) { HeavyItem(it) }
}
}// RIGHT — the outer LazyColumn warms the inner pager's first item via nested prefetch
LazyColumn {
items(rows, key = { it.id }, contentType = { it::class }) { row ->
HorizontalPager(
state = rememberPagerState(pageCount = { row.pages.size }),
// Implement NestedPrefetchScope on the inner pager so outer prefetch chains in.
) { pageIndex ->
PagerPage(row.pages[pageIndex])
}
}
}Without nested prefetch, only the outer row warms — the user's first horizontal swipe still pays composition cost for the inner page. With nested prefetch, the inner first page is composed during the outer prefetch slot.
// WRONG
@OptIn(ExperimentalFoundationApi::class)
@Composable
fun WideWindow(items: ImmutableList<Item>) {
val state = rememberLazyListState(
cacheWindow = LazyLayoutCacheWindow(ahead = 2000.dp, behind = 2000.dp)
)
LazyColumn(state = state) { /* ... */ }
}
// WRONG because: a 2000.dp ahead/behind window pre-composes a screenful of extra items on every scroll tick. Memory pressure rises (especially with image-heavy items) and a single direction-reverse wastes most of the prefetched work. Wide windows are not "safe defaults" — they are deliberate trade-offs that MUST be backed by Macrobenchmark numbers.// RIGHT — start narrow, widen only if FrameTimingMetric demands it
@OptIn(ExperimentalFoundationApi::class)
@Composable
fun NarrowWindow(items: ImmutableList<Item>) {
val state = rememberLazyListState(
cacheWindow = LazyLayoutCacheWindow(ahead = 200.dp, behind = 100.dp)
)
LazyColumn(state = state) { /* ... */ }
}// WRONG
@OptIn(ExperimentalFoundationApi::class)
@Composable
fun Feed(items: List<Item>) { // unstable parameter
val state = rememberLazyListState(
cacheWindow = LazyLayoutCacheWindow(ahead = 400.dp, behind = 200.dp)
)
LazyColumn(state = state) {
items(items, key = { it.id }) { item -> ItemRow(item) }
}
}
// WRONG because: pre-composing additional unstable rows just spreads the same wasted work over more frames. The cache window cannot fix non-skippable item composables.// RIGHT — fix stability first, then leave the window at default; widen only if Macrobenchmark still shows jank
@Composable
fun Feed(items: ImmutableList<Item>) {
LazyColumn {
items(items, key = { it.id }, contentType = { it::class }) { item -> ItemRow(item) }
}
}Cross-reference: ../optimizing-lazy-layouts/SKILL.md and ../../stability/stabilizing-compose-types/SKILL.md.
// RIGHT — on 1.10+, prefetch composition is pausable by default; a single heavy item no longer blows the frame budget
// gradle/libs.versions.toml:
// compose-foundation = "1.10.0"
LazyColumn {
items(items, key = { it.id }, contentType = { it::class }) { HeavyItem(it) }
}Pausable composition lets the prefetch composer suspend mid-item when the frame deadline approaches and resume on the next idle frame. PREFERRED: upgrade to Compose Foundation 1.10+ and benefit from this default before manually widening the cache window.
FrameTimingMetric baseline proves the prefetch window is the bottleneck. Premature tuning increases memory pressure without fixing jank.LazyLayoutCacheWindow (1.9+) or relying on pausable prefetch defaults (1.10+).LazyLayoutCacheWindow(...) with @OptIn(ExperimentalFoundationApi::class). Plumb the window through rememberLazyListState(cacheWindow = ...) (or the matching grid/staggered-grid state factory), then pass that state to the lazy layout — the cache window is not a parameter on LazyColumn / LazyRow / LazyVerticalGrid / LazyHorizontalGrid themselves.Dp (the API takes Dp, not item counts).../optimizing-lazy-layouts/SKILL.md (keys, contentType, item stability) before tuning the cache window. Prefetch cannot fix non-skippable items.NestedPrefetchScope for any item that contains an inner lazy layout (HorizontalPager, inner LazyRow, inner LazyVerticalGrid) before widening the outer window.androidx.compose.foundation:foundation resolves to 1.9.0+ (cache window) or 1.10.0+ (pausable prefetch by default) in the dependency report.FrameTimingMetric frameDurationCpuMs p95 / p99 measurably decreases on the same scroll journey after the change, on a real device with R8 enabled.NestedPrefetchScope was added, the user's first inner-pager swipe runs at native frame rate (no first-swipe stutter).© rosuH, 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 .agents/skills/configuring-lazy-prefetch of rosuH/EasyWatermark.
Open the folder on GitHubat commit 61223db
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in rosuH/EasyWatermark, which our catalogue first saw on October 7, 2026.
Configuring Lazy Prefetch 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 |
|---|---|---|---|---|---|---|
| Configuring Lazy Prefetch this skillrosuH/EasyWatermark | 1.9k | 1 repos | ~3.8k | Automated safety check: Pass | Apache-2.0 | |
| Compose Multiplatform Patternsmonta-app/ocpp-emulator | 180 | 5 repos | ~2k | Automated safety check: Pass | Apache-2.0 | |
| Android Developmentdpconde/claude-android-skill | 337 | — | ~1.7k | Automated safety check: Pass | MIT | |
| Stylesarindamxd/camerax-android | 132 | 4 repos | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| Benchmarkandroidx/androidx | 6.1k | — | ~1.1k | Automated safety check: Pass | Apache-2.0 | |
| Mobile Android Designopenvetta/open-vetta | 291 | 3 repos | ~950 | Automated safety check: Pass | Apache-2.0 |
monta-app/ocpp-emulator
Compose Multiplatform and Jetpack Compose patterns for KMP projects — state management, navigation, theming, performance, and platform-specific UI.
dpconde/claude-android-skill
Create production-quality Android applications following Google's official architecture guidance and NowInAndroid best practices.
arindamxd/camerax-android
A skill your agent uses to integrate the Jetpack Compose Styles API into an Android project.
androidx/androidx
Benchmarking and improving the performance of Jetpack Compose.
openvetta/open-vetta
Master Material Design 3 and Jetpack Compose patterns for building native Android apps.
Moustachauve/WLED-Android
Audit and improve Jetpack Compose runtime performance from code review and architecture.
rosuH/EasyWatermark
A skill your agent uses to push frequently-changing Jetpack Compose state reads (scroll position, animation values, drag offsets) out of the Composition phase and down into Layout or Draw using…
rosuH/EasyWatermark
A skill your agent uses to diagnose Jetpack Compose stability problems by enabling and reading the Compose Compiler Reports (classes.txt, composables.txt, composables.csv, module.json).
rosuH/EasyWatermark
A skill your agent uses to generate and measure Jetpack Compose Baseline Profiles end-to-end with the AGP 8.2+ Baseline Profile Generator module and the Macrobenchmark harness.
rosuH/EasyWatermark
A skill your agent uses to author new custom Jetpack Compose modifiers and migrate legacy ones from Modifier.composed { } to Modifier.Node + ModifierNodeElement<T.
rosuH/EasyWatermark
Analyzes Android codebases to implement ML Kit GenAI Prompt API.
rosuH/EasyWatermark
A skill your agent uses to fix unstable Jetpack Compose types once a stability diagnosis has identified them.
Works with
Categories
A skill your agent uses to tune Jetpack Compose lazy-layout prefetch with LazyLayoutCacheWindow (Compose Foundation 1.9+, @ExperimentalFoundationApi) and pausable composition in prefetch (Compose…. Configuring Lazy Prefetch is an agent skill from rosuH/EasyWatermark.10+, default on).
Configuring Lazy Prefetch fits situations like: tune Jetpack Compose lazy-layout prefetch with LazyLayoutCacheWindow (Compose Foundation 1.9+; @ExperimentalFoundationApi) and pausable composition in prefetch (Compose Foundation 1.10+; the developer mentions dropped frames at high scroll velocity; prefetch window.
Run `npx skills add rosuH/EasyWatermark --skill configuring-lazy-prefetch -a claude-code`. Or copy the skill folder (.agents/skills/configuring-lazy-prefetch in rosuH/EasyWatermark) into .claude/skills/configuring-lazy-prefetch in your project. Claude Code loads it when a task matches its description.
Run `npx skills add rosuH/EasyWatermark --skill configuring-lazy-prefetch -a codex`. Or copy the skill folder (.agents/skills/configuring-lazy-prefetch in rosuH/EasyWatermark) into .agents/skills/configuring-lazy-prefetch 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 rosuH/EasyWatermark --skill configuring-lazy-prefetch -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/configuring-lazy-prefetch, .gemini/skills/configuring-lazy-prefetch, .github/skills/configuring-lazy-prefetch and .opencode/skills/configuring-lazy-prefetch in your project.
SKILL.md names no scripts, command-line tools or credentials: Configuring Lazy Prefetch is instructions for the agent only.
SKILL.md names 4 domains. As links in the text: developer.android.com, android-developers.googleblog.com, medium.com and github.com. 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.
Configuring Lazy Prefetch is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 3.8k tokens (SKILL.md is roughly 15k 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 Configuring Lazy Prefetch: Compose Multiplatform Patterns (monta-app/ocpp-emulator, 180 stars), Android Development (dpconde/claude-android-skill, 337 stars), Styles (arindamxd/camerax-android, 132 stars) and Benchmark (androidx/androidx, 6.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
rosuH (a GitHub user) maintains it in rosuH/EasyWatermark, which has 1,895 GitHub stars. The repository holds 28 skills in this directory. The repository was last updated on October 6, 2026.
Source: rosuH/EasyWatermark on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.