Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/skydoves/compose-performance-skillsnpx agentmods add skills/skydoves/compose-performance-skills/generating-baseline-profilesWrote 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.
[](https://agentmods.dev/skills/skydoves/compose-performance-skills/generating-baseline-profiles)<a href="https://agentmods.dev/skills/skydoves/compose-performance-skills/generating-baseline-profiles"><img src="https://agentmods.dev/badge/skills/skydoves/compose-performance-skills/generating-baseline-profiles/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.
<a href="https://agentmods.dev/skills/skydoves/compose-performance-skills/generating-baseline-profiles"><img src="https://agentmods.dev/badge/skills/skydoves/compose-performance-skills/generating-baseline-profiles.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00217 | $0.04737 |
| Opus 5.5 | $0.00087 | $0.01895 |
| Sonnet 5.5 | $0.00043 | $0.00947 |
| Haiku 4.5 | $0.00022 | $0.00474 |
Grade A, and why
generating-baseline-profiles 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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 362 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Generating Baseline Profiles — ship the AOT compilation hint list and prove it moved the needle
Baseline Profiles ship an AOT compilation hint list inside the APK so ART pre-compiles hot Compose code paths on install instead of relying on JIT during the first runs. Cited gains: roughly 30% faster cold startup and 40% smoother first-scroll on the journeys that were profiled. Compose ships unbundled from the platform, so every Compose UI app benefits — there is no version of Android where Compose is already AOT-compiled by the system image.
This skill is the measurement spine for the rest of the performance work. Profiles are generated with BaselineProfileRule from androidx.benchmark:benchmark-macro-junit4 and measured with MacrobenchmarkRule from the same artifact. Generation and measurement are two distinct @Test files in a separate :baselineprofile module that AGP 8.2+ scaffolds via New Module → Baseline Profile Generator.
When to use this skill
- Cold startup is slow and the developer wants AOT-compiled hot paths on first launch.
- First-scroll on a
LazyColumn/LazyVerticalGridis janky on real devices even after stability fixes. - Preparing a release build and the developer needs a perf baseline before shipping.
- Verifying that a stability or strong-skipping fix actually moved cold-startup or frame-timing numbers — Macrobenchmark is the ground truth.
- The user mentions "baseline profile", "macrobenchmark", "TTFD", "time-to-fully-drawn", "StartupTimingMetric", "FrameTimingMetric", "CompilationMode",
aosp_cf_x86_64_phone-userdebug, or "ReportDrawn".
When NOT to use this skill
- Still in early prototyping with no release-ready user journeys yet — Baseline Profiles encode hot paths, and there are no hot paths to encode while screens are still churning.
- The developer wants per-composable recomposition counts — that is
../../recomposition/debugging-recompositions/SKILL.md(debug Layout Inspector) or../tracing-recompositions-at-runtime/SKILL.md(release@TraceRecomposition). - The developer wants a CI gate against stability regressions — that is
../../stability/enforcing-stability-in-ci/SKILL.md. Baseline Profiles measure runtime;stabilityCheckmeasures compile-time skippability. - Numbers are being collected from a debug build — debug builds run interpreted with Live Literals and produce non-representative numbers. See
../testing-compose-in-release-mode/SKILL.md.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 1mo ago First seen · 362 lines · 217 tokens per session scan A 71db8275033d
generating-baseline-profiles is a skill published in the GitHub repository skydoves/compose-performance-skills (520 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 217 tokens to every session and 4,737 once invoked, about $0.0009 per session on Opus 5.5. 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.
Other skills, from other repositories
claude-android-ninja
Build and migrate Android apps with Kotlin, Jetpack Compose, MVVM, Hilt, Room 3 (KSP, SQLiteDriver, Flow/suspend DAOs), Navigation3, and multi-module Gradle. Use for new projects or modules, Compose screens and ViewModels, Room 3 and RemoteMediator, API 37 / targetSdk migration, Play Integrity client wiring…
rebrand
Rebrand a fresh clone of android-clean-template into a new app. Asks for the app name, application id, and the sample-feature, login and networking decisions, then executes docs/CLONECHECKLIST.md end to end. Use on a fresh un-rebranded clone (application id still com.mkchtv.cleantemplate) or when the user asks to set…
sceneview
Build 3D and AR apps with the SceneView SDK in Jetpack Compose, SwiftUI (iOS/macOS/visionOS via SceneViewSwift), Web (Filament.js), Flutter and React Native. Use whenever the user asks for "3D in Compose", "AR with ARCore in Compose", a model viewer, or any cross-platform 3D/AR app where the dependency is…
sceneview-ios
Build 3D and AR apps on Apple platforms (iOS, macOS, visionOS) with SceneViewSwift — the SwiftUI wrapper around RealityKit. Use whenever the user asks for "3D in SwiftUI", "AR with ARKit in SwiftUI", a model viewer for iOS, or any Apple-platform 3D/AR app where the dependency is the SceneViewSwift Swift Package from…
compose-animations
Use when writing or reviewing Jetpack Compose motion: visibility enter/exit, animating one property toward a target, color or size transitions, multiple properties from one state, switching composable content, or choosing between AnimatedVisibility, animateAsState, rememberTransition, AnimatedContent, and Crossfade.
compose-focus-navigation
Use when writing or reviewing Jetpack Compose UI for TV, keyboard, desktop, accessibility focus, D-pad navigation, FocusRequester, focusProperties, key events, or initial focus behavior.