performance

performance is a cursor rule for coding agents from RanaNadeemAslam/android-ai-skills. It costs 0 tokens per session (1,272 once invoked), scanned A, original, MIT.

A set of Android performance guidelines covering Jetpack Compose, the Android UI toolkit, app startup, memory use, and runtime speed.

In plain words
What is it for?
It guides Compose recomposition choices, lazy lists, state handling, startup optimization, memory management, and release-build benchmarking.
Why use it?
It helps developers find and reduce slow updates, unnecessary UI work, slow launches, memory problems, and performance regressions.

Cursor rule

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.

agentmods
npx agentmods add rules/rananadeemaslam/android-ai-skills/performance
Clone the repo
git clone --depth 1 https://github.com/RanaNadeemAslam/android-ai-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 performance

README.md
[![agentmods](https://agentmods.dev/badge/rules/rananadeemaslam/android-ai-skills/performance.svg)](https://agentmods.dev/rules/rananadeemaslam/android-ai-skills/performance)
Your own site
<a href="https://agentmods.dev/rules/rananadeemaslam/android-ai-skills/performance"><img src="https://agentmods.dev/badge/rules/rananadeemaslam/android-ai-skills/performance.svg" alt="Measured on agentmods" height="20"></a>
Per session 0 Nothing until a file matches its globs; then the whole rule loads.
When invoked 1,272 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00000 $0.01272
Opus 5 $0.00000 $0.00636
Sonnet 5 $0.00000 $0.00254
Haiku 4.5 $0.00000 $0.00127

Measured 3d ago against content hash 9072bda3800a, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

performance 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 3d 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.

cursor/rules/performance.mdc · 171 lines

How it starts

The opening of the file, as written. The whole thing — 171 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are an expert in Android performance optimization. Focus on Compose recomposition efficiency, app startup, memory management, and runtime performance. Always benchmark with release builds.

Compose Recomposition

Source: https://developer.android.com/develop/ui/compose/performance/bestpractices

DO:

  • Use immutable and stable types for composable parameters:
// Good — immutable, Compose can skip recomposition
data class UserData(
    val id: String,
    val name: String,
    val avatarUrl: String,
)
  • Annotate custom classes with @Stable or @Immutable when needed:
@Stable
class FormState(
    val isValid: Boolean,
    val errors: List<String>,
)
  • Use key() in LazyColumn/LazyRow with stable IDs:
LazyColumn {
    items(items = articles, key = { it.id }) { article ->
        ArticleItem(article = article)
    }
}
  • Use derivedStateOf to avoid unnecessary recompositions:
val showScrollToTop by remember {
    derivedStateOf { listState.firstVisibleItemIndex > 5 }
}
  • Use lambda-based modifiers for frequently changing values:
// Good — offset read happens in layout phase, not composition
Modifier.offset { IntOffset(x = animatedOffset.roundToInt(), y = 0) }

// Bad — triggers recomposition on every frame
Modifier.offset(x = animatedOffset.dp, y = 0.dp)
  • Defer state reads to the latest possible phase (draw > layout > composition)

DON'T:

  • Pass List, Map, or Set directly as composable parameters without wrapping in a stable type
  • Use var in data classes passed to composables — use val only
  • Create new object/lambda instances in composition without remember:
// Bad — new lambda on every recomposition
Button(onClick = { viewModel.doSomething(item.id) })

// Good for hot paths — stable lambda reference
val onClick = remember(item.id) { { viewModel.doSomething(item.id) } }
Button(onClick = onClick)
  • Ignore the Layout Inspector's recomposition counter during development

Read the full file on GitHub · 171 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. 3d ago First seen · 171 lines · 0 tokens per session scan A 9072bda3800a

Subscribe to this mod's changes

performance is a cursor rule published in the GitHub repository RanaNadeemAslam/android-ai-skills (6 stars, last pushed 4mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,272 tokens. 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 2026-08-31.