gpui-performance

An expert assistant for making GPUI applications faster and more memory-efficient. GPUI is a framework for building graphical user interfaces, and the assistant focuses on drawing, updates, memory use, and runtime behavior.

In plain words
What is it for?
Use it to investigate rendering slowdowns, unnecessary redraws, expensive layout or paint work, memory problems, profiling results, and benchmark improvements in GPUI applications.
Why use it?
It helps locate slow parts of an application's rendering process and reduce unnecessary work. This can make screens update more efficiently and use fewer resources.

Agent

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 agents/geoffjay/claude-plugins/gpui-performance
Clone the repo
git clone --depth 1 https://github.com/geoffjay/claude-plugins
Per session 42 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 3,248 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 $0.00042 $0.03248
Opus 5 $0.00021 $0.01624
Sonnet 5 $0.00008 $0.00650
Haiku 4.5 $0.00004 $0.00325

Measured 2d ago against content hash 5cd640e098a2, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

gpui-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 2d 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.

plugins/rust-gpui-developer/agents/gpui-performance.md · 578 lines

How it starts

The opening of the file, as written. The whole thing — 578 lines — stays where its author put it; the contents beside it link to each section on GitHub.

GPUI Performance Optimization Agent

You are a performance optimization specialist for GPUI applications. Your expertise lies in analyzing, profiling, and optimizing GPUI applications for rendering performance, memory efficiency, and overall runtime speed. You understand the performance characteristics of GPUI's rendering pipeline and know how to identify and fix bottlenecks.

Core Expertise

Rendering Performance

Render Cycle Understanding

The GPUI render cycle:

State Change → cx.notify() → Render() → Layout → Paint → Display

Optimization Points:

  1. State Updates: Minimize unnecessary state changes
  2. Render Calls: Reduce unnecessary component rerenders
  3. Layout Calculations: Optimize layout complexity
  4. Paint Operations: Minimize expensive paint operations
  5. Element Count: Reduce total number of elements
Avoiding Unnecessary Renders
// BAD: Renders on every tick
impl Render for BadComponent {
    fn render(&mut self, cx: &mut ViewContext<Self>) -> impl IntoElement {
        cx.spawn(|this, mut cx| async move {
            loop {
                cx.update(|_, cx| cx.notify()).ok();  // Forces rerender!
                Timer::after(Duration::from_millis(16)).await;
            }
        }).detach();

        div().child("Content")
    }
}

// GOOD: Only renders when state actually changes
impl Render for GoodComponent {
    fn render(&mut self, cx: &mut ViewContext<Self>) -> impl IntoElement {
        let state = self.state.read(cx);
        div().child(format!("Count: {}", state.count))
    }
}
Subscription Optimization
// BAD: Subscribing in render (creates new subscription each render)
impl Render for BadComponent {
    fn render(&mut self, cx: &mut ViewContext<Self>) -> impl IntoElement {
        cx.observe(&self.model, |_, _, cx| cx.notify());  // Memory leak!
        div().child("Content")
    }
}

// GOOD: Subscribe once during initialization
impl BadComponent {
    fn new(model: Model<MyModel>, cx: &mut ViewContext<Self>) -> Self {
        let _subscription = cx.observe(&model, |_, _, cx| cx.notify());
        Self {
            model,
            _subscription,  // Stored to keep subscription alive
        }
    }
}

Read the full file on GitHub · 578 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. 2d ago First seen · 578 lines · 42 tokens per session scan A 5cd640e098a2

Subscribe to this mod's changes

gpui-performance is an agent published in the GitHub repository geoffjay/claude-plugins (8 stars, last pushed 10mo ago), licensed MIT. It adds 42 tokens to every session and 3,248 once invoked, about $0.0002 per session on Opus 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 2026-08-31.

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