gpui-context

longbridge/gpui-component · updated Apr 8, 2026

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$npx skills add https://github.com/longbridge/gpui-component --skill gpui-context
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summary

GPUI uses different context types for different scenarios:

skill.md

Overview

GPUI uses different context types for different scenarios:

Context Types:

  • App: Global app state, entity creation
  • Window: Window-specific operations, painting, layout
  • Context<T>: Entity-specific context for component T
  • AsyncApp: Async context for foreground tasks
  • AsyncWindowContext: Async context with window access

Quick Start

Context - Component Context

impl MyComponent {
    fn update_state(&mut self, cx: &mut Context<Self>) {
        self.value = 42;
        cx.notify(); // Trigger re-render

        // Spawn async task
        cx.spawn(async move |cx| {
            // Async work
        }).detach();

        // Get current entity
        let entity = cx.entity();
    }
}

App - Global Context

fn main() {
    let app = Application::new();
    app.run(|cx: &mut App| {
        // Create entities
        let entity = cx.new(|cx| MyState::default());

        // Open windows
        cx.open_window(WindowOptions::default(), |window, cx| {
            cx.new(|cx| Root::new(view, window, cx))
        });
    });
}

Window - Window Context

impl Render for MyView {
    fn render(&mut self, window: &mut Window, cx: &mut Context<Self>) -> impl IntoElement {
        // Window operations
        let is_focused = window.is_window_focused();
        let bounds = window.bounds();

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

AsyncApp - Async Context

cx.spawn(async move |cx: &mut AsyncApp| {
    let data = fetch_data().await;

    entity.update(cx, |state, inner_cx| {
        state.data = data;
        inner_cx.notify();
    }).ok();
}).detach();

Common Operations

Entity Operations

// Create entity
let entity = cx.new(|cx| MyState::default());

// Update entity
entity.update(cx, |state, cx| {
    state.value = 42;
    cx.notify();
});

// Read entity
let value = entity.read(cx).value;

Notifications and Events

// Trigger re-render
cx.notify();

// Emit event
cx.emit(MyEvent::Updated);

// Observe entity
cx.observe(&entity, |this, observed, cx| {
    // React to changes
}).detach();

// Subscribe to events
cx.subscribe(&entity, |this, source, event, cx| {
    // Handle event
}).detach();

Window Operations

// Window state
let focused = window.is_window_focused();
let bounds = window.bounds();
let scale = window.scale_factor();

// Close window
window.remove_window();

Async Operations

// Spawn foreground task
cx.spawn(async move |cx| {
    // Async work with entity access
}).detach();

// Spawn background task
cx.background_spawn(async move {
    // Heavy computation
}).detach();

Context Hierarchy

App (Global)
  └─ Window (Per-window)
       └─ Context<T> (Per-component)
            └─ AsyncApp (In async tasks)
                 └─ AsyncWindowContext (Async + Window)

Reference Documentation

  • API Reference: See api-reference.md
    • Complete context API, methods, conversions
    • Entity operations, window operations
    • Async contexts, best practices
how to use gpui-context

How to use gpui-context on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add gpui-context
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/longbridge/gpui-component --skill gpui-context

The skills CLI fetches gpui-context from GitHub repository longbridge/gpui-component and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/gpui-context

Reload or restart Cursor to activate gpui-context. Access the skill through slash commands (e.g., /gpui-context) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.674 reviews
  • Nikhil Smith· Dec 28, 2024

    gpui-context is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Layla Brown· Dec 28, 2024

    Registry listing for gpui-context matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Chaitanya Patil· Dec 12, 2024

    I recommend gpui-context for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Anika Bansal· Dec 12, 2024

    Keeps context tight: gpui-context is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Anika Gill· Dec 4, 2024

    Keeps context tight: gpui-context is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Anika Rao· Nov 23, 2024

    gpui-context is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Layla Bhatia· Nov 19, 2024

    Keeps context tight: gpui-context is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Diego Gill· Nov 19, 2024

    gpui-context reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Piyush G· Nov 3, 2024

    Solid pick for teams standardizing on skills: gpui-context is focused, and the summary matches what you get after install.

  • Anika Menon· Nov 3, 2024

    gpui-context is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

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