gpui-element

longbridge/gpui-component · updated Apr 8, 2026

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

Use the low-level Element trait when:

skill.md

When to Use

Use the low-level Element trait when:

  • Need fine-grained control over layout calculation
  • Building complex, performance-critical components
  • Implementing custom layout algorithms (masonry, circular, etc.)
  • High-level Render/RenderOnce APIs are insufficient

Prefer Render/RenderOnce for: Simple components, standard layouts, declarative UI

Quick Start

The Element trait provides direct control over three rendering phases:

impl Element for MyElement {
    type RequestLayoutState = MyLayoutState;  // Data passed to later phases
    type PrepaintState = MyPaintState;        // Data for painting

    fn id(&self) -> Option<ElementId> {
        Some(self.id.clone())
    }

    fn source_location(&self) -> Option<&'static std::panic::Location<'static>> {
        None
    }

    // Phase 1: Calculate sizes and positions
    fn request_layout(&mut self, .., window: &mut Window, cx: &mut App)
        -> (LayoutId, Self::RequestLayoutState)
    {
        let layout_id = window.request_layout(
            Style { size: size(px(200.), px(100.)), ..default() },
            vec![],
            cx
        );
        (layout_id, MyLayoutState { /* ... */ })
    }

    // Phase 2: Create hitboxes, prepare for painting
    fn prepaint(&mut self, .., bounds: Bounds<Pixels>, layout: &mut Self::RequestLayoutState,
                window: &mut Window, cx: &mut App) -> Self::PrepaintState
    {
        let hitbox = window.insert_hitbox(bounds, HitboxBehavior::Normal);
        MyPaintState { hitbox }
    }

    // Phase 3: Render and handle interactions
    fn paint(&mut self, .., bounds: Bounds<Pixels>, layout: &mut Self::RequestLayoutState,
             paint_state: &mut Self::PrepaintState, window: &mut Window, cx: &mut App)
    {
        window.paint_quad(paint_quad(bounds, Corners::all(px(4.)), cx.theme().background));

        window.on_mouse_event({
            let hitbox = paint_state.hitbox.clone();
            move |event: &MouseDownEvent, phase, window, cx| {
                if hitbox.is_hovered(window) && phase.bubble() {
                    // Handle interaction
                    cx.stop_propagation();
                }
            }
        });
    }
}

// Enable element to be used as child
impl IntoElement for MyElement {
    type Element = Self;
    fn into_element(self) -> Self::Element { self }
}

Core Concepts

Three-Phase Rendering

  1. request_layout: Calculate sizes and positions, return layout ID and state
  2. prepaint: Create hitboxes, compute final bounds, prepare for painting
  3. paint: Render element, set up interactions (mouse events, cursor styles)

State Flow

RequestLayoutState → PrepaintState → paint

State flows in one direction through associated types, passed as mutable references between phases.

Key Operations

  • Layout: window.request_layout(style, children, cx) - Create layout node
  • Hitboxes: window.insert_hitbox(bounds, behavior) - Create interaction area
  • Painting: window.paint_quad(...) - Render visual content
  • Events: window.on_mouse_event(handler) - Handle user input

Reference Documentation

Complete API Documentation

  • Element Trait API: See api-reference.md
    • Associated types, methods, parameters, return values
    • Hitbox system, event handling, cursor styles

Implementation Guides

  • Examples: See examples.md

    • Simple text element with highlighting
    • Interactive element with selection
    • Complex element with child management
  • Best Practices: See best-practices.md

    • State management, performance optimization
    • Interaction handling, layout strategies
    • Error handling, testing, common pitfalls
  • Common Patterns: See patterns.md

    • Text rendering, container, interactive, composite, scrollable patterns
    • Pattern selection guide
  • Advanced Patterns: See advanced-patterns.md

    • Custom layout algorithms (masonry, circular)
    • Element composition with traits
    • Async updates, memoization, virtual lists
how to use gpui-element

How to use gpui-element 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-element
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-element

The skills CLI fetches gpui-element 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-element

Reload or restart Cursor to activate gpui-element. Access the skill through slash commands (e.g., /gpui-element) 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

4.538 reviews
  • Advait Yang· Dec 16, 2024

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

  • Omar Sanchez· Dec 8, 2024

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

  • Ganesh Mohane· Dec 4, 2024

    Useful defaults in gpui-element — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • James Iyer· Nov 27, 2024

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

  • Isabella Huang· Nov 7, 2024

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

  • Liam Robinson· Oct 26, 2024

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

  • James Menon· Oct 18, 2024

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

  • Olivia Smith· Sep 25, 2024

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

  • Piyush G· Sep 9, 2024

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

  • Yusuf Agarwal· Sep 9, 2024

    gpui-element has been reliable in day-to-day use. Documentation quality is above average for community skills.

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