Toolkit for developing cross-platform AI chat applications with Makepad.

Install

mkdir -p .claude/skills/molykit-anhvu1107 && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/14861" && unzip -o skill.zip -d .claude/skills/molykit-anhvu1107 && rm skill.zip

Installs to .claude/skills/molykit-anhvu1107

Activation

This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.

ALWAYS use this when the request matches Molykit: CRITICAL: Use for MolyKit AI chat toolkit.
92 chars✓ has a “when” trigger
Intermediate

Key capabilities

  • Build AI chat interfaces with Makepad
  • Integrate OpenAI or other LLM APIs
  • Implement cross-platform async for native and WASM
  • Create chat widgets like messages, prompts, and avatars
  • Handle SSE streaming responses for AI chat
  • Support Model Context Protocol (MCP)

How it works

MolyKit provides cross-platform async utilities and chat widgets, integrating AI providers through a BotClient trait and handling SSE streaming.

Inputs & outputs

You give it
AI provider API key, messages, bot ID, tools
You get back
Streamed message content, bot list, client results

When to use molykit

  • Build AI chat interface
  • Implement SSE streaming
  • Integrate AI bot client
  • Use Makepad chat widgets

About this skill

MolyKit Skill

Selective Reading Rule

Start with:

  • references/senior-master-standard.md
  • references/usage-routing.md
  • references/quality-checklist.md

Then load only the inherited docs, scripts, assets, or examples that match the user's actual task.

Best practices for building AI chat interfaces with Makepad using MolyKit - a toolkit for cross-platform AI chat applications.

Source codebase: /Users/zhangalex/Work/Projects/FW/robius/moly/moly-kit

When to Use

Use this skill when:

  • Building AI chat interfaces with Makepad
  • Integrating OpenAI or other LLM APIs
  • Implementing cross-platform async for native and WASM
  • Creating chat widgets (messages, prompts, avatars)
  • Handling SSE streaming responses
  • Keywords: molykit, moly-kit, ai chat, bot client, openai makepad, chat widget, sse streaming

Overview

MolyKit provides:

  • Cross-platform async utilities (PlatformSend, spawn(), ThreadToken)
  • Ready-to-use chat widgets (Chat, Messages, PromptInput, Avatar)
  • BotClient trait for AI provider integration
  • OpenAI-compatible client with SSE streaming
  • Protocol types for messages, bots, and tool calls
  • MCP (Model Context Protocol) support

Cross-Platform Async Patterns

PlatformSend - Send Only on Native

/// Implies Send only on native platforms, not on WASM
/// - On native: implemented by types that implement Send
/// - On WASM: implemented by ALL types
pub trait PlatformSend: PlatformSendInner {}

/// Boxed future type for cross-platform use
pub type BoxPlatformSendFuture<'a, T> = Pin<Box<dyn PlatformSendFuture<Output = T> + 'a>>;

/// Boxed stream type for cross-platform use
pub type BoxPlatformSendStream<'a, T> = Pin<Box<dyn PlatformSendStream<Item = T> + 'a>>;

Platform-Agnostic Spawning

/// Runs a future independently
/// - Uses tokio on native (requires Send)
/// - Uses wasm-bindgen-futures on WASM (no Send required)
pub fn spawn(fut: impl PlatformSendFuture<Output = ()> + 'static);

// Usage
spawn(async move {
    let result = fetch_data().await;
    Cx::post_action(DataReady(result));
    SignalToUI::set_ui_signal();
});

Task Cancellation with AbortOnDropHandle

/// Handle that aborts its future when dropped
pub struct AbortOnDropHandle(AbortHandle);

// Usage - task cancelled when widget dropped
#[rust]
task_handle: Option<AbortOnDropHandle>,

fn start_task(&mut self) {
    let (future, handle) = abort_on_drop(async move {
        // async work...
    });
    self.task_handle = Some(handle);
    spawn(async move { let _ = future.await; });
}

ThreadToken for Non-Send Types on WASM

/// Store non-Send value in thread-local, access via token
pub struct ThreadToken<T: 'static>;

impl<T> ThreadToken<T> {
    pub fn new(value: T) -> Self;
    pub fn peek<R>(&self, f: impl FnOnce(&T) -> R) -> R;
    pub fn peek_mut<R>(&self, f: impl FnOnce(&mut T) -> R) -> R;
}

// Usage - wrap non-Send type for use across Send boundaries
let token = ThreadToken::new(non_send_value);
spawn(async move {
    token.peek(|value| {
        // use value...
    });
});

BotClient Trait

Implementing AI Provider Integration

pub trait BotClient: Send {
    /// Send message with streamed response
    fn send(
        &mut self,
        bot_id: &BotId,
        messages: &[Message],
        tools: &[Tool],
    ) -> BoxPlatformSendStream<'static, ClientResult<MessageContent>>;

    /// Get available bots/models
    fn bots(&self) -> BoxPlatformSendFuture<'static, ClientResult<Vec<Bot>>>;

    /// Clone for passing around
    fn clone_box(&self) -> Box<dyn BotClient>;
}

// Usage
let client = OpenAIClient::new("https://api.openai.com/v1".into());
client.set_key("sk-...")?;
let context = BotContext::from(client);

BotContext - Sharable Wrapper

/// Sharable wrapper with loaded bots for sync UI access
pub struct BotContext(Arc<Mutex<InnerBotContext>>);

impl BotContext {
    pub fn load(&mut self) -> BoxPlatformSendFuture<ClientResult<()>>;
    pub fn bots(&self) -> Vec<Bot>;
    pub fn get_bot(&self, id: &BotId) -> Option<Bot>;
    pub fn client(&self) -> Box<dyn BotClient>;
}

// Usage
let mut context = BotContext::from(client);
spawn(async move {
    if let Err(errors) = context.load().await.into_result() {
        // handle errors
    }
    Cx::post_action(BotsLoaded);
});

Protocol Types

Message Structure

pub struct Message {
    pub from: EntityId,         // User, System, Bot(BotId), App
    pub metadata: MessageMetadata,
    pub content: MessageContent,
}

pub struct MessageContent {
    pub text: String,           // Main content (markdown)
    pub reasoning: String,      // AI reasoning/thinking
    pub citations: Vec<String>, // Source URLs
    pub attachments: Vec<Attachment>,
    pub tool_calls: Vec<ToolCall>,
    pub tool_results: Vec<ToolResult>,
}

pub struct MessageMetadata {
    pub is_writing: bool,       // Still being streamed
    pub created_at: DateTime<Utc>,
}

Bot Identification

/// Globally unique bot ID: <len>;<id>@<provider>
pub struct BotId(Arc<str>);

impl BotId {
    pub fn new(id: &str, provider: &str) -> Self;
    pub fn id(&self) -> &str;       // provider-local id
    pub fn provider(&self) -> &str; // provider domain
}

// Example: BotId::new("gpt-4", "api.openai.com")
// -> "5;[email protected]"

Widget Patterns

Slot Widget - Runtime Content Replacement

live_design! {
    pub Slot = {{Slot}} {
        width: Fill, height: Fit,
        slot = <View> {}  // default content
    }
}

// Usage - replace content at runtime
let mut slot = widget.slot(id!(content));
if let Some(custom) = client.content_widget(cx, ...) {
    slot.replace(custom);
} else {
    slot.restore();  // back to default
    slot.default().as_standard_message_content().set_content(cx, &content);
}

Avatar Widget - Text/Image Toggle

live_design! {
    pub Avatar = {{Avatar}} <View> {
        grapheme = <RoundedView> {
            visible: false,
            label = <Label> { text: "P" }
        }
        dependency = <RoundedView> {
            visible: false,
            image = <Image> {}
        }
    }
}

impl Widget for Avatar {
    fn draw_walk(&mut self, cx: &mut Cx2d, ...) -> DrawStep {
        if let Some(avatar) = &self.avatar {
            match avatar {
                Picture::Grapheme(g) => {
                    self.view(id!(grapheme)).set_visible(cx, true);
                    self.view(id!(dependency)).set_visible(cx, false);
                    self.label(id!(label)).set_text(cx, &g);
                }
                Picture::Dependency(d) => {
                    self.view(id!(dependency)).set_visible(cx, true);
                    self.view(id!(grapheme)).set_visible(cx, false);
                    self.image(id!(image)).load_image_dep_by_path(cx, d.as_str());
                }
            }
        }
        self.deref.draw_walk(cx, scope, walk)
    }
}

PromptInput Widget

#[derive(Live, Widget)]
pub struct PromptInput {
    #[deref] deref: CommandTextInput,
    #[live] pub send_icon: LiveValue,
    #[live] pub stop_icon: LiveValue,
    #[rust] pub task: Task,           // Send or Stop
    #[rust] pub interactivity: Interactivity,
}

impl PromptInput {
    pub fn submitted(&self, actions: &Actions) -> bool;
    pub fn reset(&mut self, cx: &mut Cx);
    pub fn set_send(&mut self);
    pub fn set_stop(&mut self);
    pub fn enable(&mut self);
    pub fn disable(&mut self);
}

Messages Widget - Conversation View

#[derive(Live, Widget)]
pub struct Messages {
    #[deref] deref: View,
    #[rust] pub messages: Vec<Message>,
    #[rust] pub bot_context: Option<BotContext>,
}

impl Messages {
    pub fn set_messages(&mut self, messages: Vec<Message>, scroll_to_bottom: bool);
    pub fn scroll_to_bottom(&mut self, cx: &mut Cx, triggered_by_stream: bool);
    pub fn is_at_bottom(&self) -> bool;
}

UiRunner Pattern for Async-to-UI

impl Widget for PromptInput {
    fn handle_event(&mut self, cx: &mut Cx, event: &Event, scope: &mut Scope) {
        self.deref.handle_event(cx, event, scope);
        self.ui_runner().handle(cx, event, scope, self);

        if self.button(id!(attach)).clicked(event.actions()) {
            let ui = self.ui_runner();
            Attachment::pick_multiple(move |result| match result {
                Ok(attachments) => {
                    ui.defer_with_redraw(move |me, cx, _| {
                        me.attachment_list_ref().write().attachments.extend(attachments);
                    });
                }
                Err(_) => {}
            });
        }
    }
}

SSE Streaming

/// Parse SSE byte stream into message stream
pub fn parse_sse<S, B, E>(s: S) -> impl Stream<Item = Result<String, E>>
where
    S: Stream<Item = Result<B, E>>,
    B: AsRef<[u8]>,
{
    // Split on "\n\n", extract "data:" content
    // Filter comments and [DONE] messages
}

// Usage in BotClient::send
fn send(&mut self, ...) -> BoxPlatformSendStream<...> {
    let stream = stream! {
        let response = client.post(url).send().await?;
        let events = parse_sse(response.bytes_stream());

        for await event in events {
            let completion: Completion = serde_json::from_str(&event)?;
            content.text.push_str(&completion.delta.content);
            yield ClientResult::new_ok(content.clone());
        }
    };
    Box::pin(stream)
}

Best Practices

  1. Use PlatformSend for cross-platform: Same code works on native and WASM
  2. Use spawn() not tokio::spawn: Platform-agnostic task spawning
  3. Use AbortOnDropHandle: Cancel tasks when widget drops
  4. Use ThreadToken for non-Send on WASM: Thread-local storage with token access
  5. Use Slot for custom content: Allow BotClient to provide custom widgets
  6. Use read()/write() pattern: Safe borrow access via WidgetRef
  7. Use UiRunner::defer_with_redraw:

Content truncated.

How it compares

MolyKit offers platform-agnostic async operations and ready-to-use chat widgets, simplifying AI chat application development compared to manual implementation.

Compared to similar skills

molykit side by side with the closest alternatives in the catalog.

SkillInstallsUpdatedSafetyDifficulty
molykit (this skill)03moNo flagsIntermediate
tauri761moReviewAdvanced
rust-errors51moNo flagsAdvanced
hula-skill37moReviewIntermediate

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