Communitygithub.com

majiayu000/claude-skill-registry

CRITICAL: Use for MolyKit AI chat toolkit. Triggers on: BotClient, OpenAI, SSE streaming, AI chat, molykit, PlatformSend, spawn(), ThreadToken, cross-platform async, Chat widget, Messages, PromptInput, Avatar, LLM

Qu'est-ce que claude-skill-registry ?

claude-skill-registry is a Claude Code agent skill that cRITICAL: Use for MolyKit AI chat toolkit. Triggers on: BotClient, OpenAI, SSE streaming, AI chat, molykit, PlatformSend, spawn(), ThreadToken, cross-platform async, Chat widget, Messages, PromptInput, Avatar, LLM.

Compatible avec✓Claude Code✓Codex CLI~Cursor
npx skills add https://github.com/majiayu000/claude-skill-registry/tree/HEAD/skills/ai-llm/molykit-galacticvraj-vraj-portfolio

Demander à votre IA préférée

Ouvre une nouvelle conversation avec cette compétence d'agent déjà préchargée.

Documentation

MolyKit Skill

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: Update widget from async context
  8. Handle ClientResult partial success: May have value AND errors

Reference Files

  • llms.txt - Complete MolyKit API reference

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

majiayu000/claude-skill-registry

Builds, edit or validate Agent Skill through conversational discovery. Use when the user requests to "Create an Agent", "Optimize an Agent" or "Edit an Agent".

majiayu000/claude-skill-registry

Edit existing BMAD agents while maintaining compliance

majiayu000/claude-skill-registry

Edit existing BMAD agents while maintaining compliance

majiayu000/claude-skill-registry

Edit existing BMAD modules while maintaining coherence

majiayu000/claude-skill-registry

Edit existing BMAD modules while maintaining coherence

majiayu000/claude-skill-registry

Analyzes current state and user query to answer BMad questions or recommend the next workflow or agent. Use when user says what should I do next, what do I do now, or asks a question about BMad

majiayu000/claude-skill-registry

Build AI agents with Google ADK Python (Agent Development Kit). Use for multi-agent systems, workflow agents (sequential/parallel/loop), Vertex AI deployment, tool integration, human-in-the-loop.

majiayu000/claude-skill-registry

Build AI agents with Google ADK Python (Agent Development Kit). Use for multi-agent systems, workflow agents (sequential/parallel/loop), Vertex AI deployment, tool integration, human-in-the-loop.

majiayu000/claude-skill-registry

Portfolio allocation and rebalancing optimizer. Manages asset allocation across stocks/cash/bonds, performs periodic rebalancing, and ensures diversification according to market regime and risk tolerance.

majiayu000/claude-skill-registry

Create a hilarious and ultra-realistic video of an anthropomorphic animal acting like a human vlogger in a real-world setting.

majiayu000/claude-skill-registry

Speech-to-text transcription and translation via OpenAI Audio API -- models, response formats, timestamps, prompting, streaming, chunking, and diarization

majiayu000/claude-skill-registry

BlockRun works with Claude Code and Google Antigravity.

majiayu000/claude-skill-registry

This skill should be used when the user asks about libraries, frameworks, API references, or needs code examples. Activates for setup questions, code generation involving libraries, or mentions of specific frameworks like React, Vue, Next.js, Prisma, Supabase, etc.

majiayu000/claude-skill-registry

小省导购员数字人带货版即梦视频提示词生成系统,基于四大智能体协同(提示词生成师、质量管控师、知识库运维师、跨环节适配师),按照"主体+运动+场景+(镜头语言+光影+氛围)"公式输出中英文双版提示词,适配5s短视频。确保人物一致性、视觉连贯性、情绪连贯性,支持知识库智能复用和跨工具适配(Suno音乐、AI绘画),为数字人带货视频提供高质量提示词生成服务。

majiayu000/claude-skill-registry

Upload and manage files using Google Gemini File API via scripts/. Use for uploading images, audio, video, PDFs, and other files for use with Gemini models. Supports file upload, status checking, and file management. Triggers on "upload file", "file API", "upload image", "upload PDF", "upload video", "file management".

majiayu000/claude-skill-registry

AI and machine learning workflow covering LLM application development, RAG implementation, agent architecture, ML pipelines, and AI-powered features.

majiayu000/claude-skill-registry

Analyze images/audio/video with Gemini API (better vision than Claude). Generate images (Imagen 4), videos (Veo 3). Use for vision analysis, transcription, OCR, design extraction, multimodal AI.

majiayu000/claude-skill-registry

Analyze images/audio/video with Gemini API (better vision than Claude). Generate images (Imagen 4), videos (Veo 3). Use for vision analysis, transcription, OCR, design extraction, multimodal AI.

majiayu000/claude-skill-registry

Conduct domain and industry research. Use when the user says "lets create a research report on [domain or industry]

majiayu000/claude-skill-registry

Skill for discovering and researching autonomous AI agents, tools, and ecosystems using the AgentFolio directory.

Skills associés