Skip to content
Back to skills

Composable Svelte Chat

ASecurity

Streaming chat and collaborative features for Composable Svelte. Use when implementing LLM chat interfaces, real-time messaging, or collaborative features. Covers StreamingChat (transport-agnostic), presence tracking, typing indicators, and WebSocket integration from @composable-svelte/chat package.

  • 666 stars
  • 0 votes
  • 0 copies
  • 3 views
  • Added February 8, 2026
developmenttypescriptgoreacttestingapibackend

Works with

  • cursor
  • api

Security analysis

A100/100

Scanned February 12, 2026

npx -y skills add majiayu000/claude-skill-registry --skill composable-svelte-chat --agent claude-code

Installs into .claude/skills of the current project.

Are you the author of Composable Svelte Chat?

Add the live security badge to your README. It updates with every re-scan.

Security grade badge for Composable Svelte Chat
[![Security: A — Skills Directory](https://www.skillsdirectory.com/api/skills/majiayu000-composable-svelte-chat/badge)](https://www.skillsdirectory.com/skills/majiayu000-composable-svelte-chat)

More formats (shields.io, HTML) on the badges page. Keep it an A: scan every change in CI with Pro.

Download with Pro
SKILL.md
---
name: composable-svelte-chat
description: Streaming chat and collaborative features for Composable Svelte. Use when implementing LLM chat interfaces, real-time messaging, or collaborative features. Covers StreamingChat (transport-agnostic), presence tracking, typing indicators, and WebSocket integration from @composable-svelte/chat package.
---

# Composable Svelte Chat Package

Streaming chat with collaborative features for LLM interactions and real-time messaging.

---

## PACKAGE OVERVIEW

**Package**: `@composable-svelte/chat`

**Purpose**: Transport-agnostic streaming chat designed for LLM interactions with collaborative features.

**Technology Stack**:
- **Markdown**: Rendering with syntax highlighting (Prism.js)
- **WebSocket**: Real-time communication and presence
- **MediaRecorder**: Optional voice input integration
- **PDF.js**: PDF attachment preview

**Core Components**:
- `StreamingChat` - Transport-agnostic streaming chat
- `Collaborative Features` - Presence, typing, cursors
- `WebSocket Manager` - Connection management

**State Management**:
All components follow Composable Architecture patterns with dedicated reducers and type-safe actions.

---

## STREAMING CHAT

**Purpose**: Transport-agnostic streaming chat for LLM interactions (OpenAI, Anthropic, Ollama, etc.).

### Quick Start

```typescript
import { createStore } from '@composable-svelte/core';
import {
  StandardStreamingChat,
  streamingChatReducer,
  createInitialStreamingChatState
} from '@composable-svelte/chat';

// Create chat store
const chatStore = createStore({
  initialState: createInitialStreamingChatState(),
  reducer: streamingChatReducer,
  dependencies: {
    sendMessage: async function*(message, signal) {
      // Send to your LLM API (OpenAI, Anthropic, Ollama, etc.)
      const response = await fetch('/api/chat', {
        method: 'POST',
        headers: { 'Content-Type': 'application/json' },
        body: JSON.stringify({ message }),
        signal
      });

      const reader = response.body!.getReader();
      const decoder = new TextDecoder();

      while (true) {
        const { done, value } = await reader.read();
        if (done) break;

        const chunk = decoder.decode(value);
        const lines = chunk.split('\n').filter(Boolean);

        for (const line of lines) {
          if (line.startsWith('data: ')) {
            const data = JSON.parse(line.slice(6));
            if (data.content) {
              yield data.content;
            }
          }
        }
      }
    }
  }
});

<StandardStreamingChat {chatStore} />
```

### Component Variants

**MinimalStreamingChat**:
- Message list + input
- No toolbar, no status indicators
- Best for embedded chat

**StandardStreamingChat** (recommended):
- Message list + input
- Toolbar with clear history
- Streaming status indicator
- Best for most use cases

**FullStreamingChat**:
- Standard features
- Message reactions
- Attachments (images, PDFs, audio)
- Voice input
- Copy/edit/delete messages
- Best for feature-rich chat apps

**StreamingChat** (legacy):
- Original component
- Use one of the variants above instead

### Props

All variants accept:
- `chatStore: Store<StreamingChatState, StreamingChatAction>` - Chat store (required)

**FullStreamingChat** additional props:
- `showReactions: boolean` - Enable reactions (default: true)
- `showAttachments: boolean` - Enable attachments (default: true)
- `showVoiceInput: boolean` - Enable voice input (default: true)

### State Interface

```typescript
interface StreamingChatState {
  // Messages
  messages: Message[];
  streamingMessage: string | null;    // Current streaming content
  isStreaming: boolean;

  // Input
  inputValue: string;
  inputDisabled: boolean;

  // Attachments
  attachments: MessageAttachment[];
  isUploadingAttachment: boolean;

  // UI State
  isLoading: boolean;
  error: string | null;

  // Voice (if enabled)
  isRecordingVoice: boolean;
  voiceTranscript: string | null;
}

interface Message {
  id: string;
  role: 'user' | 'assistant' | 'system';
  content: string;
  timestamp: number;
  attachments?: MessageAttachment[];
  reactions?: MessageReaction[];
  isEdited?: boolean;
  isDeleted?: boolean;
}

interface MessageAttachment {
  id: string;
  type: 'image' | 'pdf' | 'audio' | 'file';
  url: string;
  name: string;
  size: number;
  metadata?: AttachmentMetadata;
}
```

### Actions

```typescript
type StreamingChatAction =
  // Messaging
  | { type: 'sendMessage'; content: string; attachments?: MessageAttachment[] }
  | { type: 'streamingStarted' }
  | { type: 'streamingChunk'; chunk: string }
  | { type: 'streamingCompleted' }
  | { type: 'streamingError'; error: string }
  | { type: 'cancelStreaming' }

  // Input
  | { type: 'inputChanged'; value: string }
  | { type: 'clearInput' }

  // Messages
  | { type: 'editMessage'; messageId: string; newContent: string }
  | { type: 'deleteMessage'; messageId: string }
  | { type: 'clearHistory' }

  // Reactions
  | { type: 'addReaction'; messageId: string; emoji: string }
  | { type: 'removeReaction'; messageId: string; reactionId: string }

  // Attachments
  | { type: 'addAttachment'; attachment: MessageAttachment }
  | { type: 'removeAttachment'; attachmentId: string }
  | { type: 'uploadAttachment'; file: File }

  // Voice
  | { type: 'startVoiceRecording' }
  | { type: 'stopVoiceRecording' }
  | { type: 'voiceTranscriptionCompleted'; transcript: string };
```

### Dependencies

```typescript
interface StreamingChatDependencies {
  // Message handler (required)
  sendMessage: (
    content: string,
    attachments: MessageAttachment[],
    signal: AbortSignal
  ) => AsyncGenerator<string, void, unknown>;

  // File upload (optional)
  uploadFile?: (file: File) => Promise<MessageAttachment>;

  // Voice transcription (optional)
  transcribeVoice?: (audioBlob: Blob) => Promise<string>;
}
```

### Complete Example

```typescript
<script lang="ts">
import { createStore, Effect } from '@composable-svelte/core';
import {
  FullStreamingChat,
  streamingChatReducer,
  createInitialStreamingChatState,
  type MessageAttachment
} from '@composable-svelte/chat';

// Create chat store with all features
const chatStore = createStore({
  initialState: createInitialStreamingChatState(),
  reducer: streamingChatReducer,
  dependencies: {
    // Stream from OpenAI
    sendMessage: async function*(content, attachments, signal) {
      const response = await fetch('https://api.openai.com/v1/chat/completions', {
        method: 'POST',
        headers: {
          'Content-Type': 'application/json',
          'Authorization': `Bearer ${OPENAI_API_KEY}`
        },
        body: JSON.stringify({
          model: 'gpt-4',
          messages: [
            { role: 'user', content }
          ],
          stream: true
        }),
        signal
      });

      const reader = response.body!.getReader();
      const decoder = new TextDecoder();

      while (true) {
        const { done, value } = await reader.read();
        if (done) break;

        const chunk = decoder.decode(value);
        const lines = chunk.split('\n').filter(line => line.trim().startsWith('data:'));

        for (const line of lines) {
          const data = line.replace('data: ', '');
          if (data === '[DONE]') break;

          try {
            const parsed = JSON.parse(data);
            const content = parsed.choices[0]?.delta?.content;
            if (content) {
              yield content;
            }
          } catch (e) {
            // Skip invalid JSON
          }
        }
      }
    },

    // Upload files to your storage
    uploadFile: async (file: File) => {
      const formData = new FormData();
      formData.append('file', file);

      const response = await fetch('/api/upload', {
        method: 'POST',
        body: formData
      });

      const { url, id } = await response.json();

      return {
        id,
        type: file.type.startsWith('image/') ? 'image' : 'file',
        url,
        name: file.name,
        size: file.size
      };
    },

    // Transcribe voice using Whisper
    transcribeVoice: async (audioBlob: Blob) => {
      const formData = new FormData();
      formData.append('file', audioBlob, 'recording.webm');
      formData.append('model', 'whisper-1');

      const response = await fetch('https://api.openai.com/v1/audio/transcriptions', {
        method: 'POST',
        headers: {
          'Authorization': `Bearer ${OPENAI_API_KEY}`
        },
        body: formData
      });

      const { text } = await response.json();
      return text;
    }
  }
});
</script>

<div class="chat-container">
  <FullStreamingChat
    {chatStore}
    showReactions={true}
    showAttachments={true}
    showVoiceInput={true}
  />

  <!-- Error display -->
  {#if $chatStore.error}
    <div class="error-toast">{$chatStore.error}</div>
  {/if}
</div>
```

---

## COLLABORATIVE FEATURES

**Purpose**: Real-time presence tracking, typing indicators, and live cursors for multi-user chat.

### Quick Start

```typescript
import { createStore } from '@composable-svelte/core';
import {
  StandardStreamingChat,
  collaborativeReducer,
  createInitialCollaborativeState,
  PresenceAvatarStack,
  TypingIndicator
} from '@composable-svelte/chat';

// Create collaborative chat store
const chatStore = createStore({
  initialState: createInitialCollaborativeState(),
  reducer: collaborativeReducer,
  dependencies: {
    sendMessage: /* ... */,
    connectWebSocket: (conversationId, userId, onMessage, onConnectionChange) => {
      const ws = new WebSocket(`wss://api.example.com/chat/${conversationId}`);

      ws.onopen = () => {
        onConnectionChange({ status: 'connected', connectedAt: Date.now() });
        ws.send(JSON.stringify({ type: 'join', userId }));
      };

      ws.onmessage = (event) => {
        const message = JSON.parse(event.data);
        onMessage(message);
      };

      ws.onclose = () => {
        onConnectionChange({ status: 'disconnected' });
      };

      return () => ws.close();
    },
    sendWebSocketMessage: async (message) => {
      ws.send(JSON.stringify(message));
    }
  }
});

// Connect to conversation
chatStore.dispatch({
  type: 'connectToConversation',
  conversationId: 'chat-123',
  userId: 'user-456'
});
```

### Collaborative State

```typescript
interface CollaborativeStreamingChatState extends StreamingChatState {
  // Connection
  connection: WebSocketConnectionState;
  conversationId: string | null;
  currentUserId: string | null;

  // Users
  users: Map<string, CollaborativeUser>;

  // Sync
  pendingActions: PendingAction[];
  syncState: SyncState;
}

interface CollaborativeUser {
  id: string;
  name: string;
  avatar?: string;
  color: string;
  presence: 'active' | 'idle' | 'away' | 'offline';
  typing: TypingInfo | null;
  cursor: CursorPosition | null;
  permissions: UserPermissions;
  lastSeen: number;
  lastHeartbeat: number;
}
```

### Presence Components

**PresenceBadge**:
```typescript
<PresenceBadge presence="active" showText={true} />
```

**PresenceAvatarStack**:
```typescript
import { PresenceAvatarStack, getActiveUsers } from '@composable-svelte/chat';

const activeUsers = $derived(getActiveUsers($chatStore.users, currentUserId));

<PresenceAvatarStack users={activeUsers} maxVisible={5} />
```

**PresenceList**:
```typescript
<PresenceList users={activeUsers} groupByPresence={true} />
```

### Typing Indicators

**TypingIndicator**:
```typescript
import { TypingIndicator, getTypingUsers } from '@composable-svelte/chat';

const typingUsers = $derived(
  getTypingUsers($chatStore.users, currentUserId, 'message')
);

<TypingIndicator users={typingUsers} />
```

**TypingUsersList**:
```typescript
<TypingUsersList users={typingUsers} />
```

### Cursor Tracking

**CursorMarker**:
```typescript
<CursorMarker
  user={user}
  position={user.cursor}
/>
```

**CursorOverlay**:
```typescript
import { CursorOverlay, getCursorPositions } from '@composable-svelte/chat';

const cursorPositions = $derived(
  getCursorPositions($chatStore.users, currentUserId)
);

<CursorOverlay cursors={cursorPositions} />
```

### Collaborative Actions

```typescript
type CollaborativeAction =
  // Connection
  | { type: 'connectToConversation'; conversationId: string; userId: string }
  | { type: 'disconnectFromConversation' }
  | { type: 'connectionStateChanged'; state: WebSocketConnectionState }

  // Users
  | { type: 'userJoined'; user: CollaborativeUser }
  | { type: 'userLeft'; userId: string }
  | { type: 'userPresenceChanged'; userId: string; presence: UserPresence }

  // Typing
  | { type: 'userStartedTyping'; userId: string; info: TypingInfo }
  | { type: 'userStoppedTyping'; userId: string }

  // Cursors
  | { type: 'userCursorMoved'; userId: string; position: CursorPosition }

  // Sync
  | { type: 'syncMessage'; messageId: string; action: string }
  | { type: 'syncCompleted'; messageId: string };
```

### Complete Collaborative Example

```typescript
<script lang="ts">
import { createStore } from '@composable-svelte/core';
import {
  StandardStreamingChat,
  collaborativeReducer,
  createInitialCollaborativeState,
  PresenceAvatarStack,
  TypingIndicator,
  getActiveUsers,
  getTypingUsers,
  type CollaborativeUser
} from '@composable-svelte/chat';

const currentUserId = 'user-123';

// Create WebSocket connection
let ws: WebSocket;

const chatStore = createStore({
  initialState: createInitialCollaborativeState(),
  reducer: collaborativeReducer,
  dependencies: {
    sendMessage: /* ... */,

    connectWebSocket: (conversationId, userId, onMessage, onConnectionChange) => {
      ws = new WebSocket(`wss://api.example.com/chat/${conversationId}`);

      ws.onopen = () => {
        onConnectionChange({ status: 'connected', connectedAt: Date.now() });
        ws.send(JSON.stringify({
          type: 'join',
          userId,
          user: {
            id: userId,
            name: 'Current User',
            color: '#3b82f6'
          }
        }));
      };

      ws.onmessage = (event) => {
        const message = JSON.parse(event.data);
        onMessage(message);
      };

      ws.onerror = () => {
        onConnectionChange({ status: 'error', error: 'Connection failed' });
      };

      ws.onclose = () => {
        onConnectionChange({ status: 'disconnected' });
      };

      return () => {
        ws.close();
      };
    },

    sendWebSocketMessage: async (message) => {
      if (ws?.readyState === WebSocket.OPEN) {
        ws.send(JSON.stringify(message));
      }
    }
  }
});

// Connect on mount
$effect(() => {
  chatStore.dispatch({
    type: 'connectToConversation',
    conversationId: 'chat-room-123',
    userId: currentUserId
  });

  return () => {
    chatStore.dispatch({ type: 'disconnectFromConversation' });
  };
});

// Emit typing events
let typingTimeout: ReturnType<typeof setTimeout>;
function handleInputChange(value: string) {
  chatStore.dispatch({ type: 'inputChanged', value });

  // Emit typing started
  chatStore.dispatch({
    type: 'userStartedTyping',
    userId: currentUserId,
    info: {
      target: 'message',
      startedAt: Date.now(),
      lastUpdate: Date.now()
    }
  });

  // Clear previous timeout
  clearTimeout(typingTimeout);

  // Stop typing after 2 seconds of inactivity
  typingTimeout = setTimeout(() => {
    chatStore.dispatch({ type: 'userStoppedTyping', userId: currentUserId });
  }, 2000);
}

// Derived state
const activeUsers = $derived(getActiveUsers($chatStore.users, currentUserId));
const typingUsers = $derived(getTypingUsers($chatStore.users, currentUserId, 'message'));
</script>

<div class="collaborative-chat">
  <!-- Presence indicators -->
  <div class="chat-header">
    <h2>Team Chat</h2>
    <PresenceAvatarStack users={activeUsers} maxVisible={5} />
  </div>

  <!-- Chat interface -->
  <StandardStreamingChat {chatStore} />

  <!-- Typing indicator -->
  {#if typingUsers.length > 0}
    <TypingIndicator users={typingUsers} />
  {/if}

  <!-- Connection status -->
  <div class="connection-status">
    {$chatStore.connection.status}
    {#if $chatStore.connection.status === 'connected'}
      <span class="indicator active"></span>
    {:else}
      <span class="indicator inactive"></span>
    {/if}
  </div>
</div>
```

---

## WEBSOCKET MANAGER

**Purpose**: Low-level WebSocket management for custom implementations.

### API

```typescript
import {
  WebSocketManager,
  createWebSocketManager,
  type WebSocketConfig
} from '@composable-svelte/chat';

const config: WebSocketConfig = {
  url: 'wss://api.example.com/chat',
  reconnect: true,
  reconnectInterval: 1000,
  maxReconnectAttempts: 10,
  heartbeatInterval: 30000
};

const manager = createWebSocketManager(config);

// Connect
manager.connect();

// Send message
manager.send({ type: 'message', content: 'Hello' });

// Listen for messages
manager.onMessage((message) => {
  console.log('Received:', message);
});

// Listen for connection changes
manager.onConnectionChange((state) => {
  console.log('Connection:', state.status);
});

// Disconnect
manager.disconnect();
```

---

## MOCK UTILITIES

**Purpose**: Testing and development without backend.

```typescript
import { createMockStreamingChat } from '@composable-svelte/chat';

const chatStore = createStore({
  initialState: createInitialStreamingChatState(),
  reducer: streamingChatReducer,
  dependencies: createMockStreamingChat({
    responseDelay: 50,      // Delay between chunks (ms)
    mockResponses: [
      'This is a mock response.',
      'It simulates streaming behavior.'
    ]
  })
});
```

---

## COMPONENT SELECTION GUIDE

**When to use each variant**:

**MinimalStreamingChat**:
- Embedded chat
- Minimal UI needed
- Custom chrome/header

**StandardStreamingChat** (recommended):
- Most use cases
- Balanced features
- Good defaults

**FullStreamingChat**:
- Feature-rich chat app
- Need reactions
- Need attachments
- Need voice input

**Collaborative Features**:
- Multi-user chat
- Team collaboration
- Need presence/typing
- Real-time sync required

---

## CROSS-REFERENCES

**Related Skills**:
- **composable-svelte-core**: Store, reducer, Effect system
- **composable-svelte-media**: VoiceInput (can integrate with chat)
- **composable-svelte-code**: Syntax highlighting in messages
- **composable-svelte-components**: UI components

**When to Use Each Package**:
- **chat**: Real-time chat, streaming responses, LLM interfaces
- **media**: Audio players, video embeds, standalone voice input
- **code**: Code editors, syntax highlighting
- **core**: Base architecture (Store, reducer, effects)

---

## TESTING PATTERNS

### StreamingChat Testing

```typescript
import { TestStore } from '@composable-svelte/core';
import {
  streamingChatReducer,
  createInitialStreamingChatState,
  createMockStreamingChat
} from '@composable-svelte/chat';

const store = new TestStore({
  initialState: createInitialStreamingChatState(),
  reducer: streamingChatReducer,
  dependencies: createMockStreamingChat()
});

// Test message send
await store.send({
  type: 'sendMessage',
  content: 'Hello',
  attachments: []
});

await store.receive({ type: 'streamingStarted' }, (state) => {
  expect(state.isStreaming).toBe(true);
});

await store.receive({ type: 'streamingChunk', chunk: 'Hi' }, (state) => {
  expect(state.streamingMessage).toBe('Hi');
});

await store.receive({ type: 'streamingCompleted' }, (state) => {
  expect(state.isStreaming).toBe(false);
  expect(state.messages.length).toBe(2); // User + assistant
});
```

### Collaborative Testing

```typescript
import { TestStore } from '@composable-svelte/core';
import {
  collaborativeReducer,
  createInitialCollaborativeState
} from '@composable-svelte/chat';

const store = new TestStore({
  initialState: createInitialCollaborativeState(),
  reducer: collaborativeReducer,
  dependencies: {
    sendMessage: async function*() {
      yield 'Test response';
    },
    connectWebSocket: vi.fn(),
    sendWebSocketMessage: vi.fn()
  }
});

// Test user join
await store.send({
  type: 'userJoined',
  user: {
    id: 'user-2',
    name: 'Alice',
    color: '#3b82f6',
    presence: 'active'
  }
}, (state) => {
  expect(state.users.size).toBe(1);
  expect(state.users.get('user-2')?.name).toBe('Alice');
});

// Test typing indicator
await store.send({
  type: 'userStartedTyping',
  userId: 'user-2',
  info: {
    target: 'message',
    startedAt: Date.now(),
    lastUpdate: Date.now()
  }
}, (state) => {
  expect(state.users.get('user-2')?.typing).toBeTruthy();
});
```

---

## TROUBLESHOOTING

**Streaming not working**:
- Check sendMessage generator function returns AsyncGenerator
- Verify yield statements send string chunks
- Ensure signal.aborted is checked for cancellation
- Check network tab for response streaming

**WebSocket connection failing**:
- Verify WebSocket URL (wss:// for HTTPS, ws:// for HTTP)
- Check CORS/authentication headers
- Ensure reconnect logic is enabled
- Check browser console for errors

**Markdown not rendering**:
- Verify message content is valid markdown
- Check syntax highlighting CSS is loaded
- Ensure code blocks use supported languages

**Collaborative features not syncing**:
- Verify WebSocket connection is active
- Check message format matches expected schema
- Ensure user IDs are unique and consistent
- Check heartbeat/presence update intervals

Attribution

Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.

Comments

Loading comments…

Newsletter

Get the weekly list of safe new skills, and the ones we pulled.