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Skill andrmaz/spec-driven-architecture/.agents/skills/threads

Software architecture documentation assistant tool

Install
npx -y skills add andrmaz/spec-driven-architecture --skill threads

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Manages Tambo threads, messages, suggestions, voice input, and image attachments. Use when working with conversations, sending messages, implementing AI suggestions, adding voice input, managing multi-thread UIs, or handling image attachments with useTambo, useTamboThreadInput, useTamboSuggestions, or useTamboVoice.

SKILL.md

9.8 KB, as published. Nobody here has run it

Threads and Input

Manages conversations, suggestions, voice input, and image attachments.

Quick Start

import { useTambo, useTamboThreadInput } from "@tambo-ai/react";

const { thread, messages, isIdle } = useTambo();
const { value, setValue, submit } = useTamboThreadInput();

await submit(); // sends current input value

Thread Management

Access and manage the current thread using useTambo() and useTamboThreadInput():

import {
  useTambo,
  useTamboThreadInput,
  ComponentRenderer,
} from "@tambo-ai/react";

function Chat() {
  const {
    thread, // Current thread state
    messages, // Messages with computed properties
    isIdle, // True when not generating
    isStreaming, // True when streaming response
    isWaiting, // True when waiting for server
    currentThreadId, // Active thread ID
    switchThread, // Switch to different thread
    startNewThread, // Create new thread, returns ID
    cancelRun, // Cancel active generation
  } = useTambo();

  const {
    value, // Current input value
    setValue, // Update input
    submit, // Send message
    isPending, // Submission in progress
    images, // Staged image files
    addImage, // Add single image
    removeImage, // Remove image by ID
  } = useTamboThreadInput();

  const handleSend = async () => {
    await submit();
  };

  return (
    <div>
      {messages.map((msg) => (
        <div key={msg.id}>
          {msg.content.map((block) => {
            switch (block.type) {
              case "text":
                return <p key={block.type}>{block.text}</p>;
              case "component":
                return (
                  <ComponentRenderer
                    key={block.id}
                    content={block}
                    threadId={currentThreadId}
                    messageId={msg.id}
                  />
                );
              case "tool_use":
                return (
                  <div key={block.id}>
                    {block.statusMessage ?? `Running ${block.name}...`}
                  </div>
                );
              default:
                return null;
            }
          })}
        </div>
      ))}
      <input value={value} onChange={(e) => setValue(e.target.value)} />
      <button onClick={handleSend} disabled={!isIdle || isPending}>
        Send
      </button>
    </div>
  );
}

Streaming State

PropertyTypeDescription
isIdlebooleanNot generating
isWaitingbooleanWaiting for server response
isStreamingbooleanActively streaming response

The streamingState object provides additional detail:

const { streamingState } = useTambo();
// streamingState.status: "idle" | "waiting" | "streaming"
// streamingState.runId: current run ID
// streamingState.error: { message, code } if error occurred

Content Block Types

Messages contain an array of content blocks. Handle each type:

TypeDescriptionKey Fields
textPlain texttext
componentAI-generated componentid, name, props
tool_useTool invocationid, name, input
tool_resultTool responsetool_use_id, content
resourceMCP resourceuri, name, text

Submit Options

const { submit } = useTamboThreadInput();

await submit({
  threadId: "specific-thread", // Override target thread
  toolChoice: "auto", // "auto" | "required" | "none" | { name: "toolName" }
  maxTokens: 4096, // Max response tokens
  systemPrompt: "Be helpful", // Override system prompt
});

Fetching a Thread by ID

To fetch a specific thread (e.g., for a detail view), use useTamboThread(threadId):

import { useTamboThread } from "@tambo-ai/react";

function ThreadView({ threadId }: { threadId: string }) {
  const { data: thread, isLoading, isError } = useTamboThread(threadId);

  if (isLoading) return <Skeleton />;
  if (isError) return <div>Failed to load thread</div>;

  return <div>{thread.name}</div>;
}

This is a React Query hook - use it for read-only thread fetching, not for the active conversation.

Thread List

Manage multiple conversations:

import { useTambo, useTamboThreadList } from "@tambo-ai/react";

function ThreadSidebar() {
  const { data, isLoading } = useTamboThreadList();
  const { currentThreadId, switchThread, startNewThread } = useTambo();

  if (isLoading) return <Skeleton />;

  return (
    <div>
      <button onClick={() => startNewThread()}>New Thread</button>
      <ul>
        {data?.threads.map((t) => (
          <li key={t.id}>
            <button
              onClick={() => switchThread(t.id)}
              className={currentThreadId === t.id ? "active" : ""}
            >
              {t.name || "Untitled"}
            </button>
          </li>
        ))}
      </ul>
    </div>
  );
}

Thread List Options

const { data } = useTamboThreadList({
  userKey: "user_123", // Filter by user (defaults to provider's userKey)
  limit: 20, // Max results
  cursor: nextCursor, // Pagination cursor
});

// data.threads: TamboThread[]
// data.hasMore: boolean
// data.nextCursor: string

Suggestions

AI-generated follow-up suggestions after each assistant message:

import { useTamboSuggestions } from "@tambo-ai/react";

function Suggestions() {
  const { suggestions, isLoading, accept, isAccepting } = useTamboSuggestions({
    maxSuggestions: 3, // 1-10, default 3
    autoGenerate: true, // Auto-generate after assistant message
  });

  if (isLoading) return <Skeleton />;

  return (
    <div className="suggestions">
      {suggestions.map((s) => (
        <button
          key={s.id}
          onClick={() => accept({ suggestion: s })}
          disabled={isAccepting}
        >
          {s.title}
        </button>
      ))}
    </div>
  );
}

Auto-Submit Suggestion

// Accept and immediately submit as a message
accept({ suggestion: s, shouldSubmit: true });

Manual Generation

const { generate, isGenerating } = useTamboSuggestions({
  autoGenerate: false, // Disable auto-generation
});

<button onClick={() => generate()} disabled={isGenerating}>
  Get suggestions
</button>;

Voice Input

Speech-to-text transcription:

import { useTamboVoice } from "@tambo-ai/react";

function VoiceButton() {
  const {
    startRecording,
    stopRecording,
    isRecording,
    isTranscribing,
    transcript,
    transcriptionError,
    mediaAccessError,
  } = useTamboVoice();

  return (
    <div>
      <button onClick={isRecording ? stopRecording : startRecording}>
        {isRecording ? "Stop" : "Record"}
      </button>
      {isTranscribing && <span>Transcribing...</span>}
      {transcript && <p>{transcript}</p>}
      {transcriptionError && <p className="error">{transcriptionError}</p>}
    </div>
  );
}

Voice Hook Returns

PropertyTypeDescription
startRecording() => voidStart recording, reset transcript
stopRecording() => voidStop and start transcription
isRecordingbooleanCurrently recording
isTranscribingbooleanProcessing audio
transcriptstring | nullTranscribed text
transcriptionErrorstring | nullTranscription error
mediaAccessErrorstring | nullMic access error

Image Attachments

Images are managed via useTamboThreadInput():

import { useTamboThreadInput } from "@tambo-ai/react";

function ImageInput() {
  const { images, addImage, addImages, removeImage, clearImages } =
    useTamboThreadInput();

  const handleFiles = async (files: FileList) => {
    await addImages(Array.from(files));
  };

  return (
    <div>
      <input
        type="file"
        accept="image/*"
        multiple
        onChange={(e) => handleFiles(e.target.files!)}
      />
      {images.map((img) => (
        <div key={img.id}>
          <img src={img.dataUrl} alt={img.name} />
          <button onClick={() => removeImage(img.id)}>Remove</button>
        </div>
      ))}
    </div>
  );
}

StagedImage Properties

PropertyTypeDescription
idstringUnique image ID
namestringFile name
dataUrlstringBase64 data URL
fileFileOriginal File object
sizenumberFile size in bytes
typestringMIME type

User Authentication

Enable per-user thread isolation:

import { TamboProvider } from "@tambo-ai/react";

function App() {
  return (
    <TamboProvider
      apiKey={apiKey}
      userKey="user_123" // Simple user identifier
    >
      <Chat />
    </TamboProvider>
  );
}

For OAuth-based auth, use userToken instead:

function App() {
  const userToken = useUserToken(); // From your auth provider

  return (
    <TamboProvider apiKey={apiKey} userToken={userToken}>
      <Chat />
    </TamboProvider>
  );
}

Use userKey for simple user identification or userToken for OAuth JWT tokens. Don't use both.

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.