component-rendering
npx machina-cli add skill andrmaz/spec-driven-architecture/component-rendering --openclawComponent Rendering
Handles streaming props and persistent component state.
Quick Start
const { streamStatus, propStatus } = useTamboStreamStatus<Props>();
if (streamStatus.isPending) return <Skeleton />;
if (streamStatus.isStreaming) return <LoadingIndicator />;
Stream Status
Track overall and per-prop streaming status:
import { useTamboStreamStatus } from "@tambo-ai/react";
function MyComponent({ title, items }: Props) {
const { streamStatus, propStatus } = useTamboStreamStatus<Props>();
// Global status
if (streamStatus.isPending) return <Skeleton />;
if (streamStatus.isStreaming) return <LoadingIndicator />;
if (streamStatus.isError) return <Error message={streamStatus.streamError} />;
// Per-prop status
return (
<h2 className={propStatus.title?.isStreaming ? "animate-pulse" : ""}>
{title}
</h2>
);
}
StreamStatus Properties
| Property | Description |
|---|---|
isPending | No tokens received yet |
isStreaming | Active streaming in progress |
isSuccess | All props finished without error |
isError | Fatal error occurred |
streamError | Error object if failed |
PropStatus (per-prop)
| Property | Description |
|---|---|
isPending | No tokens for this prop yet |
isStreaming | Prop has partial content |
isSuccess | Prop finished streaming |
error | Error for this prop (if any) |
Component State
Make state visible to AI and persist across sessions:
import { useTamboComponentState, useTamboStreamStatus } from "@tambo-ai/react";
function EditableCard({ title: streamedTitle }: { title?: string }) {
const [title, setTitle, { isPending, flush }] = useTamboComponentState(
"title",
"",
);
const { streamStatus } = useTamboStreamStatus();
return (
<input
value={title}
onChange={(e) => setTitle(e.target.value)}
disabled={streamStatus.isStreaming || isPending}
/>
);
}
useTamboComponentState API
const [value, setValue, meta] = useTamboComponentState(
key, // Unique state key within the component
initialValue, // Initial value if no server state
debounceTime, // Debounce ms (default: 500)
);
| Return | Description |
|---|---|
value | Current state value |
setValue | Update state (supports updater functions) |
meta.isPending | Server sync in progress |
meta.error | Sync error (if any) |
meta.flush | Immediately flush pending debounced updates |
setValue Patterns
// Direct value
setTitle("New title");
// Updater function
setCount((prev) => prev + 1);
When to Use Component State
- User-editable content AI should see
- Form inputs requiring persistence
- State that survives page reloads
- Streaming props that user can modify after generation
Streaming Best Practices
-
Make props optional in Zod schema:
z.object({ title: z.string().optional().describe("Card title"), items: z.array(z.string()).optional(), }); -
Show skeletons for missing data, not errors
-
Use optional chaining:
items?.map(...) -
Disable interactions until
streamStatus.isSuccess
Source
git clone https://github.com/andrmaz/spec-driven-architecture/blob/develop/.agents/skills/component-rendering/SKILL.mdView on GitHub Overview
Component Rendering manages streaming props and persistent component state for Tambo-based UIs. It exposes streamStatus and per-prop propStatus to render skeletons, loading indicators, and styled content while data streams in, and it supports persisting state across sessions with useTamboStreamStatus and useTamboComponentState.
How This Skill Works
Use useTamboStreamStatus to monitor global and per-prop streaming status, allowing conditional UI like Skeleton or LoadingIndicator. Use useTamboComponentState to persist component state across sessions, receiving value, setValue, and meta (including isPending, error, and flush) for debounced updates.
When to Use It
- Building a card with a title and items where data streams progressively
- Tracking per-prop streaming status to apply UI cues (e.g., animated title while streaming)
- Managing partial props during incremental rendering
- Persisting component state across page reloads or sessions
- Creating editable UI that remains in sync while data streams in
Quick Start
- Step 1: Import hooks, e.g. import { useTamboStreamStatus, useTamboComponentState } from '@tambo-ai/react';
- Step 2: Use useTamboStreamStatus to read global and per-prop status and render Skeleton or LoadingIndicator accordingly
- Step 3: Use useTamboComponentState for persistent fields (e.g., title) and wire setValue to inputs
Best Practices
- Make props optional in your schema to tolerate missing tokens during streaming
- Show skeletons for missing data rather than rendering errors
- Use optional chaining (e.g., items?.map(...)) to safely render partial data
- Disable interactions until streamStatus.isSuccess for a consistent UX
- Leverage the meta.flush mechanism to push debounced updates when needed
Example Use Cases
- EditableCard where title updates as the stream provides partial props but remains editable
- Product list widget showing skeletons until title and items arrive, then full rendering
- Form that persists user input across sessions using useTamboComponentState
- Dashboard widget that transitions from skeleton to loading indicator as data streams
- Chat-like feed where messages stream in progressively and UI reflects partial props