Modern signals-based state with Preact Signals for Google Antigravity projects including computed values and effects.
# Signals State Management Patterns for Google Antigravity
Implement modern signals-based state management in your Google Antigravity IDE projects. This comprehensive guide covers signal creation, computed values, effects, and React integration optimized for Gemini 3 agentic development.
## Signal Creation
Create reactive signals:
```typescript
// stores/signals.ts
import { signal, computed, effect, batch } from '@preact/signals-react';
interface Prompt {
id: string;
title: string;
description: string;
tags: string[];
starCount: number;
}
// Primitive signals
export const prompts = signal<Prompt[]>([]);
export const searchQuery = signal('');
export const selectedTag = signal<string | null>(null);
export const isLoading = signal(false);
export const error = signal<string | null>(null);
// Computed signals (automatically update)
export const filteredPrompts = computed(() => {
const search = searchQuery.value.toLowerCase();
const tag = selectedTag.value;
return prompts.value.filter((prompt) => {
const matchesSearch = !search ||
prompt.title.toLowerCase().includes(search) ||
prompt.description.toLowerCase().includes(search);
const matchesTag = !tag || prompt.tags.includes(tag);
return matchesSearch && matchesTag;
});
});
export const promptCount = computed(() => prompts.value.length);
export const starredPrompts = computed(() =>
prompts.value.filter((p) => p.starCount > 0)
);
export const stats = computed(() => ({
total: prompts.value.length,
filtered: filteredPrompts.value.length,
totalStars: prompts.value.reduce((sum, p) => sum + p.starCount, 0),
}));
// Available tags from prompts
export const availableTags = computed(() => {
const tags = new Set<string>();
prompts.value.forEach((p) => p.tags.forEach((t) => tags.add(t)));
return Array.from(tags).sort();
});
```
## Signal Actions
Define actions for mutations:
```typescript
// stores/actions.ts
import { batch } from '@preact/signals-react';
import { prompts, isLoading, error, searchQuery, selectedTag } from './signals';
export async function fetchPrompts() {
isLoading.value = true;
error.value = null;
try {
const response = await fetch('/api/prompts');
if (!response.ok) throw new Error('Failed to fetch');
const data = await response.json();
prompts.value = data.prompts;
} catch (e) {
error.value = e instanceof Error ? e.message : 'Unknown error';
} finally {
isLoading.value = false;
}
}
export function addPrompt(prompt: Prompt) {
prompts.value = [prompt, ...prompts.value];
}
export function updatePrompt(id: string, updates: Partial<Prompt>) {
prompts.value = prompts.value.map((p) =>
p.id === id ? { ...p, ...updates } : p
);
}
export function removePrompt(id: string) {
prompts.value = prompts.value.filter((p) => p.id !== id);
}
// Batch updates for performance
export function resetFilters() {
batch(() => {
searchQuery.value = '';
selectedTag.value = null;
});
}
export async function starPrompt(id: string) {
// Optimistic update
const current = prompts.value.find((p) => p.id === id);
if (!current) return;
updatePrompt(id, { starCount: current.starCount + 1 });
try {
const response = await fetch(`/api/prompts/${id}/star`, {
method: 'POST',
});
if (!response.ok) {
// Revert on failure
updatePrompt(id, { starCount: current.starCount });
}
} catch {
updatePrompt(id, { starCount: current.starCount });
}
}
```
## Effects for Side Effects
Create reactive effects:
```typescript
// stores/effects.ts
import { effect } from '@preact/signals-react';
import { searchQuery, selectedTag, prompts } from './signals';
// Log filter changes
effect(() => {
console.log('Search:', searchQuery.value);
console.log('Tag:', selectedTag.value);
});
// Sync to URL
effect(() => {
const params = new URLSearchParams();
if (searchQuery.value) {
params.set('q', searchQuery.value);
}
if (selectedTag.value) {
params.set('tag', selectedTag.value);
}
const newUrl = params.toString()
? `?${params.toString()}`
: window.location.pathname;
window.history.replaceState(null, '', newUrl);
});
// Persist to localStorage
effect(() => {
localStorage.setItem('cached-prompts', JSON.stringify(prompts.value));
});
// Load from localStorage on init
export function initFromStorage() {
const cached = localStorage.getItem('cached-prompts');
if (cached) {
try {
prompts.value = JSON.parse(cached);
} catch {
// Invalid cache
}
}
}
```
## React Integration
Use signals in React components:
```typescript
// components/PromptList.tsx
'use client';
import { useEffect } from 'react';
import { useSignals } from '@preact/signals-react/runtime';
import {
filteredPrompts,
isLoading,
stats,
searchQuery,
selectedTag,
availableTags,
} from '@/stores/signals';
import { fetchPrompts, starPrompt, resetFilters } from '@/stores/actions';
export function PromptList() {
useSignals(); // Enable signals in this component
useEffect(() => {
fetchPrompts();
}, []);
if (isLoading.value) {
return <LoadingSkeleton />;
}
return (
<div>
<div className="stats">
<span>Showing {stats.value.filtered} of {stats.value.total}</span>
<span>Total stars: {stats.value.totalStars}</span>
</div>
<div className="filters">
<input
type="search"
value={searchQuery.value}
onChange={(e) => (searchQuery.value = e.target.value)}
placeholder="Search..."
/>
<select
value={selectedTag.value || ''}
onChange={(e) => (selectedTag.value = e.target.value || null)}
>
<option value="">All tags</option>
{availableTags.value.map((tag) => (
<option key={tag} value={tag}>{tag}</option>
))}
</select>
<button onClick={resetFilters}>Reset</button>
</div>
<div className="grid">
{filteredPrompts.value.map((prompt) => (
<PromptCard
key={prompt.id}
prompt={prompt}
onStar={() => starPrompt(prompt.id)}
/>
))}
</div>
</div>
);
}
```
## Best Practices
1. **Use computed** for derived values
2. **Batch updates** for multiple changes
3. **Use effects** for side effects only
4. **Keep signals** at module scope
5. **Call useSignals()** in components
6. **Avoid .value in JSX** templates
7. **Use optimistic updates** for better UXThis signals prompt is ideal for developers working on:
By using this prompt, you can save hours of manual coding and ensure best practices are followed from the start. It's particularly valuable for teams looking to maintain consistency across their signals implementations.
Yes! All prompts on Antigravity AI Directory are free to use for both personal and commercial projects. No attribution required, though it's always appreciated.
This prompt works excellently with Claude, ChatGPT, Cursor, GitHub Copilot, and other modern AI coding assistants. For best results, use models with large context windows.
You can modify the prompt by adding specific requirements, constraints, or preferences. For signals projects, consider mentioning your framework version, coding style, and any specific libraries you're using.