skilly. Buy ad slot
All skills
Automation / AGENT SKILL

tanstack-pacer

tanstack-skills/tanstack-skills
3.7K installs 33 GitHub stars
0

Control execution timing with framework-independent debouncing, throttling, rate limiting, queuing, and batching.
Framework-agnostic debouncing, throttling, rate limiting, queuing, and batching utilities.

BEFORE YOU INSTALL

Understand the trade-offs.

SECURITY REVIEW

Not yet assessed

Review the original instructions and requested permissions before installing.

No security review is available for this catalog entry yet.

SKILL QUALITY

Not yet assessed

How clearly the skill guides your agent, how complete its workflow is, and how you can check the outcome.

No quality assessment is available for this catalog entry yet.

The full skill.

Original instructions from the publisher’s SKILL.md

## Overview

TanStack Pacer provides a unified, type-safe toolkit for controlling function execution timing. It offers class-based APIs, factory functions, and React hooks for debouncing, throttling, rate limiting, queuing, and batching.

**Core:** `@tanstack/pacer`
**React:** `@tanstack/react-pacer`
**Status:** Beta

## Installation

```bash
npm install @tanstack/pacer
npm install @tanstack/react-pacer  # React hooks
```

## Debouncing

Delays execution until after a period of inactivity.

### Class API

```typescript
import { Debouncer } from '@tanstack/pacer'

const debouncer = new Debouncer(
  (query: string) => fetchSearchResults(query),
  {
    wait: 300,            // ms of inactivity before execution
    leading: false,       // Execute on leading edge (default: false)
    trailing: true,       // Execute on trailing edge (default: true)
    maxWait: 1000,        // Force execution after 1s of continuous calls
    enabled: true,
    onExecute: (result) => console.log(result),
  }
)

debouncer.maybeExecute('search term')
debouncer.cancel()
debouncer.getExecutionCount()
debouncer.setOptions({ wait: 500 }) // Dynamic reconfiguration
```

### Factory Function

```typescript
import { debounce } from '@tanstack/pacer'

const debouncedSearch = debounce(
  (query: string) => fetchResults(query),
  { wait: 300 }
)

debouncedSearch('term')
debouncedSearch.cancel()
```

### React Hooks

```typescript
import {
  useDebouncer,
  useDebouncedCallback,
  useDebouncedState,
  useDebouncedValue,
} from '@tanstack/react-pacer'

// Full debouncer instance
const debouncer = useDebouncer(fn, { wait: 300 })

// Simple debounced function
const debouncedFn = useDebouncedCallback(fn, { wait: 300 })

// Debounced state management
const [debouncedValue, setValue] = useDebouncedState(initialValue, { wait: 300 })

// Debounced reactive value
const debouncedValue = useDebouncedValue(reactiveValue, { wait: 300 })
```

## Throttling

Limits execution to at most once per interval.

### Class API

```typescript
import { Throttler } from '@tanstack/pacer'

const throttler = new Throttler(
  (position: { x: number; y: number }) => updatePosition(position),
  {
    wait: 100,            // Minimum interval between executions
    leading: true,        // Execute immediately on first call (default: true)
    trailing: true,       // Execute after interval with last args (default: true)
    enabled: true,
    onExecute: (result) => console.log(result),
  }
)

throttler.maybeExecute({ x: 100, y: 200 })
throttler.cancel()
```

### React Hooks

```typescript
import {
  useThrottler,
  useThrottledCallback,
  useThrottledState,
  useThrottledValue,
} from '@tanstack/react-pacer'

const throttledFn = useThrottledCallback(handleScroll, { wait: 100 })
const [throttledPos, setPos] = useThrottledState({ x: 0, y: 0 }, { wait: 100 })
```

## Rate Limiting

Controls execution with a maximum count within a time window.

### Class API

```typescript
import { RateLimiter } from '@tanstack/pacer'

const limiter = new RateLimiter(
  async (endpoint: string) => fetch(endpoint).then(r => r.json()),
  {
    limit: 10,            // Max executions per window
    window: 60000,        // Time window in ms (60s)
    enabled: true,
    onExecute: (result) => console.log(result),
    onReject: (...args) => console.warn('Rate limited:', args),
  }
)

limiter.maybeExecute('/api/data')  // Rejected if limit exceeded
limiter.getExecutionCount()
limiter.getRejectionCount()
```

### React Hooks

```typescript
import {
  useRateLimiter,
  useRateLimitedCallback,
  useRateLimitedState,
  useRateLimitedValue,
} from '@tanstack/react-pacer'

const rateLimitedFn = useRateLimitedCallback(apiCall, { limit: 5, window: 1000 })
```

## Queuing

Sequential execution with configurable concurrency.

```typescript
import { Queue } from '@tanstack/pacer'

const queue = new Queue({
  concurrency: 1,         // Max concurrent tasks
  started: true,          // Start processing immediately
})

queue.add(() => uploadFile(file1))
queue.add(() => uploadFile(file2))

queue.start()
queue.pause()
queue.clear()
queue.getSize()           // Pending count
queue.getPending()        // Currently executing count
```

## Batching

Groups calls for combined processing.

```typescript
import { Batcher } from '@tanstack/pacer'

const batcher = new Batcher(
  (items: LogEntry[]) => sendBatchToServer(items),
  {
    maxSize: 50,          // Auto-flush at 50 items
    wait: 1000,           // Auto-flush after 1s
  }
)

batcher.add(logEntry)    // Accumulates
batcher.flush()          // Manual flush
batcher.getSize()        // Current batch size
batcher.clear()          // Discard batch
```

## Async Variants

```typescript
import { AsyncDebouncer, asyncDebounce, AsyncThrottler, asyncThrottle } from '@tanstack/pacer'

const asyncDebouncer = new AsyncDebouncer(
  async (query: string) => {
    const response = await fetch(`/api/search?q=${query}`)
    return response.json()
  },
  { wait: 300 }
)

// React async hooks
import { useAsyncDebouncer, useAsyncThrottler } from '@tanstack/react-pacer'
```

## Choosing the Right Utility

| Scenario | Utility | Why |
|----------|---------|-----|
| Search input | Debouncer | Wait for user to stop typing |
| Scroll events | Throttler | Periodic updates during activity |
| API protection | RateLimiter | Hard limit on call frequency |
| File uploads | Queue | Sequential processing |
| Analytics events | Batcher | Group for efficiency |
| Network requests | AsyncDebouncer | Handle abort/retry |

## Leading vs Trailing Edge

- **Leading** (`leading: true`): Execute immediately, suppress until wait expires. Good for button clicks.
- **Trailing** (`trailing: true`): Execute after activity stops. Good for search inputs.
- **Both**: Execute immediately AND after final wait. Good for scroll throttling.

## Best Practices

1. **Use `maxWait` with debouncing** to guarantee execution during continuous activity
2. **Use async variants** for network requests (handle abort/cancellation)
3. **React hooks handle cleanup automatically** - no manual teardown needed
4. **Use `setOptions`** for dynamic reconfiguration (e.g., reducing wait for power users)
5. **Compose utilities** for complex scenarios (rate-limited queue)
6. **Use `onReject`** on RateLimiter to inform users when they're rate limited

## Common Pitfalls

- Using debounce when you need throttle (debounce waits for inactivity, throttle guarantees periodic execution)
- Not using `maxWait` with debounce for long-running continuous events
- Creating new instances on every render (use hooks or module-level)
- Forgetting cleanup in non-React environments (call `cancel()`)