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
npm install @tanstack/pacer
npm install @tanstack/react-pacer # React hooks
Debouncing
Delays execution until after a period of inactivity.
Class API
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
import { debounce } from '@tanstack/pacer'
const debouncedSearch = debounce(
(query: string) => fetchResults(query),
{ wait: 300 }
)
debouncedSearch('term')
debouncedSearch.cancel()
React Hooks
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
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
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
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
import {
useRateLimiter,
useRateLimitedCallback,
useRateLimitedState,
useRateLimitedValue,
} from '@tanstack/react-pacer'
const rateLimitedFn = useRateLimitedCallback(apiCall, { limit: 5, window: 1000 })
Queuing
Sequential execution with configurable concurrency.
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.
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
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
- **Use
maxWaitwith debouncing** to guarantee execution during continuous activity
- Use async variants for network requests (handle abort/cancellation)
- React hooks handle cleanup automatically - no manual teardown needed
- **Use
setOptions** for dynamic reconfiguration (e.g., reducing wait for power users)
- Compose utilities for complex scenarios (rate-limited queue)
- **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
maxWaitwith 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())