java-concurrency
Use when Java concurrency with ExecutorService, CompletableFuture, and virtual threads. Use when building concurrent applications.
What this skill does
# Java Concurrency
Master Java's concurrency utilities including ExecutorService,
CompletableFuture, locks, and modern virtual threads for building
high-performance concurrent applications.
## Thread Basics
Understanding Java threads is fundamental to concurrency.
**Creating and running threads:**
```java
public class ThreadBasics {
public static void main(String[] args) {
// Using Thread class
Thread thread1 = new Thread(() -> {
System.out.println("Running in thread: " +
Thread.currentThread().getName());
});
thread1.start();
// Using Runnable
Runnable task = () -> {
for (int i = 0; i < 5; i++) {
System.out.println("Task iteration: " + i);
}
};
Thread thread2 = new Thread(task);
thread2.start();
// Join threads
try {
thread1.join();
thread2.join();
} catch (InterruptedException e) {
Thread.currentThread().interrupt();
}
}
}
```
## ExecutorService
ExecutorService provides thread pool management and task scheduling.
**Basic executor usage:**
```java
import java.util.concurrent.*;
public class ExecutorBasics {
public static void main(String[] args) {
// Fixed thread pool
ExecutorService executor = Executors.newFixedThreadPool(3);
// Submit tasks
for (int i = 0; i < 5; i++) {
final int taskId = i;
executor.submit(() -> {
System.out.println("Task " + taskId + " on " +
Thread.currentThread().getName());
return taskId * 2;
});
}
// Shutdown executor
executor.shutdown();
try {
if (!executor.awaitTermination(60, TimeUnit.SECONDS)) {
executor.shutdownNow();
}
} catch (InterruptedException e) {
executor.shutdownNow();
Thread.currentThread().interrupt();
}
}
}
```
**Different executor types:**
```java
public class ExecutorTypes {
public static void main(String[] args) {
// Single thread executor
ExecutorService single = Executors.newSingleThreadExecutor();
// Fixed thread pool
ExecutorService fixed = Executors.newFixedThreadPool(4);
// Cached thread pool (creates threads as needed)
ExecutorService cached = Executors.newCachedThreadPool();
// Scheduled executor
ScheduledExecutorService scheduled =
Executors.newScheduledThreadPool(2);
// Schedule task with delay
scheduled.schedule(() -> {
System.out.println("Delayed task");
}, 5, TimeUnit.SECONDS);
// Schedule periodic task
scheduled.scheduleAtFixedRate(() -> {
System.out.println("Periodic task");
}, 0, 1, TimeUnit.SECONDS);
// Work stealing pool (uses available processors)
ExecutorService workStealing =
Executors.newWorkStealingPool();
}
}
```
**Future pattern:**
```java
public class FutureExample {
public static void main(String[] args) throws Exception {
ExecutorService executor = Executors.newFixedThreadPool(2);
// Submit callable
Future<Integer> future = executor.submit(() -> {
Thread.sleep(1000);
return 42;
});
// Do other work
System.out.println("Waiting for result...");
// Get result (blocks until ready)
Integer result = future.get();
System.out.println("Result: " + result);
// With timeout
try {
Integer result2 = future.get(500, TimeUnit.MILLISECONDS);
} catch (TimeoutException e) {
System.out.println("Timed out");
future.cancel(true);
}
// Check status
boolean isDone = future.isDone();
boolean isCancelled = future.isCancelled();
executor.shutdown();
}
}
```
## CompletableFuture
CompletableFuture enables composable asynchronous programming.
**Basic CompletableFuture:**
```java
import java.util.concurrent.CompletableFuture;
public class CompletableFutureBasics {
public static void main(String[] args) {
// Create completed future
CompletableFuture<String> future =
CompletableFuture.completedFuture("Hello");
// Async computation
CompletableFuture<Integer> asyncFuture =
CompletableFuture.supplyAsync(() -> {
sleep(1000);
return 42;
});
// Run async without return value
CompletableFuture<Void> runAsync =
CompletableFuture.runAsync(() -> {
System.out.println("Running async");
});
// Get result (blocking)
try {
Integer result = asyncFuture.get();
System.out.println("Result: " + result);
} catch (Exception e) {
e.printStackTrace();
}
}
private static void sleep(long millis) {
try {
Thread.sleep(millis);
} catch (InterruptedException e) {
Thread.currentThread().interrupt();
}
}
}
```
**Chaining operations:**
```java
public class CompletableFutureChaining {
public static void main(String[] args) {
// thenApply - transform result
CompletableFuture<String> future =
CompletableFuture.supplyAsync(() -> "Hello")
.thenApply(s -> s + " World")
.thenApply(String::toUpperCase);
System.out.println(future.join()); // HELLO WORLD
// thenAccept - consume result
CompletableFuture.supplyAsync(() -> 42)
.thenAccept(result ->
System.out.println("Result: " + result));
// thenRun - run after completion
CompletableFuture.supplyAsync(() -> "Done")
.thenRun(() -> System.out.println("Finished"));
// thenCompose - flatten nested futures
CompletableFuture<String> composed =
CompletableFuture.supplyAsync(() -> "User123")
.thenCompose(userId -> fetchUserDetails(userId));
}
static CompletableFuture<String> fetchUserDetails(String userId) {
return CompletableFuture.supplyAsync(() ->
"Details for " + userId);
}
}
```
**Combining futures:**
```java
public class CombiningFutures {
public static void main(String[] args) {
CompletableFuture<Integer> future1 =
CompletableFuture.supplyAsync(() -> 10);
CompletableFuture<Integer> future2 =
CompletableFuture.supplyAsync(() -> 20);
// Combine two futures
CompletableFuture<Integer> combined = future1.thenCombine(
future2,
(a, b) -> a + b
);
System.out.println(combined.join()); // 30
// Accept both results
future1.thenAcceptBoth(future2, (a, b) ->
System.out.println("Sum: " + (a + b)));
// Run after both complete
future1.runAfterBoth(future2, () ->
System.out.println("Both completed"));
// Either - whichever completes first
CompletableFuture<String> either =
future1.applyToEither(future2, result ->
"First result: " + result);
// All of - wait for all
CompletableFuture<Void> allOf =
CompletableFuture.allOf(future1, future2);
// Any of - wait for any
CompletableFuture<Object> anyOf =
CompletableFuture.anyOf(future1, future2);
}
}
```
**Error handling:**
```java
public class FutureErrorHandling {
public static void main(String[] args) {
// exceptionally - handle error
CompletableFuture<Integer> future1 =
CompletableFuture.supplyAsync(() -> {
if (Math.random() > 0.5) {
throw new RuntimeException("Error!")Related in Backend & APIs
jfrog
IncludedInteract with the JFrog Platform via the JFrog CLI and REST/GraphQL APIs. Use this skill when the user wants to manage Artifactory repositories, upload or download artifacts, manage builds, configure permissions, manage users and groups, work with access tokens, configure JFrog CLI servers, search artifacts, manage properties, set up replication, manage JFrog Projects, run security audits or scans, look up CVE details, query exposures scan results from JFrog Advanced Security, manage release bundles and lifecycle operations, aggregate or export platform data, or perform any JFrog Platform administration task. Also use when the user mentions jf, jfrog, artifactory, xray, distribution, evidence, apptrust, onemodel, graphql, workers, mission control, curation, advanced security, exposures, or any JFrog product name.
cupynumeric-migration-readiness
IncludedPre-migration readiness assessor for porting NumPy to cuPyNumeric. Use BEFORE substantial porting work begins when the user asks whether code will scale on GPU, whether they should migrate to cuPyNumeric, which NumPy patterns transfer cleanly, what must be refactored before porting, or mentions pre-port assessment, scaling analysis, or refactor planning. Inspect the user's source code, look up NumPy usage, cross-reference the cuPyNumeric API support manifest, and distinguish distributed-scaling-friendly patterns from blockers such as unsupported APIs, scalar synchronization, host round-trips, Python/object-heavy control flow, shape/data-dependent branching, and in-place mutation hazards. Produce a verdict of READY, LIGHT REFACTOR, SIGNIFICANT REFACTOR, or NOT RECOMMENDED, with concrete refactor pointers.
alibabacloud-data-agent-skill
IncludedInvoke Alibaba Cloud Apsara Data Agent for Analytics via CLI to perform natural language-driven data analysis on enterprise databases. Data Agent for Analytics is an intelligent data analysis agent developed by Alibaba Cloud Database team for enterprise users. It automatically completes requirement analysis, data understanding, analysis insights, and report generation based on natural language descriptions. This tool supports: discovering data resources (instances/databases/tables) managed in DMS, initiating query or deep analysis sessions, real-time progress tracking, and retrieving analysis conclusions and generated reports. Use this Skill when users need to query databases, analyze data trends, generate data reports, ask questions in natural language, or mention "Data Agent", "data analysis", "database query", "SQL analysis", "data insights".
token-optimizer
IncludedReduce OpenClaw token usage and API costs through smart model routing, heartbeat optimization, budget tracking, and native 2026.2.15 features (session pruning, bootstrap size limits, cache TTL alignment). Use when token costs are high, API rate limits are being hit, or hosting multiple agents at scale. The 4 executable scripts (context_optimizer, model_router, heartbeat_optimizer, token_tracker) are local-only — no network requests, no subprocess calls, no system modifications. Reference files (PROVIDERS.md, config-patches.json) document optional multi-provider strategies that require external API keys and network access if you choose to use them. See SECURITY.md for full breakdown.
resend-cli
IncludedUse this skill when the task is specifically about operating Resend from an AI agent, terminal session, or CI job via the official resend CLI: installing/authenticating the CLI, sending/listing/updating/cancelling emails, batch sends, domains and DNS, webhooks and local listeners, inbound receiving, contacts, topics, segments, broadcasts, templates, API keys, profiles, or debugging Resend CLI/API failures. Trigger on mentions of Resend CLI, `resend`, `resend doctor`, `resend emails send`, `resend domains`, `resend webhooks listen`, `resend emails receiving`, or agent-friendly terminal automation.
alibabacloud-odps-maxframe-coding
IncludedUse this skill for MaxFrame SDK development and documentation navigation on Alibaba Cloud MaxCompute (ODPS). Helps answer MaxFrame API, concept, official example, and supported pandas API questions; create data processing programs; read/write MaxCompute tables; debug jobs (remote or local); and build custom DPE runtime images. Trigger when users mention MaxFrame, MaxCompute with MaxFrame, ODPS table processing, DPE runtime, MaxFrame docs/examples, DataFrame/Tensor operations, or GPU runtime setup. Works for both English and Chinese queries about Alibaba Cloud data processing with MaxFrame.