Official agent skill

Azure Compute Batch Java

by microsoft in microsoft/skills

Azure Batch SDK for Java. An agent skill from microsoft/skills.

OfficialMITAuto-check passedBackend & APIs

Install Azure Compute Batch Java

skills CLI
$ npx skills add microsoft/skills --skill azure-compute-batch-java -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install microsoft/skills azure-compute-batch-java --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/microsoft/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.github/plugins/azure-sdk-java/skills/azure-compute-batch-java .claude/skills/azure-compute-batch-java && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
azure-compute-batch-java
GitHub stars
3.1k
Used in
6 other repos
Token cost
~3k tokens
SKILL.md length
256 words
Files
2 (incl. references)
Skills in repo
150
Repo updated
First seen
Licence
MIT

At a glance

Azure Batch SDK for Java. An agent skill from microsoft/skills.

  • Works in 8 steps: Use Entra ID — Preferred over shared key… → Use management SDK for pools —… → Batch task creation — Use… → …
  • Tasks that involve Background jobs
  • SKILL.md covers Installation, Prerequisites, Environment Variables and Client Creation, plus 4 more sections
  • Reaches learn.microsoft.com; needs AZURE_TOKEN_CREDENTIALS and AZURE_BATCH_ACCESS_KEY

What it does

Azure Compute Batch Java is an agent skill from microsoft/skills, published by the product's own GitHub organization. Azure Batch SDK for Java. Run large-scale parallel and HPC batch jobs with pools, jobs, tasks, and compute nodes. Triggers: "BatchClient java", "azure batch java", "batch pool java", "batch job java", "HPC java", "parallel computing java".

Its SKILL.md is about 3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/examples.md`).

It sits in Backend & APIs, covering Background jobs. It works with Microsoft Azure and Java. The repository describes itself as: Skills, MCP servers, Custom Agents, Agents.md for SDKs to ground Coding Agents. The licence is MIT.

When your agent uses it

  • Tasks that involve Background jobs

Example prompts

  • “BatchClient java”
  • “azure batch java”
  • “batch pool java”
  • “/azure-compute-batch-java”

Requirements

  • A credential in AZURE_BATCH_ACCESS_KEY

Workflow steps

8 steps, taken from the first numbered list in SKILL.md.

  1. Use Entra ID — Preferred over shared key for authentication
  2. Use management SDK for pools — azure-resourcemanager-batch supports managed identities
  3. Batch task creation — Use createTaskCollection or createTasks for multiple tasks
  4. Handle LRO properly — Pool resize, delete operations are long-running
  5. Monitor task counts — Use getJobTaskCounts to track progress
  6. Set constraints — Configure maxWallClockTime and maxTaskRetryCount
  7. Use low-priority nodes — Cost savings for fault-tolerant workloads
  8. Enable autoscale — Dynamically adjust pool size based on workload

What it can do on your machine

Read from SKILL.md and the folder at commit 354361d. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are java, xml and bash).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • learn.microsoft.com

    Also links to:

    • github.com
    • central.sonatype.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • AZURE_TOKEN_CREDENTIALS
    • AZURE_BATCH_ACCESS_KEY

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Azure Compute Batch Java loads about 3k tokens when it runs, and up to ~10k if it reads all its reference files. Until then it costs about 66 tokens; SKILL.md has 256 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~66
When it runs · the whole SKILL.md, loaded when a task matches
~3k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~10k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from microsoft/skills at commit 354361d, republished under its MIT licence (© microsoft). 256 words, ~2,975 tokens.

Download SKILL.mdSave it as .claude/skills/azure-compute-batch-java/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
azure-compute-batch-java
description
Azure Batch SDK for Java. Run large-scale parallel and HPC batch jobs with pools, jobs, tasks, and compute nodes. Triggers: "BatchClient java", "azure batch java", "batch pool java", "batch job java", "HPC java", "parallel computing java".
license
MIT
metadata.author
Microsoft
metadata.version
1.0.0

Azure Batch SDK for Java

Client library for running large-scale parallel and high-performance computing (HPC) batch jobs in Azure.

Installation

xml
<dependency>
    <groupId>com.azure</groupId>
    <artifactId>azure-compute-batch</artifactId>
    <version>1.0.0-beta.5</version>
</dependency>

Prerequisites

  • Azure Batch account
  • Pool configured with compute nodes
  • Azure subscription

Environment Variables

bash
AZURE_BATCH_ENDPOINT=https://<account>.<region>.batch.azure.com  # Required for all auth methods
AZURE_BATCH_ACCOUNT=<account-name>  # Only required for shared key auth
AZURE_BATCH_ACCESS_KEY=<account-key>  # Only required for shared key auth
AZURE_TOKEN_CREDENTIALS=prod  # Required only if DefaultAzureCredential is used in production

Client Creation

java
import com.azure.compute.batch.BatchClient;
import com.azure.compute.batch.BatchClientBuilder;
import com.azure.core.credential.TokenCredential;
import com.azure.identity.AzureIdentityEnvVars;
import com.azure.identity.DefaultAzureCredentialBuilder;
import com.azure.identity.ManagedIdentityCredentialBuilder;

// Local dev: DefaultAzureCredential. Production: set AZURE_TOKEN_CREDENTIALS=prod or AZURE_TOKEN_CREDENTIALS=<specific_credential>
TokenCredential credential = new DefaultAzureCredentialBuilder()
    .requireEnvVars(AzureIdentityEnvVars.AZURE_TOKEN_CREDENTIALS)
    .build();
// Or use a specific credential directly in production:
// See https://learn.microsoft.com/java/api/overview/azure/identity-readme?view=azure-java-stable#credential-classes
// TokenCredential credential = new ManagedIdentityCredentialBuilder().build();

BatchClient batchClient = new BatchClientBuilder()
    .credential(credential)
    .endpoint(System.getenv("AZURE_BATCH_ENDPOINT"))
    .buildClient();
Async Client
java
import com.azure.compute.batch.BatchAsyncClient;

BatchAsyncClient batchAsyncClient = new BatchClientBuilder()
    .credential(credential)
    .endpoint(System.getenv("AZURE_BATCH_ENDPOINT"))
    .buildAsyncClient();
With Shared Key Credentials
java
import com.azure.core.credential.AzureNamedKeyCredential;

String accountName = System.getenv("AZURE_BATCH_ACCOUNT");
String accountKey = System.getenv("AZURE_BATCH_ACCESS_KEY");
AzureNamedKeyCredential sharedKeyCreds = new AzureNamedKeyCredential(accountName, accountKey);

BatchClient batchClient = new BatchClientBuilder()
    .credential(sharedKeyCreds)
    .endpoint(System.getenv("AZURE_BATCH_ENDPOINT"))
    .buildClient();

Key Concepts

ConceptDescription
PoolCollection of compute nodes that run tasks
JobLogical grouping of tasks
TaskUnit of computation (command/script)
NodeVM that executes tasks
Job ScheduleRecurring job creation

Pool Operations

Create Pool
java
import com.azure.compute.batch.models.*;

batchClient.createPool(new BatchPoolCreateParameters("myPoolId", "STANDARD_DC2s_V2")
    .setVirtualMachineConfiguration(
        new VirtualMachineConfiguration(
            new BatchVmImageReference()
                .setPublisher("Canonical")
                .setOffer("UbuntuServer")
                .setSku("22_04-lts")
                .setVersion("latest"),
            "batch.node.ubuntu 22.04"))
    .setTargetDedicatedNodes(2)
    .setTargetLowPriorityNodes(0), null);
Get Pool
java
BatchPool pool = batchClient.getPool("myPoolId");
System.out.println("Pool state: " + pool.getState());
System.out.println("Current dedicated nodes: " + pool.getCurrentDedicatedNodes());
List Pools
java
import com.azure.core.http.rest.PagedIterable;

PagedIterable<BatchPool> pools = batchClient.listPools();
for (BatchPool pool : pools) {
    System.out.println("Pool: " + pool.getId() + ", State: " + pool.getState());
}
Resize Pool
java
import com.azure.core.util.polling.SyncPoller;

BatchPoolResizeParameters resizeParams = new BatchPoolResizeParameters()
    .setTargetDedicatedNodes(4)
    .setTargetLowPriorityNodes(2);

SyncPoller<BatchPool, BatchPool> poller = batchClient.beginResizePool("myPoolId", resizeParams);
poller.waitForCompletion();
BatchPool resizedPool = poller.getFinalResult();
Enable AutoScale
java
BatchPoolEnableAutoScaleParameters autoScaleParams = new BatchPoolEnableAutoScaleParameters()
    .setAutoScaleEvaluationInterval(Duration.ofMinutes(5))
    .setAutoScaleFormula("$TargetDedicatedNodes = min(10, $PendingTasks.GetSample(TimeInterval_Minute * 5));");

batchClient.enablePoolAutoScale("myPoolId", autoScaleParams);
Delete Pool
java
SyncPoller<BatchPool, Void> deletePoller = batchClient.beginDeletePool("myPoolId");
deletePoller.waitForCompletion();

Job Operations

Create Job
java
batchClient.createJob(
    new BatchJobCreateParameters("myJobId", new BatchPoolInfo().setPoolId("myPoolId"))
        .setPriority(100)
        .setConstraints(new BatchJobConstraints()
            .setMaxWallClockTime(Duration.ofHours(24))
            .setMaxTaskRetryCount(3)),
    null);
Get Job
java
BatchJob job = batchClient.getJob("myJobId", null, null);
System.out.println("Job state: " + job.getState());
List Jobs
java
PagedIterable<BatchJob> jobs = batchClient.listJobs(new BatchJobsListOptions());
for (BatchJob job : jobs) {
    System.out.println("Job: " + job.getId() + ", State: " + job.getState());
}
Get Task Counts
java
BatchTaskCountsResult counts = batchClient.getJobTaskCounts("myJobId");
System.out.println("Active: " + counts.getTaskCounts().getActive());
System.out.println("Running: " + counts.getTaskCounts().getRunning());
System.out.println("Completed: " + counts.getTaskCounts().getCompleted());
Terminate Job
java
BatchJobTerminateParameters terminateParams = new BatchJobTerminateParameters()
    .setTerminationReason("Manual termination");
BatchJobTerminateOptions options = new BatchJobTerminateOptions().setParameters(terminateParams);

SyncPoller<BatchJob, BatchJob> poller = batchClient.beginTerminateJob("myJobId", options, null);
poller.waitForCompletion();
Delete Job
java
SyncPoller<BatchJob, Void> deletePoller = batchClient.beginDeleteJob("myJobId");
deletePoller.waitForCompletion();

Task Operations

Create Single Task
java
BatchTaskCreateParameters task = new BatchTaskCreateParameters("task1", "echo 'Hello World'");
batchClient.createTask("myJobId", task);
Create Task with Exit Conditions
java
batchClient.createTask("myJobId", new BatchTaskCreateParameters("task2", "cmd /c exit 3")
    .setExitConditions(new ExitConditions()
        .setExitCodeRanges(Arrays.asList(
            new ExitCodeRangeMapping(2, 4, 
                new ExitOptions().setJobAction(BatchJobActionKind.TERMINATE)))))
    .setUserIdentity(new UserIdentity()
        .setAutoUser(new AutoUserSpecification()
            .setScope(AutoUserScope.TASK)
            .setElevationLevel(ElevationLevel.NON_ADMIN))),
    null);
Create Task Collection (up to 100)
java
List<BatchTaskCreateParameters> taskList = Arrays.asList(
    new BatchTaskCreateParameters("task1", "echo Task 1"),
    new BatchTaskCreateParameters("task2", "echo Task 2"),
    new BatchTaskCreateParameters("task3", "echo Task 3")
);
BatchTaskGroup taskGroup = new BatchTaskGroup(taskList);
BatchCreateTaskCollectionResult result = batchClient.createTaskCollection("myJobId", taskGroup);
Create Many Tasks (no limit)
java
List<BatchTaskCreateParameters> tasks = new ArrayList<>();
for (int i = 0; i < 1000; i++) {
    tasks.add(new BatchTaskCreateParameters("task" + i, "echo Task " + i));
}
batchClient.createTasks("myJobId", tasks);
Get Task
java
BatchTask task = batchClient.getTask("myJobId", "task1");
System.out.println("Task state: " + task.getState());
System.out.println("Exit code: " + task.getExecutionInfo().getExitCode());
List Tasks
java
PagedIterable<BatchTask> tasks = batchClient.listTasks("myJobId");
for (BatchTask task : tasks) {
    System.out.println("Task: " + task.getId() + ", State: " + task.getState());
}
Get Task Output
java
import com.azure.core.util.BinaryData;
import java.nio.charset.StandardCharsets;

BinaryData stdout = batchClient.getTaskFile("myJobId", "task1", "stdout.txt");
System.out.println(new String(stdout.toBytes(), StandardCharsets.UTF_8));
Terminate Task
java
batchClient.terminateTask("myJobId", "task1", null, null);

Node Operations

List Nodes
java
PagedIterable<BatchNode> nodes = batchClient.listNodes("myPoolId", new BatchNodesListOptions());
for (BatchNode node : nodes) {
    System.out.println("Node: " + node.getId() + ", State: " + node.getState());
}
Reboot Node
java
SyncPoller<BatchNode, BatchNode> rebootPoller = batchClient.beginRebootNode("myPoolId", "nodeId");
rebootPoller.waitForCompletion();
Get Remote Login Settings
java
BatchNodeRemoteLoginSettings settings = batchClient.getNodeRemoteLoginSettings("myPoolId", "nodeId");
System.out.println("IP: " + settings.getRemoteLoginIpAddress());
System.out.println("Port: " + settings.getRemoteLoginPort());

Job Schedule Operations

Create Job Schedule
java
batchClient.createJobSchedule(new BatchJobScheduleCreateParameters("myScheduleId",
    new BatchJobScheduleConfiguration()
        .setRecurrenceInterval(Duration.ofHours(6))
        .setDoNotRunUntil(OffsetDateTime.now().plusDays(1)),
    new BatchJobSpecification(new BatchPoolInfo().setPoolId("myPoolId"))
        .setPriority(50)),
    null);
Get Job Schedule
java
BatchJobSchedule schedule = batchClient.getJobSchedule("myScheduleId");
System.out.println("Schedule state: " + schedule.getState());

Error Handling

java
import com.azure.compute.batch.models.BatchErrorException;
import com.azure.compute.batch.models.BatchError;

try {
    batchClient.getPool("nonexistent-pool");
} catch (BatchErrorException e) {
    BatchError error = e.getValue();
    System.err.println("Error code: " + error.getCode());
    System.err.println("Message: " + error.getMessage().getValue());
    
    if ("PoolNotFound".equals(error.getCode())) {
        System.err.println("The specified pool does not exist.");
    }
}

Best Practices

  1. Use Entra ID — Preferred over shared key for authentication
  2. Use management SDK for pools — azure-resourcemanager-batch supports managed identities
  3. Batch task creation — Use createTaskCollection or createTasks for multiple tasks
  4. Handle LRO properly — Pool resize, delete operations are long-running
  5. Monitor task counts — Use getJobTaskCounts to track progress
  6. Set constraints — Configure maxWallClockTime and maxTaskRetryCount
  7. Use low-priority nodes — Cost savings for fault-tolerant workloads
  8. Enable autoscale — Dynamically adjust pool size based on workload

© microsoft, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (references) in .github/plugins/azure-sdk-java/skills/azure-compute-batch-java of microsoft/skills.

  • SKILL.md
  • references/examples.md

Open the folder on GitHubat commit 354361d

Used in 6 other repositories

We found 15 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 6 other GitHub owners. This page covers the copy in microsoft/skills, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Azure Compute Batch Java next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Azure Compute Batch Java compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Azure Compute Batch Java this skillmicrosoft/skills3.1k6 repos~3kAutomated safety check: PassMIT
FoundatioFoundatioFx/Foundatio2.1k—~3.9kAutomated safety check: PassApache-2.0
Temporal Developertemporalio/skill-temporal-developer230—~2.5kAutomated safety check: PassMIT
Azsdk Common Generate SDK LocallyAzure/azure-sdk-for-android121—~1.5kAutomated safety check: PassMIT
Azure Upgrademicrosoft/GitHub-Copilot-for-Azure2551 repos~1.5kAutomated safety check: PassMIT
Azure Service BusMicrosoftDocs/Agent-Skills775—~4.6kAutomated safety check: PassCC-BY-4.0

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Questions about Azure Compute Batch Java

What does Azure Compute Batch Java do?

Azure Batch SDK for Java. An agent skill from microsoft/skills. Azure Compute Batch Java is an agent skill from microsoft/skills, published by the product's own GitHub organization. Azure Batch SDK for Java.

When should I use Azure Compute Batch Java?

Azure Compute Batch Java fits situations like: tasks that involve Background jobs.

How do I install Azure Compute Batch Java in Claude Code?

Run `npx skills add microsoft/skills --skill azure-compute-batch-java -a claude-code`. Or copy the skill folder (.github/plugins/azure-sdk-java/skills/azure-compute-batch-java in microsoft/skills) into .claude/skills/azure-compute-batch-java in your project. Claude Code loads it when a task matches its description.

How do I install Azure Compute Batch Java in Codex?

Run `npx skills add microsoft/skills --skill azure-compute-batch-java -a codex`. Or copy the skill folder (.github/plugins/azure-sdk-java/skills/azure-compute-batch-java in microsoft/skills) into .agents/skills/azure-compute-batch-java in your project. Codex loads it when a task matches its description.

Can I use Azure Compute Batch Java in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add microsoft/skills --skill azure-compute-batch-java -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/azure-compute-batch-java, .gemini/skills/azure-compute-batch-java, .github/skills/azure-compute-batch-java and .opencode/skills/azure-compute-batch-java in your project.

What does Azure Compute Batch Java need to run?

Going by SKILL.md and its folder, Azure Compute Batch Java needs credentials named AZURE_TOKEN_CREDENTIALS and AZURE_BATCH_ACCESS_KEY. Our summary lists: A credential in AZURE_BATCH_ACCESS_KEY.

Does Azure Compute Batch Java access the network?

SKILL.md names 3 domains. In commands or code: learn.microsoft.com; the agent is likely to contact it when it follows the instructions. As links in the text: github.com and central.sonatype.com. This is read from the text; nothing was executed.

Is Azure Compute Batch Java safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Azure Compute Batch Java use?

Azure Compute Batch Java is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Azure Compute Batch Java use?

About 3k tokens (SKILL.md is roughly 12k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 7.3k tokens, read only when the agent opens those files.

What are the alternatives to Azure Compute Batch Java?

Skills that share tags, products or a category with Azure Compute Batch Java: Foundatio (FoundatioFx/Foundatio, 2.1k stars), Temporal Developer (temporalio/skill-temporal-developer, 230 stars), Azsdk Common Generate SDK Locally (Azure/azure-sdk-for-android, 121 stars) and Azure Upgrade (microsoft/GitHub-Copilot-for-Azure, 255 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Azure Compute Batch Java?

microsoft (a GitHub organization, an official publisher) maintains it in microsoft/skills, which has 3,086 GitHub stars. The repository holds 150 skills in this directory. The repository was last updated on October 6, 2026.

Source: microsoft/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.