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Azure Batch SDK for Java v1.0.0

Use this resource to use the Azure Batch Java SDK to run large-scale parallel jobs

New

  • 532 downloads
  • 246 likes
  • 212 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install azure-batch-jobs-java

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent configures the Java client with Entra ID or a shared key, then writes the pool and task operations. You get Java code to create and query pools, with the environment variables it needs.

Mostly picked by

Updated November 2, 2026

Card for the “Azure Batch SDK for Java” skill

Details

Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: Maven install, environment variables and client creation
  • SKILL.md: pool operations, key concepts and examples

Good fit for

  • Your workload splits into independent tasks to run in parallel
  • Your Java service must drive an Azure Batch account

Not for

    Tags

    • azure batch
    • java
    • parallel computing
    • pools

    About

    You say

    “Write the Java code that creates a 10-node Azure Batch pool for my image processing job.”

    Card for the “Azure Batch SDK for Java” skill

    Skill published by sickn33 under the MIT license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to use the Azure Batch Java SDK to run large-scale parallel jobs
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md12.2 KB

    Origin and licence

    Listed unmodified

    Author
    sickn33
    Source
    github.com/sickn33/agentic-awesome-skills/tree/e9809578fd426a284af017c5db99f8eb6628e6ca/skills/azure-compute-batch-java
    Licence
    MIT

    Notice

    « azure-compute-batch-java » (sickn33, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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