Skip to content
TrustedSkillsbeta
Back to all skills

Azure Ai Agents Persistent Java

Checked
claudedjale·vlatest·cloud·MIT

Helps with Azure, AI, Java as part of deploying and managing cloud infrastructure workflows.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add claudedjale/skillset --skill azure-ai-agents-persistent-java -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

claudedjale

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned claudedjale/skillset at 154f146735.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
154f146735
Manifest
.github/plugins/azure-sdk-java/skills/azure-ai-agents-persistent-java/SKILL.md
Scanned
3 files, 1,323 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill enables Azure AI Agents to maintain persistent state using Java. It allows agents to remember information across multiple conversations and interactions, providing a more personalized and contextually aware experience for users. The skill leverages Java code deployed within the Azure environment to manage this persistent data.

When to use it

  • Personalized Recommendations: Build an agent that remembers user preferences (e.g., product interests) and provides tailored recommendations over time.
  • Order Tracking: Allow users to track orders or service requests, with the agent remembering their order details across sessions.
  • Multi-Step Processes: Guide users through complex processes (e.g., loan applications) where information needs to be retained between steps.
  • User Profiles: Create agents that build and maintain user profiles based on interactions, enabling more customized responses and services.

Key capabilities

  • Java code execution within Azure AI Agents
  • Persistent state management across conversations
  • Integration with Azure environment for data storage
  • Contextual awareness through remembered information

Example prompts

  • "Remember I'm interested in hiking boots."
  • "What was the status of my order #12345?"
  • "Continue where we left off in the loan application process."

Tips & gotchas

  • Requires a working Azure environment and familiarity with Java development.
  • Consider data privacy implications when storing user information persistently.