Official agent skill

Azure AI Projects Java

by microsoft in microsoft/skills

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

OfficialMITAuto-check passedProduct & Project Management

Install Azure AI Projects Java

skills CLI
$ npx skills add microsoft/skills --skill azure-ai-projects-java -a claude-code

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

GitHub CLI
$ gh skill install microsoft/skills azure-ai-projects-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-ai-projects-java .claude/skills/azure-ai-projects-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-ai-projects-java
GitHub stars
3.1k
Used in
6 other repos
Token cost
~1.4k tokens
SKILL.md length
152 words
Files
2 (incl. references)
Skills in repo
150
Repo updated
First seen
Licence
MIT

At a glance

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

  • Works in 5 steps: Use DefaultAzureCredential for… → Reuse client builder to create multiple… → Handle pagination when listing resources… → …
  • Tasks that involve Project management
  • SKILL.md covers Installation, Environment Variables, Authentication and Client Hierarchy, plus 4 more sections
  • Reaches learn.microsoft.com; needs AZURE_TOKEN_CREDENTIALS

What it does

Azure AI Projects Java is an agent skill from microsoft/skills, published by the product's own GitHub organization. Azure AI Projects SDK for Java. High-level SDK for Azure AI Foundry project management including connections, datasets, indexes, and evaluations. Triggers: "AIProjectClient java", "azure ai projects java", "Foundry project java", "ConnectionsClient", "DatasetsClient", "IndexesClient".

Its SKILL.md is about 1.4k 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 Product & Project Management, covering Project management. It works with Azure AI Foundry, Java and Microsoft Azure. 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 Project management

Example prompts

  • “AIProjectClient java”
  • “azure ai projects java”
  • “Foundry project java”
  • “/azure-ai-projects-java”

Workflow steps

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

  1. Use DefaultAzureCredential for production authentication
  2. Reuse client builder to create multiple sub-clients efficiently
  3. Handle pagination when listing resources with PagedIterable
  4. Use environment variables for connection names and configuration
  5. Check connection types before accessing credentials

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

    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

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

Context cost

Azure AI Projects Java loads about 1.4k tokens when it runs, and up to ~4.4k if it reads all its reference files. Until then it costs about 77 tokens; SKILL.md has 152 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~77
When it runs · the whole SKILL.md, loaded when a task matches
~1.4k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~4.4k

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). 152 words, ~1,380 tokens.

Download SKILL.mdSave it as .claude/skills/azure-ai-projects-java/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
azure-ai-projects-java
description
Azure AI Projects SDK for Java. High-level SDK for Azure AI Foundry project management including connections, datasets, indexes, and evaluations. Triggers: "AIProjectClient java", "azure ai projects java", "Foundry project java", "ConnectionsClient", "DatasetsClient", "IndexesClient".
license
MIT
metadata.author
Microsoft
metadata.version
1.0.0
metadata.package
com.azure:azure-ai-projects

Azure AI Projects SDK for Java

High-level SDK for Azure AI Foundry project management with access to connections, datasets, indexes, and evaluations.

Installation

xml
<dependency>
    <groupId>com.azure</groupId>
    <artifactId>azure-ai-projects</artifactId>
    <version>1.0.0-beta.1</version>
</dependency>

Environment Variables

bash
PROJECT_ENDPOINT=https://<resource>.services.ai.azure.com/api/projects/<project> # Required for project configuration
AZURE_TOKEN_CREDENTIALS=prod  # Required only if DefaultAzureCredential is used in production

Authentication

java
import com.azure.ai.projects.AIProjectClientBuilder;
import com.azure.core.credential.TokenCredential;
import com.azure.identity.AzureIdentityEnvVars;
import com.azure.identity.DefaultAzureCredentialBuilder;
import com.azure.identity.ManagedIdentityCredentialBuilder;

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();

AIProjectClientBuilder builder = new AIProjectClientBuilder()
    .endpoint(System.getenv("PROJECT_ENDPOINT"))
    .credential(credential);

Client Hierarchy

The SDK provides multiple sub-clients for different operations:

ClientPurpose
ConnectionsClientEnumerate connected Azure resources
DatasetsClientUpload documents and manage datasets
DeploymentsClientEnumerate AI model deployments
IndexesClientCreate and manage search indexes
EvaluationsClientRun AI model evaluations
EvaluatorsClientManage evaluator configurations
SchedulesClientManage scheduled operations
java
// Build sub-clients from builder
ConnectionsClient connectionsClient = builder.buildConnectionsClient();
DatasetsClient datasetsClient = builder.buildDatasetsClient();
DeploymentsClient deploymentsClient = builder.buildDeploymentsClient();
IndexesClient indexesClient = builder.buildIndexesClient();
EvaluationsClient evaluationsClient = builder.buildEvaluationsClient();

Core Operations

List Connections
java
import com.azure.ai.projects.models.Connection;
import com.azure.core.http.rest.PagedIterable;

PagedIterable<Connection> connections = connectionsClient.listConnections();
for (Connection connection : connections) {
    System.out.println("Name: " + connection.getName());
    System.out.println("Type: " + connection.getType());
    System.out.println("Credential Type: " + connection.getCredentials().getType());
}
List Indexes
java
indexesClient.listLatest().forEach(index -> {
    System.out.println("Index name: " + index.getName());
    System.out.println("Version: " + index.getVersion());
    System.out.println("Description: " + index.getDescription());
});
Create or Update Index
java
import com.azure.ai.projects.models.AzureAISearchIndex;
import com.azure.ai.projects.models.Index;

String indexName = "my-index";
String indexVersion = "1.0";
String searchConnectionName = System.getenv("AI_SEARCH_CONNECTION_NAME");
String searchIndexName = System.getenv("AI_SEARCH_INDEX_NAME");

Index index = indexesClient.createOrUpdate(
    indexName,
    indexVersion,
    new AzureAISearchIndex()
        .setConnectionName(searchConnectionName)
        .setIndexName(searchIndexName)
);

System.out.println("Created index: " + index.getName());
Access OpenAI Evaluations

The SDK exposes OpenAI's official SDK for evaluations:

java
import com.openai.services.EvalService;

EvalService evalService = evaluationsClient.getOpenAIClient();
// Use OpenAI evaluation APIs directly

Best Practices

  1. Use DefaultAzureCredential for production authentication
  2. Reuse client builder to create multiple sub-clients efficiently
  3. Handle pagination when listing resources with PagedIterable
  4. Use environment variables for connection names and configuration
  5. Check connection types before accessing credentials

Error Handling

java
import com.azure.core.exception.HttpResponseException;
import com.azure.core.exception.ResourceNotFoundException;

try {
    Index index = indexesClient.get(indexName, version);
} catch (ResourceNotFoundException e) {
    System.err.println("Index not found: " + indexName);
} catch (HttpResponseException e) {
    System.err.println("Error: " + e.getResponse().getStatusCode());
}

© 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-ai-projects-java of microsoft/skills.

  • SKILL.md
  • references/examples.md

Open the folder on GitHubat commit 354361d

Used in 6 other repositories

We found 19 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 AI Projects 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 AI Projects Java compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Azure AI Projects Java this skillmicrosoft/skills3.1k6 repos~1.4kAutomated safety check: PassMIT
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Extend Commands APIredis/lettuce5.8k—~7.7kAutomated safety check: NotesMIT
Uvastral-sh/claude-code-plugins3142 repos~980Automated safety check: PassApache-2.0
Project Managementkunchenguid/firstmate7.6k—~2.1kAutomated safety check: PassMIT
Writing Javadocredis/lettuce5.8k—~809Automated safety check: PassMIT

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Questions about Azure AI Projects Java

What does Azure AI Projects Java do?

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

When should I use Azure AI Projects Java?

Azure AI Projects Java fits situations like: tasks that involve Project management.

How do I install Azure AI Projects Java in Claude Code?

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

How do I install Azure AI Projects Java in Codex?

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

Can I use Azure AI Projects 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-ai-projects-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-ai-projects-java, .gemini/skills/azure-ai-projects-java, .github/skills/azure-ai-projects-java and .opencode/skills/azure-ai-projects-java in your project.

What does Azure AI Projects Java need to run?

Going by SKILL.md and its folder, Azure AI Projects Java needs credentials named AZURE_TOKEN_CREDENTIALS.

Does Azure AI Projects Java access the network?

SKILL.md names 2 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. This is read from the text; nothing was executed.

Is Azure AI Projects 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 AI Projects Java use?

Azure AI Projects 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 AI Projects Java use?

About 1.4k tokens (SKILL.md is roughly 5.5k 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 3k tokens, read only when the agent opens those files.

What are the alternatives to Azure AI Projects Java?

Skills that share tags, products or a category with Azure AI Projects Java: CCPM Project Management (automazeio/ccpm, 8.4k stars), Extend Commands API (redis/lettuce, 5.8k stars), Uv (astral-sh/claude-code-plugins, 314 stars) and Project Management (kunchenguid/firstmate, 7.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Azure AI Projects 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.