From antigravity-awesome-skills
Provides Azure AI Projects SDK for Java to manage AI Foundry project resources: connections, datasets, indexes, evaluations, deployments, and schedules.
How this skill is triggered — by the user, by Claude, or both
Slash command
/antigravity-awesome-skills:azure-ai-projects-javaThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
High-level SDK for Azure AI Foundry project management with access to connections, datasets, indexes, and evaluations.
High-level SDK for Azure AI Foundry project management with access to connections, datasets, indexes, and evaluations.
<dependency>
<groupId>com.azure</groupId>
<artifactId>azure-ai-projects</artifactId>
<version>1.0.0-beta.1</version>
</dependency>
PROJECT_ENDPOINT=https://<resource>.services.ai.azure.com/api/projects/<project>
import com.azure.ai.projects.AIProjectClientBuilder;
import com.azure.identity.DefaultAzureCredentialBuilder;
AIProjectClientBuilder builder = new AIProjectClientBuilder()
.endpoint(System.getenv("PROJECT_ENDPOINT"))
.credential(new DefaultAzureCredentialBuilder().build());
The SDK provides multiple sub-clients for different operations:
| Client | Purpose |
|---|---|
ConnectionsClient | Enumerate connected Azure resources |
DatasetsClient | Upload documents and manage datasets |
DeploymentsClient | Enumerate AI model deployments |
IndexesClient | Create and manage search indexes |
EvaluationsClient | Run AI model evaluations |
EvaluatorsClient | Manage evaluator configurations |
SchedulesClient | Manage scheduled operations |
// 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();
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());
}
indexesClient.listLatest().forEach(index -> {
System.out.println("Index name: " + index.getName());
System.out.println("Version: " + index.getVersion());
System.out.println("Description: " + index.getDescription());
});
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());
The SDK exposes OpenAI's official SDK for evaluations:
import com.openai.services.EvalService;
EvalService evalService = evaluationsClient.getOpenAIClient();
// Use OpenAI evaluation APIs directly
PagedIterableimport 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());
}
This skill is applicable to execute the workflow or actions described in the overview.
npx claudepluginhub sickn33/antigravity-awesome-skills --plugin antigravity-bundle-aas-mobile-app-builderManages Azure AI Foundry projects using Java SDK: connections, datasets, indexes, evaluations, deployments, schedules, and evaluators. For AI project lifecycle tasks.
Manages Azure AI Foundry projects in Java via SDK clients for connections, datasets, indexes, evaluations, deployments, and schedules.
Build and manage Azure AI Foundry projects using @azure/ai-projects JavaScript SDK: agents with tools, connections, deployments, datasets, indexes, evaluations, OpenAI clients.