Azure Cosmos DB SDK for Java

Overview

This public intake copy packages

plugins/antigravity-awesome-skills/skills/azure-cosmos-java

https://github.com/sickn33/antigravity-awesome-skills

Use it when the operator needs the upstream workflow, support files, and repository context to stay intact while the public validator and private enhancer continue their normal downstream flow.

This intake keeps the copied upstream files intact and uses

metadata.json

ORIGIN.md

Azure Cosmos DB SDK for Java Client library for Azure Cosmos DB NoSQL API with global distribution and reactive patterns.

Imported source sections that did not map cleanly to the public headings are still preserved below or in the support files. Notable imported sections: Environment Variables, Authentication, Client Hierarchy, Key Concepts, Error Handling, Limitations.

When to Use This Skill

Use this section as the trigger filter. It should make the activation boundary explicit before the operator loads files, runs commands, or opens a pull request.

• This skill is applicable to execute the workflow or actions described in the overview.
• Use when the request clearly matches the imported source intent: Azure Cosmos DB SDK for Java. NoSQL database operations with global distribution, multi-model support, and reactive patterns.
• Use when the operator should preserve upstream workflow detail instead of rewriting the process from scratch.
• Use when provenance needs to stay visible in the answer, PR, or review packet.
• Use when copied upstream references, examples, or scripts materially improve the answer.
• Use when the workflow should remain reviewable in the public intake repo before the private enhancer takes over.

Operating Table

metadata.json

ORIGIN.md

SKILL.md

SKILL.md

## Related Skills

Workflow

This workflow is intentionally editorial and operational at the same time. It keeps the imported source useful to the operator while still satisfying the public intake standards that feed the downstream enhancer flow.

1. xml <dependency> <groupId>com.azure</groupId> <artifactId>azure-cosmos</artifactId> <version>LATEST</version> </dependency> Or use Azure SDK BOM: xml <dependencyManagement> <dependencies> <dependency> <groupId>com.azure</groupId> <artifactId>azure-sdk-bom</artifactId> <version>{bom_version}</version> <type>pom</type> <scope>import</scope> </dependency> </dependencies> </dependencyManagement> <dependencies> <dependency> <groupId>com.azure</groupId> <artifactId>azure-cosmos</artifactId> </dependency> </dependencies> ### Create Database java // Sync client.createDatabaseIfNotExists("myDatabase") .map(response -> client.getDatabase(response.getProperties().getId())); // Async with chaining asyncClient.createDatabaseIfNotExists("myDatabase") .map(response -> asyncClient.getDatabase(response.getProperties().getId())) .subscribe(database -> System.out.println("Created: " + database.getId())); ### Create Container java asyncClient.createDatabaseIfNotExists("myDatabase") .flatMap(dbResponse -> { String databaseId = dbResponse.getProperties().getId(); return asyncClient.getDatabase(databaseId) .createContainerIfNotExists("myContainer", "/partitionKey") .map(containerResponse -> asyncClient.getDatabase(databaseId) .getContainer(containerResponse.getProperties().getId())); }) .subscribe(container -> System.out.println("Container: " + container.getId())); ### CRUD Operations java import com.azure.cosmos.models.PartitionKey; CosmosAsyncContainer container = asyncClient .getDatabase("myDatabase") .getContainer("myContainer"); // Create container.createItem(new User("1", "John Doe", "john@example.com")) .flatMap(response -> { System.out.println("Created: " + response.getItem()); // Read return container.readItem( response.getItem().getId(), new PartitionKey(response.getItem().getId()), User.class); }) .flatMap(response -> { System.out.println("Read: " + response.getItem()); // Update User user = response.getItem(); user.setEmail("john.doe@example.com"); return container.replaceItem( user, user.getId(), new PartitionKey(user.getId())); }) .flatMap(response -> { // Delete return container.deleteItem( response.getItem().getId(), new PartitionKey(response.getItem().getId())); }) .block(); ### Query Documents java import com.azure.cosmos.models.CosmosQueryRequestOptions; import com.azure.cosmos.util.CosmosPagedIterable; CosmosContainer container = client.getDatabase("myDatabase").getContainer("myContainer"); String query = "SELECT * FROM c WHERE c.status = @status"; CosmosQueryRequestOptions options = new CosmosQueryRequestOptions(); CosmosPagedIterable<User> results = container.queryItems( query, options, User.class ); results.forEach(user -> System.out.println("User: " + user.getName()));
2. Confirm the user goal, the scope of the imported workflow, and whether this skill is still the right router for the task.
3. Read the overview and provenance files before loading any copied upstream support files.
4. Load only the references, examples, prompts, or scripts that materially change the outcome for the current request.
5. Execute the upstream workflow while keeping provenance and source boundaries explicit in the working notes.
6. Validate the result against the upstream expectations and the evidence you can point to in the copied files.
7. Escalate or hand off to a related skill when the work moves out of this imported workflow's center of gravity.

Imported Workflow Notes

Imported: Installation

<dependency>
    <groupId>com.azure</groupId>
    <artifactId>azure-cosmos</artifactId>
    <version>LATEST</version>
</dependency>

Or use Azure SDK BOM:

<dependencyManagement>
    <dependencies>
        <dependency>
            <groupId>com.azure</groupId>
            <artifactId>azure-sdk-bom</artifactId>
            <version>{bom_version}</version>
            <type>pom</type>
            <scope>import</scope>
        </dependency>
    </dependencies>
</dependencyManagement>

<dependencies>
    <dependency>
        <groupId>com.azure</groupId>
        <artifactId>azure-cosmos</artifactId>
    </dependency>
</dependencies>

Imported: Core Workflow

Create Database

// Sync
client.createDatabaseIfNotExists("myDatabase")
    .map(response -> client.getDatabase(response.getProperties().getId()));

// Async with chaining
asyncClient.createDatabaseIfNotExists("myDatabase")
    .map(response -> asyncClient.getDatabase(response.getProperties().getId()))
    .subscribe(database -> System.out.println("Created: " + database.getId()));

Create Container

asyncClient.createDatabaseIfNotExists("myDatabase")
    .flatMap(dbResponse -> {
        String databaseId = dbResponse.getProperties().getId();
        return asyncClient.getDatabase(databaseId)
            .createContainerIfNotExists("myContainer", "/partitionKey")
            .map(containerResponse -> asyncClient.getDatabase(databaseId)
                .getContainer(containerResponse.getProperties().getId()));
    })
    .subscribe(container -> System.out.println("Container: " + container.getId()));

CRUD Operations

import com.azure.cosmos.models.PartitionKey;

CosmosAsyncContainer container = asyncClient
    .getDatabase("myDatabase")
    .getContainer("myContainer");

// Create
container.createItem(new User("1", "John Doe", "john@example.com"))
    .flatMap(response -> {
        System.out.println("Created: " + response.getItem());
        // Read
        return container.readItem(
            response.getItem().getId(),
            new PartitionKey(response.getItem().getId()),
            User.class);
    })
    .flatMap(response -> {
        System.out.println("Read: " + response.getItem());
        // Update
        User user = response.getItem();
        user.setEmail("john.doe@example.com");
        return container.replaceItem(
            user,
            user.getId(),
            new PartitionKey(user.getId()));
    })
    .flatMap(response -> {
        // Delete
        return container.deleteItem(
            response.getItem().getId(),
            new PartitionKey(response.getItem().getId()));
    })
    .block();

Query Documents

import com.azure.cosmos.models.CosmosQueryRequestOptions;
import com.azure.cosmos.util.CosmosPagedIterable;

CosmosContainer container = client.getDatabase("myDatabase").getContainer("myContainer");

String query = "SELECT * FROM c WHERE c.status = @status";
CosmosQueryRequestOptions options = new CosmosQueryRequestOptions();

CosmosPagedIterable<User> results = container.queryItems(
    query,
    options,
    User.class
);

results.forEach(user -> System.out.println("User: " + user.getName()));

Imported: Environment Variables

COSMOS_ENDPOINT=https://<account>.documents.azure.com:443/
COSMOS_KEY=<your-primary-key>

Examples

Example 1: Ask for the upstream workflow directly

Use @azure-cosmos-java-v2 to handle <task>. Start from the copied upstream workflow, load only the files that change the outcome, and keep provenance visible in the answer.

Explanation: This is the safest starting point when the operator needs the imported workflow, but not the entire repository.

Example 2: Ask for a provenance-grounded review

Review @azure-cosmos-java-v2 against metadata.json and ORIGIN.md, then explain which copied upstream files you would load first and why.

Explanation: Use this before review or troubleshooting when you need a precise, auditable explanation of origin and file selection.

Example 3: Narrow the copied support files before execution

Use @azure-cosmos-java-v2 for <task>. Load only the copied references, examples, or scripts that change the outcome, and name the files explicitly before proceeding.

Explanation: This keeps the skill aligned with progressive disclosure instead of loading the whole copied package by default.

Example 4: Build a reviewer packet

Review @azure-cosmos-java-v2 using the copied upstream files plus provenance, then summarize any gaps before merge.

Explanation: This is useful when the PR is waiting for human review and you want a repeatable audit packet.

Best Practices

Treat the generated public skill as a reviewable packaging layer around the upstream repository. The goal is to keep provenance explicit and load only the copied source material that materially improves execution.

• Reuse CosmosClient — Create once, reuse throughout application
• Use async client for high-throughput scenarios
• Choose partition key carefully — Affects performance and scalability
• Enable content response on write for immediate access to created items
• Configure preferred regions for geo-distributed applications
• Handle 429 errors with retry policies (built-in by default)
• Use direct mode for lowest latency in production

Imported Operating Notes

Imported: Best Practices

1. Reuse CosmosClient — Create once, reuse throughout application
2. Use async client for high-throughput scenarios
3. Choose partition key carefully — Affects performance and scalability
4. Enable content response on write for immediate access to created items
5. Configure preferred regions for geo-distributed applications
6. Handle 429 errors with retry policies (built-in by default)
7. Use direct mode for lowest latency in production

Troubleshooting

Problem: The operator skipped the imported context and answered too generically

Symptoms: The result ignores the upstream workflow in

plugins/antigravity-awesome-skills/skills/azure-cosmos-java

metadata.json

ORIGIN.md

Problem: The imported workflow feels incomplete during review

Symptoms: Reviewers can see the generated

SKILL.md

Problem: The task drifted into a different specialization

Symptoms: The imported skill starts in the right place, but the work turns into debugging, architecture, design, security, or release orchestration that a native skill handles better. Solution: Use the related skills section to hand off deliberately. Keep the imported provenance visible so the next skill inherits the right context instead of starting blind.

Related Skills

• @azure-ai-projects-py-v2

  - Use when the work is better handled by that native specialization after this imported skill establishes context.

• @azure-ai-projects-ts-v2

  - Use when the work is better handled by that native specialization after this imported skill establishes context.

• @azure-ai-textanalytics-py-v2

  - Use when the work is better handled by that native specialization after this imported skill establishes context.

• @azure-ai-transcription-py-v2

  - Use when the work is better handled by that native specialization after this imported skill establishes context.

Additional Resources

Use this support matrix and the linked files below as the operator packet for this imported skill. They should reflect real copied source material, not generic scaffolding.

references

references/n/a

examples

examples/n/a

scripts

scripts/n/a

agents

agents/n/a

assets

assets/n/a

Imported Reference Notes

Imported: Reference Links

Imported: Authentication

Key-based Authentication

import com.azure.cosmos.CosmosClient;
import com.azure.cosmos.CosmosClientBuilder;

CosmosClient client = new CosmosClientBuilder()
    .endpoint(System.getenv("COSMOS_ENDPOINT"))
    .key(System.getenv("COSMOS_KEY"))
    .buildClient();

Async Client

import com.azure.cosmos.CosmosAsyncClient;

CosmosAsyncClient asyncClient = new CosmosClientBuilder()
    .endpoint(serviceEndpoint)
    .key(key)
    .buildAsyncClient();

With Customizations

import com.azure.cosmos.ConsistencyLevel;
import java.util.Arrays;

CosmosClient client = new CosmosClientBuilder()
    .endpoint(serviceEndpoint)
    .key(key)
    .directMode(directConnectionConfig, gatewayConnectionConfig)
    .consistencyLevel(ConsistencyLevel.SESSION)
    .connectionSharingAcrossClientsEnabled(true)
    .contentResponseOnWriteEnabled(true)
    .userAgentSuffix("my-application")
    .preferredRegions(Arrays.asList("West US", "East US"))
    .buildClient();

Imported: Client Hierarchy

CosmosClient

CosmosAsyncClient

CosmosDatabase

CosmosAsyncDatabase

CosmosContainer

CosmosAsyncContainer

Imported: Key Concepts

Partition Keys

Choose a partition key with:

• High cardinality (many distinct values)
• Even distribution of data and requests
• Frequently used in queries

Consistency Levels

Request Units (RUs)

All operations consume RUs. Check response headers:

CosmosItemResponse<User> response = container.createItem(user);
System.out.println("RU charge: " + response.getRequestCharge());

Imported: Error Handling

import com.azure.cosmos.CosmosException;

try {
    container.createItem(item);
} catch (CosmosException e) {
    System.err.println("Status: " + e.getStatusCode());
    System.err.println("Message: " + e.getMessage());
    System.err.println("Request charge: " + e.getRequestCharge());
    
    if (e.getStatusCode() == 409) {
        System.err.println("Item already exists");
    } else if (e.getStatusCode() == 429) {
        System.err.println("Rate limited, retry after: " + e.getRetryAfterDuration());
    }
}

Imported: Limitations

• Use this skill only when the task clearly matches the scope described above.
• Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
• Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.