They have different levels of permissions and [specific instructions](./management-tasks.md){.internal-link target=_blank}.

Some of the tasks they can perform include:

* Adding labels to PRs.
* Editing PR titles.
* Adding commits on top of PRs to tweak them.
* Mark answers in GitHub Discussions questions, etc.
* Merge some specific types of PRs.

        return this;
    }

    /**
     * Adds a tag to filter by.
     * @param tag The tag.
     * @return This builder instance.
     */
    public PopularWordsRequestBuilder addTag(final String tag) {
        request.addTag(tag);
        return this;
    }

    /**
     * Adds a role to filter by.
     * @param role The role.
     * @return This builder instance.
     */

* Edit the text of the PR title to start in "imperative", like giving an order. So, instead of `Adding support for teleporting` use `Add support for teleporting`.

 * This class provides methods for managing a queue of URLs to be crawled,
 * including adding, deleting, and retrieving URLs from the queue.
 * It uses a {@link MemoryDataHelper} to store the URL queue data in memory.
 *
 * <p>
 * The class is responsible for:
 * </p>
 * <ul>
 *   <li>Updating session IDs for URL queues.</li>
 *   <li>Adding new URLs to the queue.</li>

        try {
            final NbtAddress[] addrs = getNodeStatus(addr);
            cacheAddressArray(addrs);
            return addrs;
        } catch (final UnknownHostException uhe) {
            throw new UnknownHostException("no name with type 0x" + Hexdump.toHexString(addr.getNameType(), 2)

   
     * If you have above configuration and using _**Windows**_ platform -
       * Try adding the CUDA, CUPTI, and cuDNN installation directories to the %PATH% environment variable.
       * Refer [windows setup guide](https://www.tensorflow.org/install/gpu#windows_setup).
     * If you have above configuration and using _**Ubuntu/Linux**_ platform -
       * Try adding the CUDA, CUPTI, and cuDNN installation directories to the $LD_LIBRARY_PATH environment variable.

        return this;
    }

    /**
     * Adds a tag to filter by.
     * @param tag The tag.
     * @return This builder instance.
     */
    public SuggestRequestBuilder addTag(final String tag) {
        request.addTag(tag);
        return this;
    }

    /**
     * Adds a role to filter by.
     * @param role The role.
     * @return This builder instance.
     */

import org.opensearch.core.common.Strings;
import org.opensearch.transport.client.Client;

/**
 * The BadWordSettings class manages the settings related to bad words.
 * It allows adding, deleting, and retrieving bad words from the settings.
 * It also supports loading default bad words from a file.
 */
public class BadWordSettings {

 * (or {@link FluentFuture#transform(com.google.common.base.Function, Executor)
 * FluentFuture.transform}), but you will often find it easier to use a framework. Frameworks
 * automate the process, often adding features like monitoring, debugging, and cancellation.
 * Examples of frameworks include:
 *
 * <ul>
 *   <li><a href="https://dagger.dev/producers.html">Dagger Producers</a>
 * </ul>
 *

        assertNotNull(response);
    }

    @Test
    public void test_addTag() throws Exception {
        indexItems();

        PopularWordsResponse response = suggester.popularWords().addTag("tag1").execute().getResponse();

        assertNotNull(response);
    }

    @Test
    public void test_addRole() throws Exception {
        indexItems();