Tiger Brokers Java SDK
qusong0627/QuantMind
Reference guides for the Tiger Brokers OpenAPI Java SDK: setup, market data, stock, futures and options trading, real-time push, account queries and strategy examples.
Azure AI VoiceLive SDK for Java. An agent skill from microsoft/skills.
$ npx skills add microsoft/skills --skill azure-ai-voicelive-java -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install microsoft/skills azure-ai-voicelive-java --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-voicelive-java .claude/skills/azure-ai-voicelive-java && rm -rf skills-srcUse ~/.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/
Install the "azure-ai-voicelive-java" agent skill from https://github.com/microsoft/skills/tree/main/.github/plugins/azure-sdk-java/skills/azure-ai-voicelive-java into .claude/skills/azure-ai-voicelive-java/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-ai-voicelive-java", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/microsoft/skills/tree/main/.github/plugins/azure-sdk-java/skills/azure-ai-voicelive-javaType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add microsoft/skills --skill azure-ai-voicelive-java -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install microsoft/skills azure-ai-voicelive-java --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/microsoft/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.github/plugins/azure-sdk-java/skills/azure-ai-voicelive-java .agents/skills/azure-ai-voicelive-java && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "azure-ai-voicelive-java" agent skill from https://github.com/microsoft/skills/tree/main/.github/plugins/azure-sdk-java/skills/azure-ai-voicelive-java into .agents/skills/azure-ai-voicelive-java/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-ai-voicelive-java", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add microsoft/skills --skill azure-ai-voicelive-java -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install microsoft/skills azure-ai-voicelive-java --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/microsoft/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.github/plugins/azure-sdk-java/skills/azure-ai-voicelive-java .cursor/skills/azure-ai-voicelive-java && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "azure-ai-voicelive-java" agent skill from https://github.com/microsoft/skills/tree/main/.github/plugins/azure-sdk-java/skills/azure-ai-voicelive-java into .cursor/skills/azure-ai-voicelive-java/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-ai-voicelive-java", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/microsoft/skills.git --path .github/plugins/azure-sdk-java/skills/azure-ai-voicelive-java--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add microsoft/skills --skill azure-ai-voicelive-java -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install microsoft/skills azure-ai-voicelive-java --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/microsoft/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.github/plugins/azure-sdk-java/skills/azure-ai-voicelive-java .gemini/skills/azure-ai-voicelive-java && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "azure-ai-voicelive-java" agent skill from https://github.com/microsoft/skills/tree/main/.github/plugins/azure-sdk-java/skills/azure-ai-voicelive-java into .gemini/skills/azure-ai-voicelive-java/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-ai-voicelive-java", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install microsoft/skills azure-ai-voicelive-javaInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add microsoft/skills --skill azure-ai-voicelive-java -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/microsoft/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/.github/plugins/azure-sdk-java/skills/azure-ai-voicelive-java .github/skills/azure-ai-voicelive-java && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "azure-ai-voicelive-java" agent skill from https://github.com/microsoft/skills/tree/main/.github/plugins/azure-sdk-java/skills/azure-ai-voicelive-java into .github/skills/azure-ai-voicelive-java/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-ai-voicelive-java", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add microsoft/skills --skill azure-ai-voicelive-java -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install microsoft/skills azure-ai-voicelive-java --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/microsoft/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.github/plugins/azure-sdk-java/skills/azure-ai-voicelive-java .opencode/skills/azure-ai-voicelive-java && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "azure-ai-voicelive-java" agent skill from https://github.com/microsoft/skills/tree/main/.github/plugins/azure-sdk-java/skills/azure-ai-voicelive-java into .opencode/skills/azure-ai-voicelive-java/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-ai-voicelive-java", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
azure-ai-voicelive-javaAzure AI VoiceLive SDK for Java. An agent skill from microsoft/skills.
Azure AI Voicelive Java is an agent skill from microsoft/skills, published by the product's own GitHub organization. Azure AI VoiceLive SDK for Java. Real-time bidirectional voice conversations with AI assistants using WebSocket. Triggers: "VoiceLiveClient java", "voice assistant java", "real-time voice java", "audio streaming java", "voice activity detection java".
Its SKILL.md is about 2k 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 Backend & APIs, covering Realtime and WebSockets. It works with Java, Azure AI Speech 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.
4 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 354361d. It shows what the files ask for, not the result of running them.
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.
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.
Hosts in commands or code, which the agent is likely to contact:
learn.microsoft.comAlso links to:
github.comFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
AZURE_VOICELIVE_API_KEYAZURE_TOKEN_CREDENTIALSFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Azure AI Voicelive Java loads about 2k tokens when it runs, and up to ~8.2k if it reads all its reference files. Until then it costs about 69 tokens; SKILL.md has 147 words of instructions outside code blocks.
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.
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.
The full file from microsoft/skills at commit 354361d, republished under its MIT licence (© microsoft). 147 words, ~2,033 tokens.
.claude/skills/azure-ai-voicelive-java/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.Real-time, bidirectional voice conversations with AI assistants using WebSocket technology.
<dependency>
<groupId>com.azure</groupId>
<artifactId>azure-ai-voicelive</artifactId>
<version>1.0.0-beta.2</version>
</dependency>AZURE_VOICELIVE_ENDPOINT=https://<resource>.openai.azure.com/ # Required for all auth methods
AZURE_VOICELIVE_API_KEY=<your-api-key> # Only required for AzureKeyCredential auth
AZURE_TOKEN_CREDENTIALS=prod # Required only if DefaultAzureCredential is used in productionimport com.azure.ai.voicelive.VoiceLiveAsyncClient;
import com.azure.ai.voicelive.VoiceLiveClientBuilder;
import com.azure.core.credential.AzureKeyCredential;
VoiceLiveAsyncClient client = new VoiceLiveClientBuilder()
.endpoint(System.getenv("AZURE_VOICELIVE_ENDPOINT"))
.credential(new AzureKeyCredential(System.getenv("AZURE_VOICELIVE_API_KEY")))
.buildAsyncClient();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();
VoiceLiveAsyncClient client = new VoiceLiveClientBuilder()
.endpoint(System.getenv("AZURE_VOICELIVE_ENDPOINT"))
.credential(credential)
.buildAsyncClient();| Concept | Description |
|---|---|
VoiceLiveAsyncClient | Main entry point for voice sessions |
VoiceLiveSessionAsyncClient | Active WebSocket connection for streaming |
VoiceLiveSessionOptions | Configuration for session behavior |
import reactor.core.publisher.Mono;
client.startSession("gpt-4o-realtime-preview")
.flatMap(session -> {
System.out.println("Session started");
// Subscribe to events
session.receiveEvents()
.subscribe(
event -> System.out.println("Event: " + event.getType()),
error -> System.err.println("Error: " + error.getMessage())
);
return Mono.just(session);
})
.block();import com.azure.ai.voicelive.models.*;
import java.util.Arrays;
ServerVadTurnDetection turnDetection = new ServerVadTurnDetection()
.setThreshold(0.5) // Sensitivity (0.0-1.0)
.setPrefixPaddingMs(300) // Audio before speech
.setSilenceDurationMs(500) // Silence to end turn
.setInterruptResponse(true) // Allow interruptions
.setAutoTruncate(true)
.setCreateResponse(true);
AudioInputTranscriptionOptions transcription = new AudioInputTranscriptionOptions(
AudioInputTranscriptionOptionsModel.WHISPER_1);
VoiceLiveSessionOptions options = new VoiceLiveSessionOptions()
.setInstructions("You are a helpful AI voice assistant.")
.setVoice(BinaryData.fromObject(new OpenAIVoice(OpenAIVoiceName.ALLOY)))
.setModalities(Arrays.asList(InteractionModality.TEXT, InteractionModality.AUDIO))
.setInputAudioFormat(InputAudioFormat.PCM16)
.setOutputAudioFormat(OutputAudioFormat.PCM16)
.setInputAudioSamplingRate(24000)
.setInputAudioNoiseReduction(new AudioNoiseReduction(AudioNoiseReductionType.NEAR_FIELD))
.setInputAudioEchoCancellation(new AudioEchoCancellation())
.setInputAudioTranscription(transcription)
.setTurnDetection(turnDetection);
// Send configuration
ClientEventSessionUpdate updateEvent = new ClientEventSessionUpdate(options);
session.sendEvent(updateEvent).subscribe();byte[] audioData = readAudioChunk(); // Your PCM16 audio data
session.sendInputAudio(BinaryData.fromBytes(audioData)).subscribe();session.receiveEvents().subscribe(event -> {
ServerEventType eventType = event.getType();
if (ServerEventType.SESSION_CREATED.equals(eventType)) {
System.out.println("Session created");
} else if (ServerEventType.INPUT_AUDIO_BUFFER_SPEECH_STARTED.equals(eventType)) {
System.out.println("User started speaking");
} else if (ServerEventType.INPUT_AUDIO_BUFFER_SPEECH_STOPPED.equals(eventType)) {
System.out.println("User stopped speaking");
} else if (ServerEventType.RESPONSE_AUDIO_DELTA.equals(eventType)) {
if (event instanceof SessionUpdateResponseAudioDelta) {
SessionUpdateResponseAudioDelta audioEvent = (SessionUpdateResponseAudioDelta) event;
playAudioChunk(audioEvent.getDelta());
}
} else if (ServerEventType.RESPONSE_DONE.equals(eventType)) {
System.out.println("Response complete");
} else if (ServerEventType.ERROR.equals(eventType)) {
if (event instanceof SessionUpdateError) {
SessionUpdateError errorEvent = (SessionUpdateError) event;
System.err.println("Error: " + errorEvent.getError().getMessage());
}
}
});// Available: ALLOY, ASH, BALLAD, CORAL, ECHO, SAGE, SHIMMER, VERSE
VoiceLiveSessionOptions options = new VoiceLiveSessionOptions()
.setVoice(BinaryData.fromObject(new OpenAIVoice(OpenAIVoiceName.ALLOY)));// Azure Standard Voice
options.setVoice(BinaryData.fromObject(new AzureStandardVoice("en-US-JennyNeural")));
// Azure Custom Voice
options.setVoice(BinaryData.fromObject(new AzureCustomVoice("myVoice", "endpointId")));
// Azure Personal Voice
options.setVoice(BinaryData.fromObject(
new AzurePersonalVoice("speakerProfileId", PersonalVoiceModels.PHOENIX_LATEST_NEURAL)));VoiceLiveFunctionDefinition weatherFunction = new VoiceLiveFunctionDefinition("get_weather")
.setDescription("Get current weather for a location")
.setParameters(BinaryData.fromObject(parametersSchema));
VoiceLiveSessionOptions options = new VoiceLiveSessionOptions()
.setTools(Arrays.asList(weatherFunction))
.setInstructions("You have access to weather information.");setInterruptResponse(true)session.receiveEvents()
.doOnError(error -> System.err.println("Connection error: " + error.getMessage()))
.onErrorResume(error -> {
// Attempt reconnection or cleanup
return Flux.empty();
})
.subscribe();© microsoft, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 1 other file (references) in .github/plugins/azure-sdk-java/skills/azure-ai-voicelive-java of microsoft/skills.
Open the folder on GitHubat commit 354361d
We found 20 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.
Azure AI Voicelive 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Azure AI Voicelive Java this skillmicrosoft/skills | 3.1k | 6 repos | ~2k | Automated safety check: Pass | MIT | |
| Tiger Brokers Java SDKqusong0627/QuantMind | 1.7k | — | ~1.2k | Automated safety check: Pass | Apache-2.0 | |
| Tinystruct Patternsaffaan-m/ECC | 275k | 1 repos | ~3k | Automated safety check: Pass | MIT | |
| Ak Cloud Deployyaalalabs/agent-kernel | 191 | — | ~14k | Automated safety check: Pass | Apache-2.0 | |
| Azure Web PubsubMicrosoftDocs/Agent-Skills | 777 | — | ~4.2k | Automated safety check: Pass | CC-BY-4.0 | |
| Azsdk Common Generate SDK LocallyAzure/azure-sdk-for-android | 121 | — | ~1.5k | Automated safety check: Pass | MIT |
qusong0627/QuantMind
Reference guides for the Tiger Brokers OpenAPI Java SDK: setup, market data, stock, futures and options trading, real-time push, account queries and strategy examples.
affaan-m/ECC
Expert guidance for developing with the tinystruct Java framework.
yaalalabs/agent-kernel
Deploy an Agent Kernel project to AWS, Azure, or GCP using Terraform modules, or to any Kubernetes cluster (on-prem, baremetal, EKS) using the official Helm chart.
MicrosoftDocs/Agent-Skills
Expert knowledge for Azure Web PubSub development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations &…
Azure/azure-sdk-for-android
Generate, build, and test Azure SDKs locally from TypeSpec with automatic customization.
MicrosoftDocs/Agent-Skills
Expert knowledge for Azure AI Immersive Reader development including best practices, limits & quotas, security, configuration, and integrations & coding patterns.
microsoft/skills
Reference for building on Microsoft Foundry with the azure-ai-projects Python SDK: project clients, versioned agents, evaluations, connections, datasets and indexes.
microsoft/skills
Python guidance for the Azure AI Search SDK covering vector, hybrid and semantic search, index management and indexers, with Entra ID authentication preferred over keys.
microsoft/skills
Covers producer, consumer, and checkpoint-store setup for Azure Event Hubs streaming in Python, with Entra ID auth and partition targeting.
microsoft/skills
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microsoft/skills
Captures and filters Windows user-mode and kernel debug output from the command line with the Sysinternals DebugView CLI, including bounded runs suited to agents.
microsoft/skills
Build dark-themed React applications using Tailwind CSS with custom theming, glassmorphism effects, and Framer Motion animations.
Works with
Categories
Azure AI VoiceLive SDK for Java. An agent skill from microsoft/skills. Azure AI Voicelive Java is an agent skill from microsoft/skills, published by the product's own GitHub organization. Azure AI VoiceLive SDK for Java.
Azure AI Voicelive Java fits situations like: tasks that involve Realtime and WebSockets.
Run `npx skills add microsoft/skills --skill azure-ai-voicelive-java -a claude-code`. Or copy the skill folder (.github/plugins/azure-sdk-java/skills/azure-ai-voicelive-java in microsoft/skills) into .claude/skills/azure-ai-voicelive-java in your project. Claude Code loads it when a task matches its description.
Run `npx skills add microsoft/skills --skill azure-ai-voicelive-java -a codex`. Or copy the skill folder (.github/plugins/azure-sdk-java/skills/azure-ai-voicelive-java in microsoft/skills) into .agents/skills/azure-ai-voicelive-java in your project. Codex loads it when a task matches its description.
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-voicelive-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-voicelive-java, .gemini/skills/azure-ai-voicelive-java, .github/skills/azure-ai-voicelive-java and .opencode/skills/azure-ai-voicelive-java in your project.
Going by SKILL.md and its folder, Azure AI Voicelive Java needs credentials named AZURE_VOICELIVE_API_KEY and AZURE_TOKEN_CREDENTIALS. Our summary lists: A credential in AZURE_VOICELIVE_API_KEY.
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.
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.
Azure AI Voicelive Java is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 2k tokens (SKILL.md is roughly 8.1k 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 6.2k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Azure AI Voicelive Java: Tiger Brokers Java SDK (qusong0627/QuantMind, 1.7k stars), Tinystruct Patterns (affaan-m/ECC, 275k stars), Ak Cloud Deploy (yaalalabs/agent-kernel, 191 stars) and Azure Web Pubsub (MicrosoftDocs/Agent-Skills, 777 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
microsoft (a GitHub organization, an official publisher) maintains it in microsoft/skills, which has 3,091 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.