Arkcli Code Example
volcengine/ark-cli
arkcli +code-example:为指定基础模型生成多语言(Python / Go / Java / Node / curl)调用示例代码并写入本地文件。数据源是火山方舟 OpenTOP OpenGetSampleCode。当用户需要拿某个基础模型的 SDK / curl 调用示例、保存为本地接入模板时使用。反触发:TTS/ASR/语音模型没有 arkcli…
Build call automation workflows with Azure Communication Services Call Automation Java SDK.
$ npx skills add microsoft/skills --skill azure-communication-callautomation-java -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install microsoft/skills azure-communication-callautomation-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-communication-callautomation-java .claude/skills/azure-communication-callautomation-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-communication-callautomation-java" agent skill from https://github.com/microsoft/skills/tree/main/.github/plugins/azure-sdk-java/skills/azure-communication-callautomation-java into .claude/skills/azure-communication-callautomation-java/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-communication-callautomation-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-communication-callautomation-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-communication-callautomation-java -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install microsoft/skills azure-communication-callautomation-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-communication-callautomation-java .agents/skills/azure-communication-callautomation-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-communication-callautomation-java" agent skill from https://github.com/microsoft/skills/tree/main/.github/plugins/azure-sdk-java/skills/azure-communication-callautomation-java into .agents/skills/azure-communication-callautomation-java/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-communication-callautomation-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-communication-callautomation-java -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install microsoft/skills azure-communication-callautomation-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-communication-callautomation-java .cursor/skills/azure-communication-callautomation-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-communication-callautomation-java" agent skill from https://github.com/microsoft/skills/tree/main/.github/plugins/azure-sdk-java/skills/azure-communication-callautomation-java into .cursor/skills/azure-communication-callautomation-java/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-communication-callautomation-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-communication-callautomation-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-communication-callautomation-java -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install microsoft/skills azure-communication-callautomation-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-communication-callautomation-java .gemini/skills/azure-communication-callautomation-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-communication-callautomation-java" agent skill from https://github.com/microsoft/skills/tree/main/.github/plugins/azure-sdk-java/skills/azure-communication-callautomation-java into .gemini/skills/azure-communication-callautomation-java/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-communication-callautomation-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-communication-callautomation-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-communication-callautomation-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-communication-callautomation-java .github/skills/azure-communication-callautomation-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-communication-callautomation-java" agent skill from https://github.com/microsoft/skills/tree/main/.github/plugins/azure-sdk-java/skills/azure-communication-callautomation-java into .github/skills/azure-communication-callautomation-java/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-communication-callautomation-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-communication-callautomation-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-communication-callautomation-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-communication-callautomation-java .opencode/skills/azure-communication-callautomation-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-communication-callautomation-java" agent skill from https://github.com/microsoft/skills/tree/main/.github/plugins/azure-sdk-java/skills/azure-communication-callautomation-java into .opencode/skills/azure-communication-callautomation-java/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-communication-callautomation-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-communication-callautomation-javaBuild call automation workflows with Azure Communication Services Call Automation Java SDK.
Azure Communication Callautomation Java is an agent skill from microsoft/skills, published by the product's own GitHub organization. Build call automation workflows with Azure Communication Services Call Automation Java SDK. Use when implementing IVR systems, call routing, call recording, DTMF recognition, text-to-speech, or AI-powered call flows.
Its SKILL.md is about 2.3k 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 Media & Creative, covering Text to speech and voice and Workflow automation. It works with Azure Communication Services and Java. The repository describes itself as: Skills, MCP servers, Custom Agents, Agents.md for SDKs to ground Coding Agents. The licence is MIT.
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.comstorage.blob.core.windows.netFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
AZURE_TOKEN_CREDENTIALSFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Azure Communication Callautomation Java loads about 2.3k tokens when it runs, and up to ~6.4k if it reads all its reference files. Until then it costs about 64 tokens; SKILL.md has 124 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). 124 words, ~2,320 tokens.
.claude/skills/azure-communication-callautomation-java/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.Build server-side call automation workflows including IVR systems, call routing, recording, and AI-powered interactions.
<dependency>
<groupId>com.azure</groupId>
<artifactId>azure-communication-callautomation</artifactId>
<version>1.6.0</version>
</dependency>import com.azure.communication.callautomation.CallAutomationClient;
import com.azure.communication.callautomation.CallAutomationClientBuilder;
import com.azure.core.credential.TokenCredential;
import com.azure.identity.AzureIdentityEnvVars;
import com.azure.identity.DefaultAzureCredentialBuilder;
import com.azure.identity.ManagedIdentityCredentialBuilder;
// Local dev: DefaultAzureCredential. Production: set AZURE_TOKEN_CREDENTIALS=prod or AZURE_TOKEN_CREDENTIALS=<specific_credential>
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();
// With DefaultAzureCredential
CallAutomationClient client = new CallAutomationClientBuilder()
.endpoint("https://<resource>.communication.azure.com")
.credential(credential)
.buildClient();
// With connection string
CallAutomationClient client = new CallAutomationClientBuilder()
.connectionString("<connection-string>")
.buildClient();| Class | Purpose |
|---|---|
CallAutomationClient | Make calls, answer/reject incoming calls, redirect calls |
CallConnection | Actions in established calls (add participants, terminate) |
CallMedia | Media operations (play audio, recognize DTMF/speech) |
CallRecording | Start/stop/pause recording |
CallAutomationEventParser | Parse webhook events from ACS |
import com.azure.communication.callautomation.models.*;
import com.azure.communication.common.CommunicationUserIdentifier;
import com.azure.communication.common.PhoneNumberIdentifier;
// Call to PSTN number
PhoneNumberIdentifier target = new PhoneNumberIdentifier("+14255551234");
PhoneNumberIdentifier caller = new PhoneNumberIdentifier("+14255550100");
CreateCallOptions options = new CreateCallOptions(
new CommunicationUserIdentifier("<user-id>"), // Source
List.of(target)) // Targets
.setSourceCallerId(caller)
.setCallbackUrl("https://your-app.com/api/callbacks");
CreateCallResult result = client.createCall(options);
String callConnectionId = result.getCallConnectionProperties().getCallConnectionId();// From Event Grid webhook - IncomingCall event
String incomingCallContext = "<incoming-call-context-from-event>";
AnswerCallOptions options = new AnswerCallOptions(
incomingCallContext,
"https://your-app.com/api/callbacks");
AnswerCallResult result = client.answerCall(options);
CallConnection callConnection = result.getCallConnection();CallConnection callConnection = client.getCallConnection(callConnectionId);
CallMedia callMedia = callConnection.getCallMedia();
// Play text-to-speech
TextSource textSource = new TextSource()
.setText("Welcome to Contoso. Press 1 for sales, 2 for support.")
.setVoiceName("en-US-JennyNeural");
PlayOptions playOptions = new PlayOptions(
List.of(textSource),
List.of(new CommunicationUserIdentifier("<target-user>")));
callMedia.play(playOptions);
// Play audio file
FileSource fileSource = new FileSource()
.setUrl("https://storage.blob.core.windows.net/audio/greeting.wav");
callMedia.play(new PlayOptions(List.of(fileSource), List.of(target)));// Recognize DTMF tones
DtmfTone stopTones = DtmfTone.POUND;
CallMediaRecognizeDtmfOptions recognizeOptions = new CallMediaRecognizeDtmfOptions(
new CommunicationUserIdentifier("<target-user>"),
5) // Max tones to collect
.setInterToneTimeout(Duration.ofSeconds(5))
.setStopTones(List.of(stopTones))
.setInitialSilenceTimeout(Duration.ofSeconds(15))
.setPlayPrompt(new TextSource().setText("Enter your account number followed by pound."));
callMedia.startRecognizing(recognizeOptions);// Speech recognition with AI
CallMediaRecognizeSpeechOptions speechOptions = new CallMediaRecognizeSpeechOptions(
new CommunicationUserIdentifier("<target-user>"))
.setEndSilenceTimeout(Duration.ofSeconds(2))
.setSpeechLanguage("en-US")
.setPlayPrompt(new TextSource().setText("How can I help you today?"));
callMedia.startRecognizing(speechOptions);CallRecording callRecording = client.getCallRecording();
// Start recording
StartRecordingOptions recordingOptions = new StartRecordingOptions(
new ServerCallLocator("<server-call-id>"))
.setRecordingChannel(RecordingChannel.MIXED)
.setRecordingContent(RecordingContent.AUDIO_VIDEO)
.setRecordingFormat(RecordingFormat.MP4);
RecordingStateResult recordingResult = callRecording.start(recordingOptions);
String recordingId = recordingResult.getRecordingId();
// Pause/resume/stop
callRecording.pause(recordingId);
callRecording.resume(recordingId);
callRecording.stop(recordingId);
// Download recording (after RecordingFileStatusUpdated event)
callRecording.downloadTo(recordingUrl, Paths.get("recording.mp4"));CallConnection callConnection = client.getCallConnection(callConnectionId);
CommunicationUserIdentifier participant = new CommunicationUserIdentifier("<user-id>");
AddParticipantOptions addOptions = new AddParticipantOptions(participant)
.setInvitationTimeout(Duration.ofSeconds(30));
AddParticipantResult result = callConnection.addParticipant(addOptions);// Blind transfer
PhoneNumberIdentifier transferTarget = new PhoneNumberIdentifier("+14255559999");
TransferCallToParticipantResult result = callConnection.transferCallToParticipant(transferTarget);import com.azure.communication.callautomation.CallAutomationEventParser;
import com.azure.communication.callautomation.models.events.*;
// In your webhook endpoint
public void handleCallback(String requestBody) {
List<CallAutomationEventBase> events = CallAutomationEventParser.parseEvents(requestBody);
for (CallAutomationEventBase event : events) {
if (event instanceof CallConnected) {
CallConnected connected = (CallConnected) event;
System.out.println("Call connected: " + connected.getCallConnectionId());
} else if (event instanceof RecognizeCompleted) {
RecognizeCompleted recognized = (RecognizeCompleted) event;
// Handle DTMF or speech recognition result
DtmfResult dtmfResult = (DtmfResult) recognized.getRecognizeResult();
String tones = dtmfResult.getTones().stream()
.map(DtmfTone::toString)
.collect(Collectors.joining());
System.out.println("DTMF received: " + tones);
} else if (event instanceof PlayCompleted) {
System.out.println("Audio playback completed");
} else if (event instanceof CallDisconnected) {
System.out.println("Call ended");
}
}
}// Hang up for all participants
callConnection.hangUp(true);
// Hang up only this leg
callConnection.hangUp(false);import com.azure.core.exception.HttpResponseException;
try {
client.answerCall(options);
} catch (HttpResponseException e) {
if (e.getResponse().getStatusCode() == 404) {
System.out.println("Call not found or already ended");
} else if (e.getResponse().getStatusCode() == 400) {
System.out.println("Invalid request: " + e.getMessage());
}
}AZURE_COMMUNICATION_ENDPOINT=https://<resource>.communication.azure.com # Required for all auth methods
AZURE_COMMUNICATION_CONNECTION_STRING=endpoint=https://...;accesskey=... # Alternative to Entra ID auth
CALLBACK_BASE_URL=https://your-app.com/api/callbacks # Required for webhook callbacks
AZURE_TOKEN_CREDENTIALS=prod # Required only if DefaultAzureCredential is used in production© 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-communication-callautomation-java of microsoft/skills.
Open the folder on GitHubat commit 354361d
We found 14 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 5 other GitHub owners. This page covers the copy in microsoft/skills, which our catalogue first saw on October 7, 2026.
Azure Communication Callautomation 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 Communication Callautomation Java this skillmicrosoft/skills | 3.1k | 5 repos | ~2.3k | Automated safety check: Pass | MIT | |
| Arkcli Code Examplevolcengine/ark-cli | 140 | — | ~743 | Automated safety check: Pass | Apache-2.0 | |
| Telnyx Voice Media Javateam-telnyx/ai | 220 | — | ~4.9k | Automated safety check: Pass | MIT | |
| Making Demo Videosnukeop/nuclear | 19k | — | ~892 | Automated safety check: Pass | AGPL-3.0 | |
| Vox DirectorAlisa0808/vox-director | 2.2k | — | ~5.6k | Automated safety check: Pass | MIT | |
| Video Podcast MakerAgents365-ai/video-podcast-maker | 1.7k | — | ~4.9k | Automated safety check: Pass | MIT |
volcengine/ark-cli
arkcli +code-example:为指定基础模型生成多语言(Python / Go / Java / Node / curl)调用示例代码并写入本地文件。数据源是火山方舟 OpenTOP OpenGetSampleCode。当用户需要拿某个基础模型的 SDK / curl 调用示例、保存为本地接入模板时使用。反触发:TTS/ASR/语音模型没有 arkcli…
team-telnyx/ai
Play audio files, use text-to-speech, and record calls. An agent skill from team-telnyx/ai.
nukeop/nuclear
A skill your agent uses when making a demo, tutorial, or feature video of Nuclear.
Alisa0808/vox-director
Turn ONE topic into a finished Vox-style paper-collage explainer / ad video, end to end on the Atlas Cloud API + local ffmpeg — script, collage keyframes, motion, voice-over, music, captions, all…
Agents365-ai/video-podcast-maker
A skill your agent uses when the user gives a topic and wants an automated topic-driven narrated explainer, podcast, or knowledge-summary video (Bilibili / YouTube / Xiaohongshu / Douyin / WeChat…
tadaspetra/loop
Generate music using ElevenLabs Music API. An agent skill from tadaspetra/loop.
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
Create Pydantic models following the multi-model pattern with Base, Create, Update, Response, and InDB variants.
microsoft/skills
Builds podcast-style audio narration from text with Azure OpenAI's GPT Realtime Mini over WebSocket, from a Python FastAPI backend to a React player.
microsoft/skills
Build dark-themed React applications using Tailwind CSS with custom theming, glassmorphism effects, and Framer Motion animations.
Works with
Categories
Build call automation workflows with Azure Communication Services Call Automation Java SDK. Azure Communication Callautomation Java is an agent skill from microsoft/skills, published by the product's own GitHub organization. Build call automation workflows with Azure Communication Services Call Automation Java SDK.
Azure Communication Callautomation Java fits situations like: implementing IVR systems; DTMF recognition; AI-powered call flows.
Run `npx skills add microsoft/skills --skill azure-communication-callautomation-java -a claude-code`. Or copy the skill folder (.github/plugins/azure-sdk-java/skills/azure-communication-callautomation-java in microsoft/skills) into .claude/skills/azure-communication-callautomation-java in your project. Claude Code loads it when a task matches its description.
Run `npx skills add microsoft/skills --skill azure-communication-callautomation-java -a codex`. Or copy the skill folder (.github/plugins/azure-sdk-java/skills/azure-communication-callautomation-java in microsoft/skills) into .agents/skills/azure-communication-callautomation-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-communication-callautomation-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-communication-callautomation-java, .gemini/skills/azure-communication-callautomation-java, .github/skills/azure-communication-callautomation-java and .opencode/skills/azure-communication-callautomation-java in your project.
Going by SKILL.md and its folder, Azure Communication Callautomation Java needs credentials named AZURE_TOKEN_CREDENTIALS.
SKILL.md names 2 domains. In commands or code: learn.microsoft.com and storage.blob.core.windows.net; the agent is likely to contact these when it follows the instructions. 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 Communication Callautomation 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 2.3k tokens (SKILL.md is roughly 9.3k 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 4.1k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Azure Communication Callautomation Java: Arkcli Code Example (volcengine/ark-cli, 140 stars), Telnyx Voice Media Java (team-telnyx/ai, 220 stars), Making Demo Videos (nukeop/nuclear, 19k stars) and Vox Director (Alisa0808/vox-director, 2.2k 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 3,086 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.