Agent Skill · 云服务

azure-speech（Azure speech 部署）

用于辅助云资源、部署、容器、基础设施和运维自动化任务。它适合让 Agent 检查配置、整理部署步骤、分析资源状态、生成排障思路或辅助云服务接入。使用时需要明确目标环境、账号权限、区域和资源组，区分本地测试与生产操作；涉及删除资源、重启服务、修改网络或权限配置时，应先确认影响范围。

azure-speech 是云服务类 Agent Skill，可用宿主为 Codex、Claude、Cursor、Gemini CLI，通过GitHub 仓库获取，权限为调用外部服务；许可证信息还不明确，第三方扫描有提醒项，按安装量在云服务类的 479 个 Skill 里排第 251。

总安装 1,080周安装 45GitHub Stars 519下载 360核验 2026-05-01

云服务调用外部服务 GitHub 仓库未标认证来源可访问许可证需确认审计提醒 Codex Claude Cursor Gemini CLI

安装说明

本站只整理中文说明，不托管安装包，也不代用户安装。

GitHub

许可证: unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手，先确认命令和权限，再让它执行。

请帮我安装这个 Agent Skill：azure-speech（Azure speech 部署）
来源仓库：https://github.com/microsoftdocs/agent-skills
仓库路径：skills/azure-speech
安装命令：
npx skills add https://github.com/microsoftdocs/agent-skills --skill azure-speech
安装前请先检查当前环境是否支持对应 CLI，并向我确认将要执行的命令、安装目录、联网范围和文件读写权限；确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill；本站只展示命令，不托管安装包，也不自动执行。

skills.shnpx skills

npx skills add https://github.com/microsoftdocs/agent-skills --skill azure-speech

这个 Skill 是做什么的

云服务类 Skill 对接各家云平台的接口，用来查询资源、估算成本和执行变更。

提供 Azure AI Speech 服务的集成与优化指导，涵盖语音识别与合成。适用于构建语音助手、会议转录或文本转语音播报等智能交互产品。协助选择语言模型、优化声学参数并处理长音频分段上传逻辑。需申请 Speech 资源并获取密钥，注意免费额度有限，生产环境应启用身份验证。

azure-speech 属于云服务类 Skill，可作为该场景下的辅助能力补充。

来源仓库内路径：skills/azure-speech

上手步骤

4 步

1
确认自己的宿主工具
公开资料标注支持 Codex、Claude、Cursor、Gemini CLI；先确认自己用的是其中之一，再按对应工具的 Skills 目录放置。
2
拿到安装命令
可以直接复制的命令是 npx skills add https://github.com/microsoftdocs/agent-skills --skill azure-speec…；命令里的占位符换成自己的路径或密钥再执行。
3
安装后重启宿主
命令执行完要完全退出宿主工具再打开，让新装的 Skill 被重新扫描到，否则列表里可能看不到。
4
按最小权限试用
它需要调用外部服务，先在测试目录或测试账号里跑，确认没问题再放到正式项目。

常见问题

6 条

azure-speech 怎么安装？

在终端执行 npx skills add https://github.com/microsoftdocs/agent-skills --skill azure-speech。装完完全退出宿主工具再打开，让它重新扫描本地 Skill。

azure-speech 支持哪些 AI 工具？

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录，一般也能手动放进去，但要自己确认触发方式是否一致。

azure-speech 需要什么权限？

权限级别是调用外部服务。该 Skill 可能调用第三方服务、云服务或外部模型 API，使用前需要确认账号、额度、数据发送范围和服务条款。

azure-speech 是免费的吗？

公开资料没有标注明确许可证，收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

azure-speech 用的人多吗？

公开数据是累计安装 1,080 次，近一周安装 45 次，下载 360 次，GitHub 519 星。这些数字来自第三方目录统计，只能当作热度参考，不代表质量或安全性。

azure-speech 安全吗？

第三方扫描有提醒项，说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

同时适配 4 种工具，换客户端不用重新找替代品。

先想清楚的地方

许可证没有明确标注，能不能商用、能不能再分发都不确定。
第三方扫描存在提醒项或未通过项，需要人工逐条确认。
第三方目录整理，版本更新和行为细节以来源仓库为准。

适不适合你

更适合

已经在用 Codex，想直接扩展它能力的人。
需要处理云服务类任务、又不想每次都手写提示词的人。

不太适合

需要明确授权才能用到公司项目里的场景。
需要厂商级技术支持和 SLA 的生产系统。

云服务类 Skill 对比

6 个同类

Skill	总安装	GitHub 星	权限	许可证	扫描
azure-deploy Azure 部署 · Codex、Claude	6,641,856	764	调用外部服务	未明确	通过
azure-diagnostics Azure diagnostics 问题管理 · Codex、Claude	6,575,520	764	调用外部服务	未明确	通过
azure-aigateway Azure aigateway 部署 · Codex、Claude	6,553,272	764	调用外部服务	未明确	有提醒
azure-ai Azure AI 搜索 · Codex、Claude	6,514,128	764	调用外部服务	未明确	通过
azure-cloud-migrate Azure Cloud migrate 部署 · Codex、Claude	6,506,784	764	调用外部服务	未明确	有提醒
azure-speech Azure speech 部署 · 本页	1,080	519	调用外部服务	未明确	有提醒

按安装量取同分类前几名；数字来自第三方目录统计，只作热度参考，不代表质量结论。

SKILL.md 原文

Azure AI Speech Skill

This skill provides expert guidance for Azure AI Speech. Covers troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. It combines local quick-reference content with remote documentation fetching capabilities.

How to Use This Skill

IMPORTANT for Agent: Use the Category Index below to locate relevant sections. For categories with line ranges (e.g., L35-L120), use read_file with the specified lines. For categories with file links (e.g., [security.md](security.md)), use read_file on the linked reference file

IMPORTANT for Agent: If metadata.generated_at is more than 3 months old, suggest the user pull the latest version from the repository. If mcp_microsoftdocs tools are not available, suggest the user install it: Installation Guide

This skill requires network access to fetch documentation content:

Preferred: Use mcp_microsoftdocs:microsoft_docs_fetch with query string from=learn-agent-skill. Returns Markdown.
Fallback: Use fetch_webpage with query string from=learn-agent-skill&accept=text/markdown. Returns Markdown.

Category Index

Category	Lines	Description
Troubleshooting	L37-L47	Diagnosing and fixing common Azure Speech/Text-to-Speech/Voice Live API and SDK errors, container and Foundry issues, CRL/compatibility problems, and retrieving session/transcription IDs for support.
Best Practices	L48-L64	Best practices for audio/video prep, custom voice/avatars, latency and memory tuning, phrase/keyword optimization, and handling real-time Voice Live interactions and interruptions
Decision Making	L65-L82	Guidance on choosing speech features (batch STT, custom/embedded/personal/Whisper), evaluating models/devices, and step‑by‑step migration between Speech API versions and services
Architecture & Design Patterns	L83-L87	Architectural guidance for building call center voice agents using Azure AI Speech with Voice Live and Azure Communication Services, including integration patterns and design best practices.
Limits & Quotas	L88-L96	Quotas, limits, and usage patterns for Azure Speech: batch TTS, custom/pro voice training & deployment, and short audio STT, plus throttling and capacity planning guidance.
Security	L97-L108	Configuring security for Azure AI Speech: auth (Entra, RBAC), network isolation (VNet, Private Link, sovereign clouds), BYOS storage, encryption/keys, and voice talent consent management.
Configuration	L109-L143	Configuring Azure AI Speech/Voice: audio inputs, logging, storage, SSML, languages/voices, custom speech & voice training, batch/real-time settings, and Voice Live/avatars options.
Integrations & Coding Patterns	L144-L168	Patterns and APIs for integrating Azure Speech into apps and voice agents: telephony, SDK/REST, TTS/avatars, translation, OpenAI/Foundry, Voice Live, consent, and automation workflows.
Deployment	L169-L180	Deploying and scaling Azure AI Speech: Docker/Kubernetes containers, on-prem STT/TTS, custom speech models/endpoints, language ID, and batch/long-form synthesis workflows.

Troubleshooting

Topic	URL
Troubleshoot common Azure text to speech issues	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/faq-tts
Retrieve Speech to text session and transcription IDs for support	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/how-to-get-speech-session-id
Resolve common Azure Speech in Foundry issues	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/known-issues
Resolve Azure AI Speech SDK CRL compatibility issues	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/migrate-to-sdk-1-48-2
Troubleshoot Speech service container deployments	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/speech-container-faq
Troubleshoot common Azure Speech SDK issues	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/troubleshooting
Resolve common Voice Live API issues in Speech	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/voice-live-faq

Best Practices

Topic	URL
Prepare and locate audio data for batch transcription	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/batch-transcription-audio-data
Create high-quality human-labeled speech transcriptions	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/how-to-custom-speech-human-labeled-transcriptions
Prepare training data for professional custom voice	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/how-to-custom-voice-training-data
Apply best practices to reduce Speech synthesis latency	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/how-to-lower-speech-synthesis-latency
Track and manage Azure Speech SDK memory usage	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/how-to-track-speech-sdk-memory-usage
Handle user interruptions and chat truncation in Voice Live	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/how-to-voice-live-auto-truncation
Use interim responses in Voice Live to reduce latency gaps	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/how-to-voice-live-interim-response
Improve speech recognition with phrase lists	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/improve-accuracy-phrase-list
Apply keyword recognition design and accuracy guidelines	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/keyword-recognition-guidelines
Record high-quality samples for custom voice training	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/record-custom-voice-samples
Back up and recover custom Speech and Voice resources	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/resiliency-and-recovery-plan
Design microphone arrays optimized for Speech SDK	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/speech-sdk-microphone
Prepare high-quality video samples for custom avatars	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/text-to-speech-avatar/custom-avatar-record-video-samples

Decision Making

Topic	URL
Plan large-scale transcription with batch processing	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/batch-transcription
Evaluate custom voice lite before professional voice	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/custom-neural-voice-lite
Choose Embedded Speech for offline and hybrid scenarios	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/embedded-speech
Evaluate device suitability for embedded speech models	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/embedded-speech-performance-evaluations
Evaluate and compare custom speech model accuracy	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/how-to-custom-speech-inspect-data
Migrate Speech to text REST API from v3.2 to 2024-11-15	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/migrate-2024-11-15
Migrate Speech to text REST API from 2024-11-15 to 2025-10-15	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/migrate-2025-10-15
Migrate from retired Speech intent recognition to Language or OpenAI	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/migrate-intent-recognition
Migrate from Long Audio API to Batch synthesis	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/migrate-to-batch-synthesis
Migrate from v3 text-to-speech to custom voice REST API	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/migrate-to-custom-voice-api
Migrate Speech-to-text REST from v3.0 to v3.1	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/migrate-v3-0-to-v3-1
Migrate Speech-to-text REST from v3.1 to v3.2	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/migrate-v3-1-to-v3-2
Assess capabilities and regions for personal voice	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/personal-voice-overview
Decide when to use Whisper for speech tasks	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/whisper-overview

Architecture & Design Patterns

Topic	URL
Design call center voice agents with Voice Live and ACS	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/voice-live-telephony

Limits & Quotas

Topic	URL
Manage custom speech model and endpoint lifecycle	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/how-to-custom-speech-model-and-endpoint-lifecycle
Deploy professional voice models to custom endpoints	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/professional-voice-deploy-endpoint
Train professional voice models and understand duration	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/professional-voice-train-voice
Use Speech-to-text REST API for short audio	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/rest-speech-to-text-short
Apply Azure Speech quotas, limits, and throttling guidance	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/speech-services-quotas-and-limits

Security

Topic	URL
Configure BYOS storage for Azure Speech resources	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/bring-your-own-storage-speech-resource
Configure Microsoft Entra authentication for Speech SDK	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/how-to-configure-azure-ad-auth
Manage voice talent consent for professional voice	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/professional-voice-create-consent
Assign Azure RBAC roles for Speech resources	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/role-based-access-control
Use Azure Speech service in sovereign clouds	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/sovereign-clouds
Manage Speech service data-at-rest encryption and keys	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/speech-encryption-of-data-at-rest
Secure Speech service with Virtual Network service endpoints	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/speech-service-vnet-service-endpoint
Secure Azure AI Speech with Private Link endpoints	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/speech-services-private-link

Configuration

Topic	URL
Configure Batch synthesis properties for text-to-speech	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/batch-synthesis-properties
Check status and retrieve batch transcription results	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/batch-transcription-get
Configure BYOS storage for Speech to text	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/bring-your-own-storage-speech-resource-speech-to-text
Define UPS phonetic pronunciations for Speech to text	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/customize-pronunciation
Configure OpenSSL on Linux for Azure Speech SDK	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/how-to-configure-openssl-linux
Control and monitor Speech SDK service connections	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/how-to-control-connections
Create and manage custom speech fine-tuning projects	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/how-to-custom-speech-create-project
Prepare and upload datasets for custom speech training	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/how-to-custom-speech-upload-data
Configure post-processing options for Speech recognition	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/how-to-post-processing
Configure real-time speech recognition inputs and options	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/how-to-recognize-speech
Select and configure audio input devices in Speech SDK	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/how-to-select-audio-input-devices
Use visemes for facial animation with Speech service	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/how-to-speech-synthesis-viseme
Configure Speech SDK audio input streams	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/how-to-use-audio-input-streams
Configure compressed audio input for Speech SDK and CLI	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/how-to-use-codec-compressed-audio-input-streams
Enable and configure Speech SDK diagnostic logging	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/how-to-use-logging
Check Azure Speech language and voice availability	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/language-support
Configure audio and transcription logging for Speech recognition	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/logging-audio-transcription
Upload and validate training datasets for professional voice	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/professional-voice-create-training-set
Use correct regional endpoints for Azure Speech	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/regions
Configure Speech containers storage, logging, and security	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/speech-container-configuration
Control speech output using SSML configuration	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/speech-synthesis-markup
Configure pronunciation with SSML phonemes and lexicons	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/speech-synthesis-markup-pronunciation
Structure SSML documents and events for Speech	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/speech-synthesis-markup-structure
Configure voice and sound using SSML in Speech	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/speech-synthesis-markup-voice
Configure Speech CLI datastore search order and files	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/spx-data-store-configuration
Configure output destinations for Speech CLI results	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/spx-output-options
Configure batch synthesis properties for TTS avatars	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/text-to-speech-avatar/batch-synthesis-avatar-properties
Reference Voice Live API events, models, and settings (2025-10-01)	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/voice-live-api-reference-2025-10-01
Reference Voice Live API events and settings (2026-01-01-preview)	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/voice-live-api-reference-2026-01-01-preview
Customize Voice Live input and output models	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/voice-live-how-to-customize
Configure language and locale for Voice Live API	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/voice-live-language-support

Integrations & Coding Patterns

Topic	URL
Integrate Speech service with call center telephony	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/call-center-telephony-integration
Call Azure Speech fast transcription API in Foundry	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/fast-transcription-create
Use Speech SDK APIs to handle recognition results	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/get-speech-recognition-results
Integrate custom models with Voice Live BYOM	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/how-to-bring-your-own-model
Implement text-to-speech synthesis with Speech SDK	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/how-to-speech-synthesis
Implement speech translation with Azure Speech SDK	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/how-to-translate-speech
Build real-time voice agents with Voice Live and Foundry Agent Service	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/how-to-voice-agent-integration
Connect MCP servers to Azure Voice Live sessions	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/how-to-voice-live-mcp-server
Add proactive greetings to Voice Live agents	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/how-to-voice-live-proactive-messages
Call the LLM-speech API for transcription and translation	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/llm-speech
Integrate Azure Speech with Azure OpenAI chat	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/openai-speech
Add and manage user consent for personal voice	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/personal-voice-create-consent
Create personal voice projects via Custom Voice API	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/personal-voice-create-project
Use Power Automate connector for Speech batch transcription	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/power-automate-batch-transcription
Use Speech to text REST API endpoints and parameters	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/rest-speech-to-text
Call Text-to-speech REST API for voice synthesis	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/rest-text-to-speech
Use SSML phonetic alphabets with Azure Speech	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/speech-ssml-phonetic-sets
Generate Speech service REST clients from Swagger	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/swagger-documentation
Control text to speech avatar gestures with SSML	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/text-to-speech-avatar/avatar-gestures-with-ssml
Implement real-time text-to-speech avatar streaming	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/text-to-speech-avatar/real-time-synthesis-avatar
Use Voice Live WebSocket events and properties	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/voice-live-how-to

Deployment

Topic	URL
Use Batch synthesis API for long-form text-to-speech	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/batch-synthesis
Deploy custom speech models and endpoints	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/how-to-custom-speech-deploy-model
Scale Speech containers with batch processing kit	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/speech-container-batch-processing
Run custom speech to text containers with Docker	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/speech-container-cstt
Deploy and run Speech containers with Docker	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/speech-container-howto
Run Speech containers on Kubernetes with Helm	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/speech-container-howto-on-premises
Deploy language identification containers with Docker	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/speech-container-lid
Deploy neural text to speech containers with Docker	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/speech-container-ntts
Deploy speech to text containers for on-premises use	https://learn.microsoft.com/en-us/azure/ai-services/speech-service/speech-container-stt

适合场景

Azure 资源规划

云服务升级

基础设施检查

企业云环境自动化

能力概览

能力 1

整理 Azure 服务操作流程

能力 2

提示 CLI/MCP 前置条件

能力 3

辅助云资源检查和规划

能力 4

保留官方服务来源线索

平台分布

Codex

32.62%

按下载量换算117

Claude

31.1%

按下载量换算112

Cursor

17.21%

按下载量换算62

Gemini CLI

9.13%

按下载量换算33

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

调用外部服务

该 Skill 可能调用第三方服务、云服务或外部模型 API，使用前需要确认账号、额度、数据发送范围和服务条款。

安装前确认

本站仅展示第三方公开信息，不托管安装包，不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项，安装前请自行复核。目前只有一个公开来源，建议同时核对源仓库。

继续浏览同类 Skills

更多云服务 Skills（479）返回 Skills 目录

上一个 Skill

azure-sovereign-us（Azure sovereign US 部署）

microsoftdocs/agent-skills

下一个 Skill

azure-speech-service（Azure speech service 自动化）

gora050/azure-speech-service