Agent Skill · 云服务

azure-document-intelligence（Azure document intelligence 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-document-intelligence 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，第三方扫描已通过，按安装量在云服务类的 479 个 Skill 里排第 256。

总安装 1,042周安装 43GitHub Stars 519下载 341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通过 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-document-intelligence（Azure document intelligence 部署）
来源仓库：https://github.com/microsoftdocs/agent-skills
仓库路径：skills/azure-document-intelligence
安装命令：
npx skills add https://github.com/microsoftdocs/agent-skills --skill azure-document-intelligence
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-document-intelligence

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。

指导使用 Document Intelligence 提取发票、合同等结构化数据。适用于 OCR 精度调优、表单字段识别模型训练及自定义分类器部署。支持预构建模板与完全自定义模型的混合使用场景。调用 read_file 查阅各服务层级的费率与吞吐量限制说明。处理敏感文档时应启用客户管理密钥(CMK)加密传输链路。

来源仓库内路径：skills/azure-document-intelligence

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-docum…；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-document-intelligence 怎么安装？

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

azure-document-intelligence 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-document-intelligence 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-document-intelligence 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-document-intelligence 用的人多吗？

公开数据是累计安装 1,042 次，近一周安装 43 次，下载 341 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-document-intelligence 安全吗？

第三方扫描结果为通过，但这只覆盖已知的静态检查项，不能替代自己读一遍源码和安装命令。

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。
第三方扫描已通过，常见的高风险行为没有命中。

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-document-intelligence Azure document intelligence 部署 · 本页	1,042	519	调用外部服务	未明确	通过

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 Document Intelligence Skill

This skill provides expert guidance for Azure AI Document Intelligence. 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-L43	Diagnosing and fixing Document Intelligence issues: latency/performance problems, service error codes and meanings, and known Foundry-specific bugs and workarounds.
Best Practices	L44-L54	Improving custom model accuracy and confidence, labeling and table-tagging best practices, training/classification workflows, and managing the full Document Intelligence model lifecycle
Decision Making	L55-L61	Choosing the right Document Intelligence model, understanding version changes, and migrating or updating apps to API v3.1 based on changelog and migration guidance
Architecture & Design Patterns	L62-L66	Guidance on designing disaster recovery, redundancy, and failover strategies for Azure AI Document Intelligence models and deployments.
Limits & Quotas	L67-L76	Quotas, rate limits, capacity add-ons, batch processing scale, and supported languages/locales for OCR, prebuilt, and custom Document Intelligence models.
Security	L77-L84	Securing Document Intelligence: creating SAS tokens, configuring data-at-rest encryption, and using managed identities and VNets to lock down access to resources.
Configuration	L85-L90	Configuring Document Intelligence containers and building, training, and composing custom models for tailored document processing workflows.
Integrations & Coding Patterns	L91-L100	Using SDKs/REST to call Document Intelligence, handle AnalyzeDocument/Markdown outputs, and integrate with apps, Azure Functions, and Logic Apps for end‑to‑end document workflows
Deployment	L101-L107	Deploying Document Intelligence via Docker/containers, including image tags, offline/disconnected setups, and installing/running the service and sample labeling tool.

Troubleshooting

Topic	URL
Troubleshoot Azure Document Intelligence latency issues	https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/concept/troubleshoot-latency?view=doc-intel-4.0.0
Interpret and resolve Document Intelligence error codes	https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/how-to-guides/resolve-errors?view=doc-intel-4.0.0
Resolve known Azure Document Intelligence Foundry issues	https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/reference/known-issues?view=doc-intel-4.0.0

Best Practices

Topic	URL
Improve Document Intelligence accuracy and confidence scores	https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/concept/accuracy-confidence?view=doc-intel-4.0.0
Train custom document classification models	https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/how-to-guides/build-a-custom-classifier?view=doc-intel-4.0.0
Build and train custom Document Intelligence models	https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/how-to-guides/build-a-custom-model?view=doc-intel-4.0.0
Use labeling tips to optimize Document Intelligence custom models	https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/train/custom-label-tips?view=doc-intel-4.0.0
Apply best practices for labeling Document Intelligence training data	https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/train/custom-labels?view=doc-intel-4.0.0
Manage Azure Document Intelligence custom model lifecycle	https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/train/custom-lifecycle?view=doc-intel-4.0.0
Use supervised table tags for custom template models	https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/v21/supervised-table-tags?view=doc-intel-2.1.0

Decision Making

Topic	URL
Select the right Document Intelligence model for workflows	https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/concept/choose-model-feature?view=doc-intel-4.0.0
Use Document Intelligence changelog and migration guidance	https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/versioning/changelog-release-history?view=doc-intel-4.0.0
Migrate Document Intelligence apps to API v3.1	https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/versioning/v3-1-migration-guide?view=doc-intel-4.0.0

Architecture & Design Patterns

Topic	URL
Design disaster recovery for Document Intelligence models	https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/how-to-guides/disaster-recovery?view=doc-intel-4.0.0

Limits & Quotas

Topic	URL
Increase Document Intelligence capacity with add-ons	https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/concept/add-on-capabilities?view=doc-intel-4.0.0
Review language support for Document Intelligence custom models	https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/language-support/custom?view=doc-intel-4.0.0
Check OCR language and locale support for Read/Layout	https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/language-support/ocr?view=doc-intel-4.0.0
Review language support for Document Intelligence prebuilt models	https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/language-support/prebuilt?view=doc-intel-4.0.0
Run batch document analysis at scale	https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/prebuilt/batch-analysis?view=doc-intel-4.0.0
Understand Document Intelligence quotas, limits, and throttling	https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/service-limits?view=doc-intel-4.0.0

Security

Topic	URL
Create SAS tokens for Document Intelligence storage	https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/authentication/create-sas-tokens?view=doc-intel-4.0.0
Configure data-at-rest encryption for Document Intelligence	https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/authentication/encrypt-data-at-rest?view=doc-intel-4.0.0
Secure Document Intelligence with managed identities and VNets	https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/authentication/managed-identities-secured-access?view=doc-intel-4.0.0
Configure managed identities for Document Intelligence	https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/authentication/managed-identities?view=doc-intel-4.0.0

Configuration

Topic	URL
Configure Azure Document Intelligence containers	https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/containers/configuration?view=doc-intel-4.0.0
Create and compose Document Intelligence custom models	https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/how-to-guides/compose-custom-models?view=doc-intel-4.0.0

Integrations & Coding Patterns

Topic	URL
Use AnalyzeDocument API response objects effectively	https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/concept/analyze-document-response?view=doc-intel-4.0.0
Consume Document Intelligence Markdown layout output	https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/concept/markdown-elements?view=doc-intel-4.0.0
Call Document Intelligence models from applications	https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/how-to-guides/use-sdk-rest-api?view=doc-intel-4.0.0
Integrate Document Intelligence via SDKs and REST	https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/quickstarts/get-started-sdks-rest-api?view=doc-intel-4.0.0
Process documents with Azure Functions and Document Intelligence	https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/tutorial/azure-function?view=doc-intel-4.0.0
Integrate Document Intelligence with Azure Logic Apps	https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/tutorial/logic-apps?view=doc-intel-4.0.0

Deployment

Topic	URL
Run Document Intelligence containers in disconnected environments	https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/containers/disconnected?view=doc-intel-4.0.0
Use Document Intelligence container image tags and releases	https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/containers/image-tags?view=doc-intel-4.0.0
Install and run Document Intelligence Docker containers	https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/containers/install-run?view=doc-intel-4.0.0
Deploy the Document Intelligence Sample Labeling tool	https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/v21/deploy-label-tool?view=doc-intel-2.1.0

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

33.6%

按下载量换算115

Claude

27.64%

按下载量换算94

Cursor

20.91%

按下载量换算71

Gemini CLI

9.52%

按下载量换算32

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

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。目前只有一个公开来源，建议同时核对源仓库。

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