Azure AI
microsoft/GitHub-Copilot-for-Azure
A skill your agent uses for Azure AI: Search, Speech, OpenAI, Document Intelligence.
Expert knowledge for Azure AI Video Indexer development including troubleshooting, best practices, decision making, limits & quotas, security, configuration, integrations & coding patterns, and…
$ npx skills add MicrosoftDocs/Agent-Skills --skill azure-video-indexer -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install MicrosoftDocs/Agent-Skills azure-video-indexer --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/MicrosoftDocs/Agent-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/azure-video-indexer .claude/skills/azure-video-indexer && 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-video-indexer" agent skill from https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-video-indexer into .claude/skills/azure-video-indexer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-video-indexer", 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/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-video-indexerType 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 MicrosoftDocs/Agent-Skills --skill azure-video-indexer -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install MicrosoftDocs/Agent-Skills azure-video-indexer --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/MicrosoftDocs/Agent-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/azure-video-indexer .agents/skills/azure-video-indexer && 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-video-indexer" agent skill from https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-video-indexer into .agents/skills/azure-video-indexer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-video-indexer", 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 MicrosoftDocs/Agent-Skills --skill azure-video-indexer -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install MicrosoftDocs/Agent-Skills azure-video-indexer --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/MicrosoftDocs/Agent-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/azure-video-indexer .cursor/skills/azure-video-indexer && 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-video-indexer" agent skill from https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-video-indexer into .cursor/skills/azure-video-indexer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-video-indexer", 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/MicrosoftDocs/Agent-Skills.git --path skills/azure-video-indexer--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 MicrosoftDocs/Agent-Skills --skill azure-video-indexer -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install MicrosoftDocs/Agent-Skills azure-video-indexer --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/MicrosoftDocs/Agent-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/azure-video-indexer .gemini/skills/azure-video-indexer && 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-video-indexer" agent skill from https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-video-indexer into .gemini/skills/azure-video-indexer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-video-indexer", 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 MicrosoftDocs/Agent-Skills azure-video-indexerInstalls 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 MicrosoftDocs/Agent-Skills --skill azure-video-indexer -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/MicrosoftDocs/Agent-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/azure-video-indexer .github/skills/azure-video-indexer && 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-video-indexer" agent skill from https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-video-indexer into .github/skills/azure-video-indexer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-video-indexer", 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 MicrosoftDocs/Agent-Skills --skill azure-video-indexer -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install MicrosoftDocs/Agent-Skills azure-video-indexer --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/MicrosoftDocs/Agent-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/azure-video-indexer .opencode/skills/azure-video-indexer && 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-video-indexer" agent skill from https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-video-indexer into .opencode/skills/azure-video-indexer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-video-indexer", 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-video-indexerExpert knowledge for Azure AI Video Indexer development including troubleshooting, best practices, decision making, limits & quotas, security, configuration, integrations & coding patterns, and…
Azure Video Indexer is an agent skill from MicrosoftDocs/Agent-Skills, published by the product's own GitHub organization. Expert knowledge for Azure AI Video Indexer development including troubleshooting, best practices, decision making, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when configuring live camera analysis, custom AI insights, OpenAI summaries, Video Indexer APIs, or face redaction, and other Azure AI Video Indexer related development tasks. Not for Azure AI Vision (use azure-ai-vision), Azure AI Search (use azure-cognitive-search).
Its SKILL.md is about 2.4k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts. Compatibility notes: Requires network access. Uses mcpmicrosoftdocs:microsoftdocsfetch or fetchwebpage to retrieve documentation.
It sits in DevOps & Cloud, covering AI video generation. It works with Microsoft Azure, Azure AI Search, Azure AI Vision and OpenAI. The repository describes itself as: Curated Agent Skills for Microsoft & Azure – giving AI coding assistants structured, real-time expertise from Microsoft Learn docs. The licence is CC-BY-4.0.
Read from SKILL.md and the folder at commit ba74e8f. 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.
From the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
learn.microsoft.comgithub.comFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Requires network access. Uses mcp_microsoftdocs:microsoft_docs_fetch or fetch_webpage to retrieve documentation.
From compatibility in the SKILL.md frontmatter.
Azure Video Indexer loads about 2.4k tokens when it runs. Until then it costs about 125 tokens; SKILL.md has 687 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 MicrosoftDocs/Agent-Skills at commit ba74e8f, republished under its CC-BY-4.0 licence (© MicrosoftDocs). 687 words, ~2,356 tokens.
.claude/skills/azure-video-indexer/SKILL.md (or your agent's skills folder).This skill provides expert guidance for Azure AI Video Indexer. Covers troubleshooting, best practices, decision making, limits & quotas, security, configuration, integrations & coding patterns, and deployment. It combines local quick-reference content with remote documentation fetching capabilities.
IMPORTANT for Agent: Use the Category Index below to locate relevant sections. For categories with line ranges (e.g.,
L35-L120), useread_filewith the specified lines. For categories with file links (e.g.,[security.md](security.md)), useread_fileon the linked reference file
IMPORTANT for Agent: If
metadata.generated_atis more than 3 months old, suggest the user pull the latest version from the repository. Ifmcp_microsoftdocstools are not available, suggest the user install it: Installation Guide
This skill requires network access to fetch documentation content:
mcp_microsoftdocs:microsoft_docs_fetch with query string from=learn-agent-skill. Returns Markdown.fetch_webpage with query string from=learn-agent-skill&accept=text/markdown. Returns Markdown.| Category | Lines | Description |
|---|---|---|
| Troubleshooting | L36-L40 | Diagnosing and resolving Azure AI Video Indexer Arc deployment and runtime issues, including connectivity, configuration, and infrastructure-related troubleshooting steps. |
| Best Practices | L41-L50 | Best practices for scaling, customizing models (brands, language, speech), using AI agents for real-time insights, and designing disaster recovery/failover for Azure Video Indexer. |
| Decision Making | L51-L58 | Guidance on cost planning, live AI insight selection vs custom models, camera analytics choices, and multi-tenant management strategies for Azure AI Video Indexer. |
| Limits & Quotas | L59-L66 | Limits, quotas, formats, and language support for Video Indexer, plus how to configure, monitor, and summarize live camera recording durations and events. |
| Security | L67-L76 | Securing Video Indexer: configuring roles, face feature access, NSG service tags, private endpoints, storage firewalls, and applying Microsoft’s security baseline. |
| Configuration | L77-L91 | Configuring Video Indexer: camera and live analysis setup, custom AI insights, OpenAI-based summarization, indexing options, speaker identities, regions, and monitoring/diagnostics. |
| Integrations & Coding Patterns | L92-L98 | Using Video Indexer APIs, widgets, and low-code tools to call the service, embed insights, automate workflows, and programmatically redact faces in videos |
| Deployment | L99-L103 | Deploying Azure AI Video Indexer via Arc extension or ARM templates, and creating/managing real-time extensions for live video processing and integration. |
| Topic | URL |
|---|---|
| Diagnose Azure AI Video Indexer Arc issues | https://learn.microsoft.com/en-us/azure/azure-video-indexer/arc/azure-video-indexer-enabled-by-arc-troubleshooting |
| Topic | URL |
|---|---|
| Apply AI agents for real-time video insights | https://learn.microsoft.com/en-us/azure/azure-video-indexer/arc/agents-overview |
| Apply scale best practices for Azure Video Indexer | https://learn.microsoft.com/en-us/azure/azure-video-indexer/considerations-when-use-at-scale |
| Customize brand detection models in Video Indexer | https://learn.microsoft.com/en-us/azure/azure-video-indexer/customize-brands-model-how-to |
| Customize Azure Video Indexer language models | https://learn.microsoft.com/en-us/azure/azure-video-indexer/customize-language-model-how-to |
| Apply Video Indexer speech model training best practices | https://learn.microsoft.com/en-us/azure/azure-video-indexer/speech-model-training-best-practices |
| Implement disaster recovery and failover for Video Indexer | https://learn.microsoft.com/en-us/azure/azure-video-indexer/video-indexer-disaster-recovery |
| Topic | URL |
|---|---|
| Plan and estimate costs for Video Indexer Arc | https://learn.microsoft.com/en-us/azure/azure-video-indexer/arc/cost-management |
| Choose and apply live AI insights to cameras | https://learn.microsoft.com/en-us/azure/azure-video-indexer/arc/live-ai-insights-catalog |
| Decide when to create custom live AI insights | https://learn.microsoft.com/en-us/azure/azure-video-indexer/arc/live-custom-insights-overview |
| Choose multi-tenant management strategies for Video Indexer | https://learn.microsoft.com/en-us/azure/azure-video-indexer/manage-multiple-tenants |
| Topic | URL |
|---|---|
| Generate event summaries from camera recordings | https://learn.microsoft.com/en-us/azure/azure-video-indexer/arc/live-event-summary |
| View and manage live camera recording durations | https://learn.microsoft.com/en-us/azure/azure-video-indexer/arc/live-watch-recordings |
| Azure Video Indexer formats, limits, and service quotas | https://learn.microsoft.com/en-us/azure/azure-video-indexer/avi-support-matrix |
| Check language support and capabilities in Video Indexer | https://learn.microsoft.com/en-us/azure/azure-video-indexer/language-support |
| Topic | URL |
|---|---|
| Request access to Azure AI Video Indexer face features | https://learn.microsoft.com/en-us/azure/azure-video-indexer/limited-access-features |
| Use NSG service tags with Azure Video Indexer | https://learn.microsoft.com/en-us/azure/azure-video-indexer/network-security |
| Configure private endpoints for Azure Video Indexer | https://learn.microsoft.com/en-us/azure/azure-video-indexer/private-endpoint-how-to |
| Configure Azure AI Video Indexer access roles | https://learn.microsoft.com/en-us/azure/azure-video-indexer/restricted-viewer-role |
| Apply security baseline to Azure AI Video Indexer | https://learn.microsoft.com/en-us/azure/azure-video-indexer/security-baseline-video-indexer |
| Secure Azure AI Video Indexer with firewall-protected storage | https://learn.microsoft.com/en-us/azure/azure-video-indexer/storage-behind-firewall |
| Topic | URL |
|---|---|
| Redact faces in videos using Video Indexer API | https://learn.microsoft.com/en-us/azure/azure-video-indexer/face-redaction-with-api |
| Integrate Video Indexer with Logic Apps and Power Automate | https://learn.microsoft.com/en-us/azure/azure-video-indexer/logic-apps-connector-arm-accounts |
| Embed Azure Video Indexer widgets into applications | https://learn.microsoft.com/en-us/azure/azure-video-indexer/video-indexer-embed-widgets |
| Topic | URL |
|---|---|
| Create and manage Video Indexer real-time extensions | https://learn.microsoft.com/en-us/azure/azure-video-indexer/arc/live-extension |
| Deploy Azure AI Video Indexer with ARM templates | https://learn.microsoft.com/en-us/azure/azure-video-indexer/deploy-with-arm-template |
© MicrosoftDocs, CC-BY-4.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/azure-video-indexer of MicrosoftDocs/Agent-Skills.
Open the folder on GitHubat commit ba74e8f
Azure Video Indexer 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 Video Indexer this skillMicrosoftDocs/Agent-Skills | 777 | — | ~2.4k | Automated safety check: Pass | CC-BY-4.0 | |
| Azure AImicrosoft/GitHub-Copilot-for-Azure | 255 | 1 repos | ~852 | Automated safety check: Pass | MIT | |
| Azure Architecture Autopilotgithub/awesome-copilot | 40k | 1 repos | ~1.9k | Automated safety check: Pass | MIT | |
| Capacitymicrosoft/GitHub-Copilot-for-Azure | 255 | 1 repos | ~1.7k | Automated safety check: Pass | MIT | |
| Deploy Modelmicrosoft/GitHub-Copilot-for-Azure | 255 | 1 repos | ~1.8k | Automated safety check: Pass | MIT | |
| Add Model Pricelitefuse/litefuse | 100 | — | ~3.6k | Automated safety check: Pass | Custom licence |
microsoft/GitHub-Copilot-for-Azure
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Categories
Expert knowledge for Azure AI Video Indexer development including troubleshooting, best practices, decision making, limits & quotas, security, configuration, integrations & coding patterns, and…. Azure Video Indexer is an agent skill from MicrosoftDocs/Agent-Skills, published by the product's own GitHub organization. Expert knowledge for Azure AI Video Indexer development including troubleshooting, best practices, decision making, limits & quotas, security, configuration, integrations & coding patterns, and deployment.
Azure Video Indexer fits situations like: configuring live camera analysis; custom AI insights; openAI summaries; video Indexer APIs.
Run `npx skills add MicrosoftDocs/Agent-Skills --skill azure-video-indexer -a claude-code`. Or copy the skill folder (skills/azure-video-indexer in MicrosoftDocs/Agent-Skills) into .claude/skills/azure-video-indexer in your project. Claude Code loads it when a task matches its description.
Run `npx skills add MicrosoftDocs/Agent-Skills --skill azure-video-indexer -a codex`. Or copy the skill folder (skills/azure-video-indexer in MicrosoftDocs/Agent-Skills) into .agents/skills/azure-video-indexer 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 MicrosoftDocs/Agent-Skills --skill azure-video-indexer -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-video-indexer, .gemini/skills/azure-video-indexer, .github/skills/azure-video-indexer and .opencode/skills/azure-video-indexer in your project.
SKILL.md names no scripts, command-line tools or credentials: Azure Video Indexer is instructions for the agent only. Compatibility (from SKILL.md): Requires network access. Uses mcp_microsoftdocs:microsoft_docs_fetch or fetch_webpage to retrieve documentation..
SKILL.md names 2 domains. As links in the text: learn.microsoft.com and 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 Video Indexer is published under the CC-BY-4.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.4k tokens (SKILL.md is roughly 9.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Azure Video Indexer: Azure AI (microsoft/GitHub-Copilot-for-Azure, 255 stars), Azure Architecture Autopilot (github/awesome-copilot, 40k stars), Capacity (microsoft/GitHub-Copilot-for-Azure, 255 stars) and Deploy Model (microsoft/GitHub-Copilot-for-Azure, 255 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
MicrosoftDocs (a GitHub organization, an official publisher) maintains it in MicrosoftDocs/Agent-Skills, which has 777 GitHub stars. The repository holds 147 skills in this directory. The repository was last updated on October 5, 2026.
Source: MicrosoftDocs/Agent-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.