Kouchou AI Development
digitaldemocracy2030/kouchou-ai
Local development setup, build and lint commands, environment configuration, and deployment helpers for the kouchou-ai repo.
Expert knowledge for Azure Lab Services development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations…
$ npx skills add MicrosoftDocs/Agent-Skills --skill azure-lab-services -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install MicrosoftDocs/Agent-Skills azure-lab-services --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-lab-services .claude/skills/azure-lab-services && 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-lab-services" agent skill from https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-lab-services into .claude/skills/azure-lab-services/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-lab-services", 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-lab-servicesType 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-lab-services -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install MicrosoftDocs/Agent-Skills azure-lab-services --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-lab-services .agents/skills/azure-lab-services && 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-lab-services" agent skill from https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-lab-services into .agents/skills/azure-lab-services/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-lab-services", 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-lab-services -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install MicrosoftDocs/Agent-Skills azure-lab-services --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-lab-services .cursor/skills/azure-lab-services && 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-lab-services" agent skill from https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-lab-services into .cursor/skills/azure-lab-services/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-lab-services", 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-lab-services--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-lab-services -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install MicrosoftDocs/Agent-Skills azure-lab-services --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-lab-services .gemini/skills/azure-lab-services && 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-lab-services" agent skill from https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-lab-services into .gemini/skills/azure-lab-services/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-lab-services", 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-lab-servicesInstalls 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-lab-services -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-lab-services .github/skills/azure-lab-services && 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-lab-services" agent skill from https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-lab-services into .github/skills/azure-lab-services/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-lab-services", 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-lab-services -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-lab-services --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-lab-services .opencode/skills/azure-lab-services && 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-lab-services" agent skill from https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-lab-services into .opencode/skills/azure-lab-services/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-lab-services", 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-lab-servicesExpert knowledge for Azure Lab Services development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations…
Azure Lab Services is an agent skill from MicrosoftDocs/Agent-Skills, published by the product's own GitHub organization. Expert knowledge for Azure Lab Services development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when configuring lab plans, VM templates/schedules, VNet-integrated labs, GPU/nested virtualization, or Canvas/Teams integration, and other Azure Lab Services related development tasks. Not for Azure DevTest Labs (use azure-devtest-labs), Azure Virtual Machines (use…
Its SKILL.md is about 3.9k 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 Development, covering Design patterns and Deployment. It works with Microsoft Azure. 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 Lab Services loads about 3.9k tokens when it runs. Until then it costs about 150 tokens; SKILL.md has 1,123 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). 1,123 words, ~3,918 tokens.
.claude/skills/azure-lab-services/SKILL.md (or your agent's skills folder).This skill provides expert guidance for Azure Lab Services. 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.
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 | L37-L44 | Diagnosing and fixing VM access, connectivity, deployment, and lab-creation issues in Azure Lab Services, including when to redeploy or reimage VMs. |
| Best Practices | L45-L53 | Governance and setup guidance for lab plans, custom images, nested virtualization, Linux graphical RDP, and preparing optimized Windows template VMs in Azure Lab Services |
| Decision Making | L54-L63 | Guidance on when and how to use Azure Lab Services: choosing lab types, planning migrations (physical or to other services), cost estimation, GPU sizing, and running training or hackathon scenarios. |
| Architecture & Design Patterns | L64-L70 | Core Azure Lab Services architecture, supported networking topologies, and design patterns for building reliable, resilient lab environments and lab plans |
| Limits & Quotas | L71-L78 | VM capacity and core quotas for labs, how to view usage, request quota increases, and timelines for automatic VM deletion and cleanup. |
| Security | L79-L93 | RBAC roles, lab creator/owner assignment, Azure Policy for compliance and VM size limits, firewall and public IP setup, and educator/student VM password management. |
| Configuration | L94-L124 | Configuring Azure Lab Services: lab plans, regions, images, networking, VM templates, schedules (start/stop/shutdown), capacity, GPU/nested virtualization, and user/educator access. |
| Integrations & Coding Patterns | L125-L138 | Integrating Lab Services with Canvas and Teams, automating lab creation via Bicep/PowerShell/Python, connecting labs to VNets, and remote access to Linux VMs with X2Go. |
| Deployment | L139-L148 | Creating and importing Windows/Linux lab VM images (from Azure VMs, physical labs, or compute galleries), rapidly setting up/publishing labs, and migrating lab accounts to lab plans. |
| Topic | URL |
|---|---|
| Troubleshoot Azure Lab Services VMs by redeploying or reimaging | https://learn.microsoft.com/en-us/azure/lab-services/how-to-reset-and-redeploy-vm |
| Troubleshoot access problems for Azure Lab Services VMs | https://learn.microsoft.com/en-us/azure/lab-services/troubleshoot-access-lab-vm |
| Troubleshoot connectivity issues in Azure Lab Services | https://learn.microsoft.com/en-us/azure/lab-services/troubleshoot-connect-lab-vm |
| Troubleshoot Azure Lab Services lab creation issues | https://learn.microsoft.com/en-us/azure/lab-services/troubleshoot-lab-creation |
| Topic | URL |
|---|---|
| Administer lab plans and governance for Lab Services | https://learn.microsoft.com/en-us/azure/lab-services/administrator-guide |
| Recommended approaches for Azure Lab custom images | https://learn.microsoft.com/en-us/azure/lab-services/approaches-for-custom-image-creation |
| Configure nested virtualization in Azure Lab Services | https://learn.microsoft.com/en-us/azure/lab-services/concept-nested-virtualization-template-vm |
| Enable graphical remote desktop for Linux labs with optimal performance | https://learn.microsoft.com/en-us/azure/lab-services/how-to-enable-remote-desktop-linux |
| Best practices for preparing Windows lab templates | https://learn.microsoft.com/en-us/azure/lab-services/how-to-prepare-windows-template |
| Topic | URL |
|---|---|
| Use Azure Lab Services for training scenarios | https://learn.microsoft.com/en-us/azure/lab-services/classroom-labs-scenarios |
| Choose between lab accounts and lab plans | https://learn.microsoft.com/en-us/azure/lab-services/concept-lab-accounts-versus-lab-plans |
| Plan migration from physical labs to Azure Lab Services | https://learn.microsoft.com/en-us/azure/lab-services/concept-migrating-physical-labs |
| Estimate and analyze Azure Lab Services costs | https://learn.microsoft.com/en-us/azure/lab-services/cost-management-guide |
| Run hackathons using Azure Lab Services environments | https://learn.microsoft.com/en-us/azure/lab-services/hackathon-labs |
| Choose and configure GPU VM sizes for Azure labs | https://learn.microsoft.com/en-us/azure/lab-services/how-to-setup-lab-gpu |
| Topic | URL |
|---|---|
| Understand Azure Lab Services architecture fundamentals | https://learn.microsoft.com/en-us/azure/lab-services/classroom-labs-fundamentals |
| Select supported networking architectures for lab plans | https://learn.microsoft.com/en-us/azure/lab-services/concept-lab-services-supported-networking-scenarios |
| Understand reliability and resiliency in Azure Lab Services | https://learn.microsoft.com/en-us/azure/lab-services/reliability-in-azure-lab-services |
| Topic | URL |
|---|---|
| Review VM capacity limits and quotas for labs | https://learn.microsoft.com/en-us/azure/lab-services/capacity-limits |
| Determine Azure Lab Services quota and core usage | https://learn.microsoft.com/en-us/azure/lab-services/how-to-determine-your-quota-usage |
| Request Azure Lab Services core quota increases | https://learn.microsoft.com/en-us/azure/lab-services/how-to-request-capacity-increase |
| Understand automatic VM deletion policy timelines | https://learn.microsoft.com/en-us/azure/lab-services/vm-deletion-policy |
| Topic | URL |
|---|---|
| Import Linux custom images from Azure VMs into labs | https://learn.microsoft.com/en-us/azure/lab-services/how-to-bring-custom-linux-image-azure-vm |
| Import Linux images from physical labs into Azure Lab Services | https://learn.microsoft.com/en-us/azure/lab-services/how-to-bring-custom-linux-image-vhd |
| Create Azure Lab Services labs from Windows VM images | https://learn.microsoft.com/en-us/azure/lab-services/how-to-bring-custom-windows-image-azure-vm |
| Migrate Azure Lab Services accounts to lab plans | https://learn.microsoft.com/en-us/azure/lab-services/how-to-migrate-lab-acounts-to-lab-plans |
| Use Azure compute galleries to provide lab VM images | https://learn.microsoft.com/en-us/azure/lab-services/how-to-use-shared-image-gallery |
| Rapidly create and publish a lab for students | https://learn.microsoft.com/en-us/azure/lab-services/setup-guide |
| Import Windows images from physical labs into Azure Lab Services | https://learn.microsoft.com/en-us/azure/lab-services/upload-custom-image-shared-image-gallery |
© 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-lab-services of MicrosoftDocs/Agent-Skills.
Open the folder on GitHubat commit ba74e8f
Azure Lab Services 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 Lab Services this skillMicrosoftDocs/Agent-Skills | 775 | — | ~3.9k | Automated safety check: Pass | CC-BY-4.0 | |
| Kouchou AI Developmentdigitaldemocracy2030/kouchou-ai | 171 | — | ~540 | Automated safety check: Notes | AGPL-3.0 | |
| Aspiremicrosoft/aspire.dev | 196 | 4 repos | ~1.1k | Automated safety check: Pass | MIT | |
| Library Patternsccashwell/evm-cortex | 131 | — | ~1.6k | 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 | 2 repos | ~1.7k | Automated safety check: Pass | MIT |
digitaldemocracy2030/kouchou-ai
Local development setup, build and lint commands, environment configuration, and deployment helpers for the kouchou-ai repo.
microsoft/aspire.dev
Orchestrates Aspire distributed applications using the Aspire CLI for running, debugging, and managing distributed apps.
ccashwell/evm-cortex
Library design patterns for reusable Solidity code. An agent skill from ccashwell/evm-cortex.
github/awesome-copilot
Designs Azure infrastructure from a natural-language description, or diagrams an existing resource group, then refines the design through conversation and deploys it with Bicep.
microsoft/GitHub-Copilot-for-Azure
Discovers available Azure OpenAI model capacity across regions and projects.
CommunityToolkit/Aspire
ANALYSIS SKILL - Observe Aspire apps: logs, traces, metrics, resource state, telemetry export, browser telemetry, and the standalone dashboard.
MicrosoftDocs/Agent-Skills
Expert knowledge for Azure AI Personalizer development including troubleshooting, decision making, security, configuration, and integrations & coding patterns.
MicrosoftDocs/Agent-Skills
Guides Azure solution design by category, from reference architectures and design patterns to technology choices and migrations, fetching current Microsoft Learn pages over the network.
MicrosoftDocs/Agent-Skills
Reference guidance for Azure Advisor work: recommendations, alerts and digests, workbooks, RBAC access and sovereign-cloud limits, fetched from Microsoft Learn.
MicrosoftDocs/Agent-Skills
Looks up Microsoft Learn guidance for Azure AI Vision: Image Analysis, Read OCR containers, smart-crop thumbnails, background removal and video frame analysis, plus limits and deployment.
MicrosoftDocs/Agent-Skills
Expert knowledge for Azure Analysis Services development including troubleshooting.
MicrosoftDocs/Agent-Skills
Expert knowledge for Azure AI Anomaly Detector development including troubleshooting, best practices, limits & quotas, configuration, and deployment.
Works with
Categories
Expert knowledge for Azure Lab Services development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations…. Azure Lab Services is an agent skill from MicrosoftDocs/Agent-Skills, published by the product's own GitHub organization. Expert knowledge for Azure Lab Services development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment.
Azure Lab Services fits situations like: configuring lab plans; VM templates/schedules; VNet-integrated labs; GPU/nested virtualization.
Run `npx skills add MicrosoftDocs/Agent-Skills --skill azure-lab-services -a claude-code`. Or copy the skill folder (skills/azure-lab-services in MicrosoftDocs/Agent-Skills) into .claude/skills/azure-lab-services in your project. Claude Code loads it when a task matches its description.
Run `npx skills add MicrosoftDocs/Agent-Skills --skill azure-lab-services -a codex`. Or copy the skill folder (skills/azure-lab-services in MicrosoftDocs/Agent-Skills) into .agents/skills/azure-lab-services 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-lab-services -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-lab-services, .gemini/skills/azure-lab-services, .github/skills/azure-lab-services and .opencode/skills/azure-lab-services in your project.
SKILL.md names no scripts, command-line tools or credentials: Azure Lab Services is instructions for the agent only. Our summary lists: Python 3. 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 Lab Services 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 3.9k tokens (SKILL.md is roughly 16k 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 Lab Services: Kouchou AI Development (digitaldemocracy2030/kouchou-ai, 171 stars), Aspire (microsoft/aspire.dev, 196 stars), Library Patterns (ccashwell/evm-cortex, 131 stars) and Azure Architecture Autopilot (github/awesome-copilot, 40k 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 775 GitHub stars. The repository holds 149 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.