Dstack Prototyping
dstackai/dstack
Use with the dstack skill for model-serving work when the image, serving command, resources, backend/fleet choice, or service behavior is not proven.
Set up AI Runway on AKS — from bare cluster to running model.
Install Airunway Aks Setup
$ npx skills add microsoft/GitHub-Copilot-for-Azure --skill airunway-aks-setup -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install microsoft/GitHub-Copilot-for-Azure airunway-aks-setup --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/GitHub-Copilot-for-Azure.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/azure-skills/skills/airunway-aks-setup .claude/skills/airunway-aks-setup && 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 "airunway-aks-setup" agent skill from https://github.com/microsoft/GitHub-Copilot-for-Azure/tree/main/plugins/azure-skills/skills/airunway-aks-setup into .claude/skills/airunway-aks-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "airunway-aks-setup", 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/GitHub-Copilot-for-Azure/tree/main/plugins/azure-skills/skills/airunway-aks-setupType 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/GitHub-Copilot-for-Azure --skill airunway-aks-setup -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install microsoft/GitHub-Copilot-for-Azure airunway-aks-setup --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/microsoft/GitHub-Copilot-for-Azure.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugins/azure-skills/skills/airunway-aks-setup .agents/skills/airunway-aks-setup && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "airunway-aks-setup" agent skill from https://github.com/microsoft/GitHub-Copilot-for-Azure/tree/main/plugins/azure-skills/skills/airunway-aks-setup into .agents/skills/airunway-aks-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "airunway-aks-setup", 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/GitHub-Copilot-for-Azure --skill airunway-aks-setup -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install microsoft/GitHub-Copilot-for-Azure airunway-aks-setup --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/microsoft/GitHub-Copilot-for-Azure.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugins/azure-skills/skills/airunway-aks-setup .cursor/skills/airunway-aks-setup && 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 "airunway-aks-setup" agent skill from https://github.com/microsoft/GitHub-Copilot-for-Azure/tree/main/plugins/azure-skills/skills/airunway-aks-setup into .cursor/skills/airunway-aks-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "airunway-aks-setup", 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/GitHub-Copilot-for-Azure.git --path plugins/azure-skills/skills/airunway-aks-setup--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/GitHub-Copilot-for-Azure --skill airunway-aks-setup -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install microsoft/GitHub-Copilot-for-Azure airunway-aks-setup --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/microsoft/GitHub-Copilot-for-Azure.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugins/azure-skills/skills/airunway-aks-setup .gemini/skills/airunway-aks-setup && 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 "airunway-aks-setup" agent skill from https://github.com/microsoft/GitHub-Copilot-for-Azure/tree/main/plugins/azure-skills/skills/airunway-aks-setup into .gemini/skills/airunway-aks-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "airunway-aks-setup", 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/GitHub-Copilot-for-Azure airunway-aks-setupInstalls 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/GitHub-Copilot-for-Azure --skill airunway-aks-setup -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/microsoft/GitHub-Copilot-for-Azure.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugins/azure-skills/skills/airunway-aks-setup .github/skills/airunway-aks-setup && 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 "airunway-aks-setup" agent skill from https://github.com/microsoft/GitHub-Copilot-for-Azure/tree/main/plugins/azure-skills/skills/airunway-aks-setup into .github/skills/airunway-aks-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "airunway-aks-setup", 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/GitHub-Copilot-for-Azure --skill airunway-aks-setup -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/GitHub-Copilot-for-Azure airunway-aks-setup --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/microsoft/GitHub-Copilot-for-Azure.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugins/azure-skills/skills/airunway-aks-setup .opencode/skills/airunway-aks-setup && 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 "airunway-aks-setup" agent skill from https://github.com/microsoft/GitHub-Copilot-for-Azure/tree/main/plugins/azure-skills/skills/airunway-aks-setup into .opencode/skills/airunway-aks-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "airunway-aks-setup", 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.
Facts
- Skill name
airunway-aks-setup- GitHub stars
- 255
- Used in
- 1 other repo
- Token cost
- ~1.1k tokens
- SKILL.md length
- 476 words
- Files
- 13 (incl. references)
- Skills in repo
- 61
- Repo updated
- First seen
- Licence
- MIT
At a glance
Set up AI Runway on AKS — from bare cluster to running model.
- Works in 5 steps: Execute steps in sequence — load the… → Report cluster state at each step: ✓… → Ask for user confirmation before any… → …
- Tasks that involve LLM inference and serving
- SKILL.md covers Prerequisites, Quick Reference, When to Use This Skill and GPU setup versus Day-2 incidents, plus 4 more sections
- Calls kubectl and az
What it does
Airunway Aks Setup is an agent skill from microsoft/GitHub-Copilot-for-Azure, published by the product's own GitHub organization. Set up AI Runway on AKS — from bare cluster to running model. Covers cluster verification, controller install, GPU assessment, provider setup, and first deployment. WHEN: "setup AI Runway", "onboard AKS cluster", "install AI Runway", "airunway setup", "deploy model to AKS", "GPU inference on AKS", "KAITO setup on AKS", "run LLM on AKS", "vLLM on AKS", "set up model serving on AKS", "AI Runway controller".
Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 14 other files, including reference files (for example `references/gpu-profiles.md`, `references/model-sizing.md` and `references/optional-gpu-day2.md`).
It sits in AI & LLM Engineering, covering LLM inference and serving. It works with Azure Kubernetes Service, Microsoft Azure, vLLM and Kubernetes. The repository describes itself as: GitHub Copilot for Azure. The licence is MIT.
When your agent uses it
- Tasks that involve LLM inference and serving
Example prompts
- “setup AI Runway”
- “onboard AKS cluster”
- “install AI Runway”
- “/airunway-aks-setup”
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- Execute steps in sequence — load the reference for each step as you reach it
- Report cluster state at each step: ✓ healthy, ✗ missing/failed
- Ask for user confirmation before any install or deployment action
- If a step is already complete, report status and skip to the next step
- If the user provides skip-to-step N, start at step N; assume prior steps are complete
What it can do on your machine
Read from SKILL.md and the folder at commit ce94fce. It shows what the files ask for, not the result of running them.
Tool permissions
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.
Runs code
Shell commands in SKILL.md call:
kubectlaz
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use kubectl and az, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Airunway Aks Setup loads about 1.1k tokens when it runs, and up to ~6.5k if it reads all its reference files. Until then it costs about 107 tokens; SKILL.md has 476 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.
Safety
Auto-check passed
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.
SKILL.md
The full file from microsoft/GitHub-Copilot-for-Azure at commit ce94fce, republished under its MIT licence (© microsoft). 476 words, ~1,123 tokens.
Download SKILL.mdSave it as
.claude/skills/airunway-aks-setup/SKILL.md (or your agent's skills folder). This skill also uses 12 other files; get the full folder from GitHub.- name
- airunway-aks-setup
- description
- Set up AI Runway on AKS — from bare cluster to running model. Covers cluster verification, controller install, GPU assessment, provider setup, and first deployment. WHEN: "setup AI Runway", "onboard AKS cluster", "install AI Runway", "airunway setup", "deploy model to AKS", "GPU inference on AKS", "KAITO setup on AKS", "run LLM on AKS", "vLLM on AKS", "set up model serving on AKS", "AI Runway controller".
- license
- MIT
- metadata.author
- Microsoft
- metadata.version
- 0.0.0-placeholder
- argument-hint
- [skip-to-step N]
AI Runway AKS Setup
This skill walks users from a bare Kubernetes cluster to a running AI model deployment. Follow each step in sequence unless the user provides skip-to-step N to resume from a specific phase.
Cost awareness: GPU node pools incur significant compute charges (A100-80GB can cost $3–5+/hr). Confirm the user understands cost implications before provisioning GPU resources.
Prerequisites
This skill assumes an AKS cluster already exists. If the user does not have a cluster, hand off to the azure-kubernetes skill first to provision one (with a GPU node pool unless CPU-only inference is acceptable), then return here.
Quick Reference
| Property | Value |
|---|---|
| Best for | End-to-end AI Runway onboarding on AKS |
| CLI tools | kubectl, make, curl |
| MCP tools | None |
| Related skills | azure-kubernetes (cluster setup), azure-diagnostics (baseline troubleshooting), optional aks-gpu-inference (existing GPU/inference Day-2 incidents only) |
When to Use This Skill
Use this skill when the user wants to:
- Set up AI Runway on an existing AKS cluster from scratch
- Install the AI Runway controller and CRDs
- Assess GPU hardware compatibility for model deployment
- Choose and install an inference provider (KAITO, Dynamo, KubeRay)
- Deploy their first AI model to AKS via AI Runway
- Resume a partially-complete AI Runway setup from a specific step
GPU setup versus Day-2 incidents
Keep initial GPU node-pool, provider, controller, and model setup in this skill. For an incident affecting an existing GPU or inference deployment, load optional-gpu-day2.md before deciding whether to offer the focused optional add-on.
MCP Tools
This skill uses no MCP tools. All cluster operations are performed directly via kubectl and make.
Show full SKILL.md (219 more words)Show less
Rules
- Execute steps in sequence — load the reference for each step as you reach it
- Report cluster state at each step: ✓ healthy, ✗ missing/failed
- Ask for user confirmation before any install or deployment action
- If a step is already complete, report status and skip to the next step
- If the user provides
skip-to-step N, start at step N; assume prior steps are complete
Steps
| # | Step | Reference |
|---|---|---|
| 1 | Cluster Verification — context check, node inventory, GPU detection | step-1-verify.md |
| 2 | Controller Installation — CRD + controller deployment | step-2-controller.md |
| 3 | GPU Assessment — detect GPU models, flag dtype/attention constraints | step-3-gpu.md |
| 4 | Provider Setup — recommend and install inference provider | step-4-provider.md |
| 5 | First Deployment — pick a model, deploy, verify Ready | step-5-deploy.md |
| 6 | Summary — recap, smoke test, next steps | step-6-summary.md |
Error Handling
| Error / Symptom | Likely Cause | Remediation |
|---|---|---|
| No kubeconfig context | Not connected to a cluster | Run az aks get-credentials or equivalent |
| Controller in CrashLoopBackOff | Config or RBAC issue | kubectl logs -n airunway-system -l control-plane=controller-manager --previous |
| Provider not ready | Image pull or RBAC issue | kubectl logs <pod-name> -n <namespace> for the provider pod |
| ModelDeployment stuck in Pending | GPU scheduling failure or provider not ready | kubectl describe modeldeployment <name> -n <namespace> events |
bfloat16 errors at inference | T4 or V100 lacks bfloat16 support | Add --dtype float16 to serving args |
For full error handling and rollback procedures, see troubleshooting.md.
© microsoft, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 12 other files (references) in plugins/azure-skills/skills/airunway-aks-setup of microsoft/GitHub-Copilot-for-Azure.
- SKILL.md
- references/gpu-profiles.md
- references/model-sizing.md
- references/optional-gpu-day2.md
- references/powershell-notes.md
- references/steps/step-1-verify.md
- references/steps/step-2-controller.md
- references/steps/step-3-gpu.md
- references/steps/step-4-provider.md
- references/steps/step-5-deploy.md
- references/steps/step-6-summary.md
- references/troubleshooting.md
- version.json
Open the folder on GitHubat commit ce94fce
Used in 3 other repositories
We found 4 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in microsoft/GitHub-Copilot-for-Azure, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Airunway Aks Setup 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 |
|---|---|---|---|---|---|---|
| Airunway Aks Setup this skillmicrosoft/GitHub-Copilot-for-Azure | 255 | 1 repos | ~1.1k | Automated safety check: Pass | MIT | |
| Dstack Prototypingdstackai/dstack | 2.3k | — | ~1.6k | Automated safety check: Pass | MPL-2.0 | |
| Vllm Deploy K8svllm-project/vllm-skills | 103 | — | ~2k | Automated safety check: Pass | Apache-2.0 | |
| Vllm Serversickn33/agentic-awesome-skills | 47k | 2 repos | ~1.7k | Automated safety check: Pass | MIT | |
| LLM Inference Scalingsickn33/agentic-awesome-skills | 47k | 1 repos | ~2.1k | Automated safety check: Pass | MIT | |
| Vllmmagnus919/agent-skills | 116 | — | ~4.1k | Automated safety check: Notes | MIT |
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Related
Categories
Questions about Airunway Aks Setup
What does Airunway Aks Setup do?
Set up AI Runway on AKS — from bare cluster to running model. Airunway Aks Setup is an agent skill from microsoft/GitHub-Copilot-for-Azure, published by the product's own GitHub organization. Set up AI Runway on AKS — from bare cluster to running model.
When should I use Airunway Aks Setup?
Airunway Aks Setup fits situations like: tasks that involve LLM inference and serving.
How do I install Airunway Aks Setup in Claude Code?
Run `npx skills add microsoft/GitHub-Copilot-for-Azure --skill airunway-aks-setup -a claude-code`. Or copy the skill folder (plugins/azure-skills/skills/airunway-aks-setup in microsoft/GitHub-Copilot-for-Azure) into .claude/skills/airunway-aks-setup in your project. Claude Code loads it when a task matches its description.
How do I install Airunway Aks Setup in Codex?
Run `npx skills add microsoft/GitHub-Copilot-for-Azure --skill airunway-aks-setup -a codex`. Or copy the skill folder (plugins/azure-skills/skills/airunway-aks-setup in microsoft/GitHub-Copilot-for-Azure) into .agents/skills/airunway-aks-setup in your project. Codex loads it when a task matches its description.
Can I use Airunway Aks Setup in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add microsoft/GitHub-Copilot-for-Azure --skill airunway-aks-setup -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/airunway-aks-setup, .gemini/skills/airunway-aks-setup, .github/skills/airunway-aks-setup and .opencode/skills/airunway-aks-setup in your project.
What does Airunway Aks Setup need to run?
Going by SKILL.md and its folder, Airunway Aks Setup needs the command-line tools its instructions call (kubectl and az).
Does Airunway Aks Setup access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Airunway Aks Setup safe to install?
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.
What licence does Airunway Aks Setup use?
Airunway Aks Setup is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Airunway Aks Setup use?
About 1.1k tokens (SKILL.md is roughly 4.5k 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 5.4k tokens, read only when the agent opens those files.
What are the alternatives to Airunway Aks Setup?
Skills that share tags, products or a category with Airunway Aks Setup: Dstack Prototyping (dstackai/dstack, 2.3k stars), Vllm Deploy K8s (vllm-project/vllm-skills, 103 stars), Vllm Server (sickn33/agentic-awesome-skills, 47k stars) and LLM Inference Scaling (sickn33/agentic-awesome-skills, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Airunway Aks Setup?
microsoft (a GitHub organization, an official publisher) maintains it in microsoft/GitHub-Copilot-for-Azure, which has 255 GitHub stars. The repository holds 61 skills in this directory. The repository was last updated on October 9, 2026.
Source: microsoft/GitHub-Copilot-for-Azure on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.