airunway-aks-setup

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".

Quality

93%

Does it follow best practices?

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Securityby

Passed

No findings from the security scan

Quality

Content

86%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The body is a well-structured orchestrator: lean, table-dense, with a clear sequenced workflow, confirmation/validation gates, and clean progressive disclosure to real reference files. The only mild gap is that executable deploy detail is delegated to the step references rather than appearing inline.

Dimension	Reasoning	Score
Conciseness	The body is lean and table-driven with no re-explanation of concepts Claude already knows (no 'what is AKS/kubectl' filler); every section — Quick Reference, Rules, Steps, Error Handling — earns its place.	5 / 5
Actionability	It provides concrete executable commands in the error-handling table ('kubectl logs -n airunway-system ...', 'az aks get-credentials') and clear step references, but the actual deploy/install commands live in the referenced step files rather than the body, leaving minor gaps.	4 / 5
Workflow Clarity	A clear 1–6 step sequence with state-reporting checkpoints ('✓ healthy, ✗ missing/failed'), a confirmation gate before install/deploy (Rule 3), and an error-recovery table; the explicit validation detail is delegated to step references, so it is not a full 5.	4 / 5
Progressive Disclosure	The body is a concise overview with well-signaled, one-level-deep markdown links to references/steps/step-N.md and troubleshooting.md, all of which resolve to real files; content is appropriately split for easy navigation.	5 / 5
	Total	18 / 20 Passed

Description

100%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

The description is exemplary: it states concrete capabilities, gives explicit natural-language triggers, answers both what and when, and occupies a distinct niche. It uses third-person voice and avoids fluff.

Dimension	Reasoning	Score
Specificity	The description lists multiple concrete actions — 'cluster verification, controller install, GPU assessment, provider setup, and first deployment' — giving comprehensive coverage of the skill's capabilities, matching the 5-anchor example.	5 / 5
Completeness	It explicitly answers both 'what' (Set up AI Runway on AKS from bare cluster to running model, with the listed phases) and 'when' (concrete 'WHEN:' trigger phrases), matching the 5-anchor example precisely.	5 / 5
Trigger Term Quality	The 'WHEN:' clause provides comprehensive natural trigger phrases users would actually say, including synonyms and tool names ('setup AI Runway', 'deploy model to AKS', 'GPU inference on AKS', 'run LLM on AKS', 'vLLM on AKS', 'KAITO setup on AKS').	5 / 5
Distinctiveness Conflict Risk	'AI Runway on AKS' is a clear niche with distinct triggers tied to specific tools (KAITO, vLLM), making conflict with other skills unlikely.	5 / 5
	Total	20 / 20 Passed

Validation

81%

Warnings & errors only

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 13 / 16 Passed

Validation for skill structure

Criteria	Description	Result
frontmatter_unknown_keys	Unknown frontmatter key(s) found; consider removing or moving to metadata	Warning
relative_links	Relative link issues: 6 deeper-than-1-level	Warning
referenced_paths_exist	Referenced path issues: 6 deeper-than-1-level	Warning

	Total	13 / 16 Passed

Repository: microsoft/GitHub-Copilot-for-Azure
Path: plugins/azure-skills/skills/airunway-aks-setup/SKILL.md
Commit: a55fe6d

Reviewed: 2 days ago

Table of Contents

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