azure-compute
Azure VM and VMSS router for recommendations, pricing, autoscale, orchestration, and connectivity troubleshooting. WHEN: Azure VM, VMSS, scale set, recommend, compare, server, website, burstable, lightweight, VM family, workload, GPU, learning, simulation, dev/test, backend, autoscale, load balancer, Flexible orchestration, Uniform orchestration, cost estimate, connect, refused, Linux, black screen, reset password, reach VM, port 3389, NSG, troubleshoot.
96
95%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Advisory
Suggest reviewing before use
Quality
Discovery
89%Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.
This is a strong skill description with excellent trigger term coverage and clear completeness via the explicit WHEN clause. The main weakness is that the 'what' portion could be more specific about concrete actions rather than listing broad capability categories. The extensive keyword list in the WHEN clause is well-suited for skill selection from a large pool.
Suggestions
Make the capability description more specific by listing concrete actions, e.g., 'Recommends and compares Azure VM families for workloads, estimates costs, configures VMSS autoscale rules, troubleshoots VM connectivity issues' instead of broad categories.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | The description names the domain (Azure VM and VMSS) and lists several action areas (recommendations, pricing, autoscale, orchestration, connectivity troubleshooting), but these are category-level rather than concrete specific actions like 'compare VM families' or 'configure autoscale rules'. | 2 / 3 |
Completeness | The description clearly answers both 'what' (Azure VM/VMSS router for recommendations, pricing, autoscale, orchestration, and connectivity troubleshooting) and 'when' with an explicit 'WHEN:' clause containing extensive trigger terms. | 3 / 3 |
Trigger Term Quality | Excellent coverage of natural trigger terms users would actually say, including specific terms like 'burstable', 'GPU', 'port 3389', 'NSG', 'black screen', 'reset password', 'Linux', 'load balancer', 'Flexible orchestration', 'Uniform orchestration', and various workload types. These are highly natural and cover many common user query variations. | 3 / 3 |
Distinctiveness Conflict Risk | The description is highly specific to Azure VM and VMSS scenarios with distinct triggers like 'VMSS', 'scale set', 'VM family', 'port 3389', 'NSG', and 'Flexible orchestration' that are unlikely to conflict with other skills. The niche is clearly defined. | 3 / 3 |
Total | 11 / 12 Passed |
Implementation
100%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a well-crafted routing skill that is concise, actionable, and well-organized. It efficiently maps user intents to specific workflows using both a visual decision tree and a signal-mapping table, with appropriate fallback handling. The progressive disclosure is exemplary, keeping the top-level file focused on routing while linking to detailed workflows and references.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is lean and efficient. It avoids explaining what Azure VMs are or how they work, and every section serves a clear routing purpose. No unnecessary padding or concept explanations. | 3 / 3 |
Actionability | The routing logic is concrete and unambiguous with specific signal-to-workflow mappings. The decision tree and table provide clear, executable guidance for Claude to determine which workflow to invoke, including a fallback for unclear intent. | 3 / 3 |
Workflow Clarity | The routing workflow is clearly sequenced with a decision tree, a signal-mapping table, and an explicit fallback for ambiguous requests. For a routing skill (not a destructive/batch operation), this level of clarity is sufficient and well-structured. | 3 / 3 |
Progressive Disclosure | Excellent progressive disclosure: the SKILL.md serves as a concise overview/router with well-signaled one-level-deep references to specific workflows and reference documents. Navigation is clear via linked markdown files organized in a logical directory structure. | 3 / 3 |
Total | 12 / 12 Passed |
Validation
100%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 11 / 11 Passed
Validation for skill structure
No warnings or errors.
- Repository
- microsoft/azure-skills
- Commit
9d594ab
- Reviewed
Table of Contents
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