Build Azure managed images and Azure Compute Gallery images with Packer. Use when creating custom images for Azure VMs.
88
81%
Does it follow best practices?
Impact
100%
1.25xAverage score across 3 eval scenarios
Passed
No known issues
Quality
Discovery
75%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 solid description that clearly communicates its purpose and includes an explicit 'Use when' clause. The main weakness is limited specificity in the actions beyond 'build' and moderate trigger term coverage that could miss some natural user phrasings. The description effectively carves out a distinct niche.
Suggestions
Expand specific actions beyond 'build' - e.g., 'Build, validate, and publish Azure managed images and Compute Gallery images with Packer'
Add more trigger term variations to the 'Use when' clause - e.g., 'Use when creating custom images, golden images, VM templates, or image definitions for Azure VMs'
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Names the domain (Azure images, Packer) and mentions two types of images (managed images, Compute Gallery images), but doesn't list comprehensive concrete actions beyond 'build' - missing details like what configurations, customizations, or workflows are supported. | 2 / 3 |
Completeness | Clearly answers both what ('Build Azure managed images and Azure Compute Gallery images with Packer') and when ('Use when creating custom images for Azure VMs') with an explicit 'Use when' clause. | 3 / 3 |
Trigger Term Quality | Includes relevant keywords like 'Azure', 'Packer', 'managed images', 'Compute Gallery', 'custom images', 'VMs', but missing common variations users might say like 'VM image', 'golden image', 'image template', 'HCL', or 'Azure image builder'. | 2 / 3 |
Distinctiveness Conflict Risk | Very specific niche combining Azure + Packer + image building - unlikely to conflict with general Azure skills, general Packer skills, or other cloud provider image skills due to the specific combination of technologies mentioned. | 3 / 3 |
Total | 10 / 12 Passed |
Implementation
87%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a strong, well-structured skill that provides actionable Azure image building guidance with complete, executable examples. The content is appropriately concise and assumes Claude's competence with cloud concepts. The main weakness is the workflow section could benefit from explicit validation checkpoints between steps, particularly around verifying authentication and checking build status.
Suggestions
Add explicit validation checkpoint after authentication setup (e.g., 'Verify credentials: az account show')
Include a feedback loop in the build workflow for handling common failures (e.g., 'If build fails, check logs at X, fix Y, then retry')
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is lean and efficient, providing only necessary configuration examples without explaining what Azure, Packer, or managed images are. Every section serves a clear purpose with no padding or redundant explanations. | 3 / 3 |
Actionability | Provides complete, copy-paste ready HCL configurations and bash commands. The examples are fully executable with proper variable declarations, authentication setup, and build commands. | 3 / 3 |
Workflow Clarity | Build commands show a clear sequence (init → validate → build), but lacks explicit validation checkpoints or feedback loops for error recovery. The troubleshooting section lists issues but doesn't integrate verification steps into the workflow. | 2 / 3 |
Progressive Disclosure | Well-organized with clear sections progressing from basic to advanced (managed image → compute gallery → authentication options). External references are clearly signaled at the end, and content is appropriately structured for the skill's scope. | 3 / 3 |
Total | 11 / 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.
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Table of Contents
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