azure-image-builder
Build Azure managed images and Azure Compute Gallery images with Packer. Use when creating custom images for Azure VMs.
Install with Tessl CLI
npx tessl i github:hashicorp/agent-skills --skill azure-image-builder85
Does it follow best practices?
If you maintain this skill, you can automatically optimize it using the tessl CLI to improve its score:
npx tessl skill review --optimize ./path/to/skillValidation for skill structure
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 with clear 'what' and 'when' components and good distinctiveness for its specific niche. The main weaknesses are limited specificity in concrete actions (only 'build' is mentioned) and trigger terms that could be expanded to capture more natural user language variations around image creation workflows.
Suggestions
Expand concrete actions beyond 'build' - consider adding terms like 'configure', 'customize', 'provision', or 'deploy' to describe the full workflow
Add more trigger term variations users might naturally say, such as 'golden image', 'VM template', 'image pipeline', or 'HCL configuration'
| 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, actionable skill with complete executable examples for Azure image building. The content is concise and well-organized, though it could benefit from more explicit validation checkpoints in the workflow, particularly around verifying successful image creation and handling build failures.
Suggestions
Add explicit validation steps after build completion (e.g., verify image exists with `az image show` or `az sig image-version show`)
Include a feedback loop for common failures: 'If authentication fails: verify credentials → re-export variables → retry build'
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is lean and efficient, providing only necessary configuration examples without explaining what Azure or Packer are. Every section serves a purpose with no padding or redundant explanations. | 3 / 3 |
Actionability | Provides complete, executable HCL configurations and bash commands that are copy-paste ready. Includes full variable declarations, authentication setup, and build commands with no pseudocode. | 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 them into a workflow with retry guidance. | 2 / 3 |
Progressive Disclosure | Well-organized with clear sections progressing from basic to advanced (managed image → compute gallery → authentication). External references are clearly signaled at the end, and content is appropriately structured without deep nesting. | 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.
- Reviewed
Table of Contents
Is this your skill?
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.