vertex-ai-deployer
Vertex Ai Deployer - Auto-activating skill for ML Deployment. Triggers on: vertex ai deployer, vertex ai deployer Part of the ML Deployment skill category.
Install with Tessl CLI
npx tessl i github:jeremylongshore/claude-code-plugins-plus-skills --skill vertex-ai-deployerOverall
score
19%
Does it follow best practices?
Validation for skill structure
Activation
7%This description is severely underdeveloped, consisting mainly of the skill name repeated and a generic category label. It provides no concrete actions, no natural trigger terms users would actually say, and no guidance on when to use the skill. The only redeeming quality is the specific mention of 'Vertex AI' which provides minimal platform distinction.
Suggestions
Add specific concrete actions like 'Deploy ML models to Vertex AI endpoints, configure autoscaling, manage model versions, set up prediction services'
Include a 'Use when...' clause with natural trigger terms: 'Use when deploying models to GCP, setting up Vertex AI endpoints, configuring ML serving infrastructure, or managing prediction services'
Add common user language variations: 'model deployment', 'serving endpoint', 'GCP ML', 'Google Cloud AI', 'prediction API', 'model hosting'
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | The description only names the domain ('ML Deployment') and repeats the skill name but provides no concrete actions. There are no specific capabilities listed like 'deploy models', 'configure endpoints', or 'manage model versions'. | 1 / 3 |
Completeness | The description fails to answer 'what does this do' beyond the vague 'ML Deployment' category, and there is no 'Use when...' clause or explicit guidance on when Claude should select this skill. | 1 / 3 |
Trigger Term Quality | The only trigger terms are 'vertex ai deployer' repeated twice, which is the skill name itself rather than natural user language. Missing common terms users would say like 'deploy model', 'endpoint', 'serving', 'prediction service', or 'GCP ML'. | 1 / 3 |
Distinctiveness Conflict Risk | The mention of 'Vertex AI' provides some specificity to Google Cloud's ML platform, distinguishing it from generic ML deployment skills. However, the lack of specific capabilities means it could still conflict with other GCP or ML deployment skills. | 2 / 3 |
Total | 5 / 12 Passed |
Implementation
0%This skill is essentially a placeholder with no actionable content. It describes what a Vertex AI deployment skill would do without providing any actual deployment instructions, code examples, configuration templates, or workflows. The content is entirely meta-description rather than practical guidance.
Suggestions
Add concrete code examples for common Vertex AI deployment tasks (e.g., deploying a model endpoint, configuring autoscaling, setting up prediction routes)
Include a step-by-step workflow with validation checkpoints for deploying models to Vertex AI (e.g., 1. Build container -> 2. Push to Artifact Registry -> 3. Create endpoint -> 4. Deploy model -> 5. Test prediction)
Remove the generic 'Capabilities' and 'Example Triggers' sections and replace with actual deployment commands and configuration snippets
Add references to specific Vertex AI concepts like endpoint configuration, traffic splitting, model monitoring setup, and link to detailed guides for each
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is padded with generic boilerplate that explains nothing specific about Vertex AI deployment. Phrases like 'provides automated assistance' and 'follows industry best practices' are filler that Claude doesn't need. | 1 / 3 |
Actionability | No concrete code, commands, or specific guidance is provided. The skill describes what it does abstractly ('provides step-by-step guidance') but never actually provides any guidance, examples, or executable instructions. | 1 / 3 |
Workflow Clarity | No workflow, steps, or process is defined. The content only describes trigger conditions and vague capabilities without any actual deployment workflow or validation checkpoints. | 1 / 3 |
Progressive Disclosure | No structure beyond generic headings. No references to detailed documentation, no links to examples or API references, and no organization of content by complexity or use case. | 1 / 3 |
Total | 4 / 12 Passed |
Validation
69%Validation — 11 / 16 Passed
Validation for skill structure
| Criteria | Description | Result |
|---|---|---|
description_trigger_hint | Description may be missing an explicit 'when to use' trigger hint (e.g., 'Use when...') | Warning |
allowed_tools_field | 'allowed-tools' contains unusual tool name(s) | Warning |
metadata_version | 'metadata' field is not a dictionary | Warning |
frontmatter_unknown_keys | Unknown frontmatter key(s) found; consider removing or moving to metadata | Warning |
body_steps | No step-by-step structure detected (no ordered list); consider adding a simple workflow | Warning |
Total | 11 / 16 Passed | |
Reviewed
Table of Contents
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