Vertex Ai Pipeline Creator - Auto-activating skill for GCP Skills. Triggers on: vertex ai pipeline creator, vertex ai pipeline creator Part of the GCP Skills skill category.
35
3%
Does it follow best practices?
Impact
91%
1.03xAverage score across 3 eval scenarios
Passed
No known issues
Optimize this skill with Tessl
npx tessl skill review --optimize ./planned-skills/generated/14-gcp-skills/vertex-ai-pipeline-creator/SKILL.mdQuality
Discovery
7%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 description is essentially a skill name repeated with boilerplate framing ('Auto-activating skill for GCP Skills') and no substantive content. It fails to describe what the skill does, provides no natural trigger terms beyond the skill's own name, and gives no guidance on when Claude should select it. It is among the weakest possible descriptions.
Suggestions
Add concrete actions the skill performs, e.g., 'Creates and configures Vertex AI pipelines, defines pipeline components, sets up training and prediction workflows, and deploys ML pipelines on GCP.'
Add an explicit 'Use when...' clause with natural trigger terms, e.g., 'Use when the user asks about building ML pipelines on GCP, creating Vertex AI pipeline definitions, Kubeflow components, or orchestrating machine learning workflows.'
Include common keyword variations users might say: 'ML pipeline', 'Vertex Pipelines', 'Kubeflow', 'pipeline YAML', 'training pipeline', 'GCP machine learning workflow'.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | The description names the domain ('Vertex AI Pipeline Creator') but provides no concrete actions. There is no mention of what the skill actually does—no verbs like 'creates', 'configures', 'deploys', or 'orchestrates'. It is essentially just a name repeated. | 1 / 3 |
Completeness | The description fails to answer 'what does this do' beyond the name itself, and the 'when' clause is just a repetition of the skill name rather than meaningful trigger guidance. Both dimensions are very weak. | 1 / 3 |
Trigger Term Quality | The only trigger terms listed are 'vertex ai pipeline creator' repeated twice. There are no natural variations a user might say, such as 'ML pipeline', 'Kubeflow', 'pipeline components', 'vertex pipelines', 'training pipeline', or 'GCP ML workflow'. | 1 / 3 |
Distinctiveness Conflict Risk | The mention of 'Vertex AI Pipeline' is somewhat specific to a particular GCP service, which provides some distinctiveness. However, the lack of concrete actions means it could overlap with other GCP or ML pipeline skills. | 2 / 3 |
Total | 5 / 12 Passed |
Implementation
0%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This skill is an empty placeholder with no actionable content whatsoever. It repeatedly names 'vertex ai pipeline creator' without providing any technical guidance, code examples, pipeline component definitions, or workflow steps. It fails on every dimension of the rubric.
Suggestions
Add concrete, executable code examples showing how to define and run a Vertex AI pipeline using the KFP SDK (e.g., @component decorators, pipeline definition, compilation, and submission via aiplatform.PipelineJob).
Define a clear multi-step workflow: 1) Define components, 2) Build pipeline, 3) Compile to JSON, 4) Submit to Vertex AI, 5) Validate pipeline run status—with explicit validation checkpoints.
Remove all the generic filler sections (Purpose, When to Use, Capabilities, Example Triggers) and replace them with actual technical content that teaches how to create Vertex AI pipelines.
Add references to advanced topics (custom containers, caching, scheduling, artifact lineage) in separate linked files for progressive disclosure.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is entirely filler with no substantive information. It explains nothing Claude doesn't already know and repeats 'vertex ai pipeline creator' excessively without providing any actual technical content. | 1 / 3 |
Actionability | There is zero concrete guidance—no code, no commands, no specific steps, no API references, no pipeline definitions. Every section is vague and abstract, describing what the skill supposedly does rather than instructing how to do anything. | 1 / 3 |
Workflow Clarity | No workflow is defined at all. There are no steps, no sequence, no validation checkpoints. The 'step-by-step guidance' is merely claimed but never provided. | 1 / 3 |
Progressive Disclosure | The content is a flat, uninformative page with no references to detailed materials, no links to examples, API docs, or related files. There is nothing to progressively disclose because there is no actual content. | 1 / 3 |
Total | 4 / 12 Passed |
Validation
81%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 9 / 11 Passed
Validation for skill structure
| Criteria | Description | Result |
|---|---|---|
allowed_tools_field | 'allowed-tools' contains unusual tool name(s) | Warning |
frontmatter_unknown_keys | Unknown frontmatter key(s) found; consider removing or moving to metadata | Warning |
Total | 9 / 11 Passed | |
4dee593
Table of Contents
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.