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gcp-examples-expert

Generate production-ready Google Cloud code examples from official repositories including ADK samples, Genkit templates, Vertex AI notebooks, and Gemini patterns. Use when asked to "show ADK example" or "provide GCP starter kit". Trigger with relevant phrases based on skill purpose.

56

Quality

Does it follow best practices?

Impact

No eval scenarios have been run

SecuritybySnyk

Passed

No known issues

SKILL.md
Quality
Evals
Security

Quality

Content

57%

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

Well-structured with strong progressive disclosure into real reference files, but the instructions and examples stay descriptive rather than executable and the workflow lacks validation checkpoints.

Suggestions

Add at least one minimal runnable code snippet (e.g. an ADK agent scaffold or a gcloud deploy command) in the body so guidance is copy-paste ready, not just pointers.

Insert an explicit validation/verification step in the workflow (e.g. 'lint the generated example', 'gcloud run services describe' to confirm deploy) with a fix-and-retry loop.

Trim the Overview so it does not duplicate the frontmatter description, and tighten the instruction list to reduce token overhead.

DimensionReasoningScore

Conciseness

The body assumes Claude's competence with no concept-padding and is content-dense, but the Overview restates the frontmatter description and the instruction and example lists run long enough to tighten.

2 / 3

Actionability

It cites specific bundle files and real 'gcloud' commands in the error table, yet the 10 instructions and scenario examples are descriptive prose with no executable code in the body — concrete but incomplete rather than copy-paste ready.

2 / 3

Workflow Clarity

The 10 numbered steps give a clear sequence, but there are no validation or verification checkpoints or fix-and-retry feedback loops, so it falls short of the explicit-checkpoint anchor.

2 / 3

Progressive Disclosure

A lean overview points to one-level-deep references (code-example-categories.md, workflow.md, best-practices-applied.md, errors.md, example-interactions.md) that are all verified real files, clearly signaled via ${CLAUDE_SKILL_DIR}/references/.

3 / 3

Total

9

/

12

Passed

Description

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.

A solid, third-person description that covers what and when with a clear GCP niche, but its trigger terms are too narrow and the capability list undersells the deployment/monitoring work the skill performs.

Suggestions

Replace the filler 'Trigger with relevant phrases based on skill purpose' with concrete natural triggers such as 'GCP agent example', 'Vertex AI starter code', or 'Genkit flow template'.

Broaden the action list beyond 'generate code examples' to mention deployment config, monitoring, and IaC templating that the body actually provides.

Add common user variations (e.g. 'Google Cloud sample', 'ADK starter kit') so the trigger set matches how users actually phrase these requests.

DimensionReasoningScore

Specificity

Names the GCP domain and concrete source categories ('ADK samples, Genkit templates, Vertex AI notebooks, and Gemini patterns') but the core action is singular ('Generate production-ready Google Cloud code examples') and omits the deployment/monitoring/IaC actions the body actually delivers.

2 / 3

Completeness

It explicitly states what it does (generate GCP code examples from official repos) and when to use it ('Use when asked to "show ADK example" or "provide GCP starter kit"'), satisfying both halves.

3 / 3

Trigger Term Quality

Two explicit user phrases are quoted ('show ADK example', 'provide GCP starter kit') but they are narrow and jargon-laden, missing common variations, and the trailing 'Trigger with relevant phrases based on skill purpose' is empty filler.

2 / 3

Distinctiveness Conflict Risk

The GCP code-example niche with repo-specific triggers (ADK, Genkit, Vertex AI) is clearly distinct and unlikely to fire for unrelated skills.

3 / 3

Total

10

/

12

Passed

Validation

87%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation14 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

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

14

/

16

Passed

Repository
jeremylongshore/claude-code-plugins-plus-skills
Reviewed

Table of Contents

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