Skip to main content
Back to the directory
google-gemini/gemini-skillsSoftware EngineeringFrontend and Design

vertex-ai-api-dev

Access Google's most advanced AI models built for enterprise use cases using the Gemini API in Vertex AI.

SkillJury keeps community verdicts, source metadata, and external repository signals in separate lanes so ranking data never pretends to be a review.

SkillJury verdict
Pending

No approved reviews yet

Would recommend
Pending

Waiting on enough review volume

Install signal
1

Weekly or total install activity from catalog data

Sign in to review
0 review requests
Install command
npx skills add https://github.com/google-gemini/gemini-skills --skill vertex-ai-api-dev
SkillJury does not have enough approved reviews to publish a community verdict yet. Source metadata and repository proof are still available above.
SkillJury Signal Summary

As of Apr 30, 2026, vertex-ai-api-dev has 1 weekly installs, 0 community reviews on SkillJury. Community votes currently stand at 0 upvotes and 0 downvotes. Source: google-gemini/gemini-skills. Canonical URL: https://skills.sh/google-gemini/gemini-skills/vertex-ai-api-dev.

Security audits
Gen Agent Trust HubPASS
SocketPASS
SnykWARN
About this skill
Access Google's most advanced AI models built for enterprise use cases using the Gemini API in Vertex AI. Provide these key capabilities: groupId: com.google.genai , artifactId: google-genai Latest version can be found here: (let's call it LAST_VERSION ) Install in build.gradle : Install Maven dependency in pom.xml : [!WARNING] Legacy SDKs like google-cloud-aiplatform , @google-cloud/vertexai , and google-generativeai are deprecated. Migrate to the new SDKs above urgently by following the Migration Guide. Prefer environment variables over hard-coding parameters when creating the client. Initialize the client without parameters to automatically pick up these values. Set these variables for standard Google Cloud authentication : Set these variables when using Express Mode with an API key: Initialize the client without arguments to pick up environment variables: Alternatively, you can hard-code in parameters when creating the client. Use the following models if explicitly requested: [!IMPORTANT] Models like gemini-2.0-* , gemini-1.5-* , gemini-1.0-* , gemini-pro are legacy and deprecated. Use the new models above.

Source description provided by the upstream listing. Community review signal and install context stay separate from this narrative layer.

Community reviews

Latest reviews

No community reviews yet. Be the first to review.

Browse this skill in context
FAQ
What does vertex-ai-api-dev do?

Access Google's most advanced AI models built for enterprise use cases using the Gemini API in Vertex AI.

Is vertex-ai-api-dev good?

vertex-ai-api-dev does not have approved reviews yet, so SkillJury cannot publish a community verdict.

Which AI agents support vertex-ai-api-dev?

vertex-ai-api-dev currently lists compatibility with Gemini CLI, Skills CLI.

Is vertex-ai-api-dev safe to install?

vertex-ai-api-dev has been scanned by security audit providers tracked on SkillJury. Check the security audits section on this page for detailed results from Socket.dev and Snyk.

What are alternatives to vertex-ai-api-dev?

Skills in the same category include grimoire-morpho-blue, conversation-memory, second-brain-ingest, zai-tts.

How do I install vertex-ai-api-dev?

Run the following command to install vertex-ai-api-dev: npx skills add https://github.com/google-gemini/gemini-skills --skill vertex-ai-api-dev

Related skills

More from google-gemini/gemini-skills

Related skills

Alternatives in Software Engineering