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feat: Add Skill for Gemini API on Vertex AI#16

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holtskinner wants to merge 9 commits intogoogle-gemini:mainfrom
holtskinner:vertexai-skill
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feat: Add Skill for Gemini API on Vertex AI#16
holtskinner wants to merge 9 commits intogoogle-gemini:mainfrom
holtskinner:vertexai-skill

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@holtskinner holtskinner commented Feb 20, 2026

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Summary of Changes

Hello @holtskinner, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request introduces a comprehensive skill guide for leveraging the Gemini API within Google Cloud's Vertex AI environment. It aims to streamline the development process for enterprise users by providing clear instructions and code examples for the unified Gen AI SDK across multiple programming languages. The guide covers a wide array of advanced generative AI capabilities, ensuring developers can effectively utilize Gemini's full potential while adhering to Vertex AI's data governance and operational best practices.

Highlights

  • New Vertex AI Gemini Skill: Introduced a new skill (vertex-ai-api-dev) to guide users on integrating the Gemini API with Google Cloud Vertex AI, emphasizing enterprise use cases and data governance.
  • Unified Gen AI SDK Adoption: Provided detailed instructions and code examples for using the unified Gen AI SDK across Python, JavaScript/TypeScript, Go, and Java, explicitly deprecating older SDKs.
  • Advanced Gemini API Capabilities: Documented advanced features such as multimodal inputs, structured output, thinking/reasoning, media generation, content caching, batch prediction, and live bidirectional streaming with code snippets.
  • Model Version Guidance: Included important notes on current and legacy Gemini models, recommending the latest stable versions for production environments on Vertex AI.
Changelog
  • .gitignore
    • Added macOS-specific ignore patterns.
  • skills/vertex-ai-api-dev/SKILL.md
    • Created a new skill definition for vertex-ai-api-dev.
    • Documented Gemini API capabilities on Vertex AI.
    • Listed current and deprecated Generative AI models.
    • Provided SDK installation and initialization examples for Python, JavaScript/TypeScript, Go, and Java.
    • Included advanced Python examples for multimodal inputs, structured output, thinking, media generation, content caching, batch prediction, and live API streaming.
    • Referenced Vertex AI documentation and key considerations for enterprise use.
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  • No human activity has been recorded on this pull request yet.
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Code Review

The pull request introduces a new 'Skill' for Gemini API development on Vertex AI, which is a valuable addition for guiding AI-assisted development. The content correctly emphasizes the transition to the unified Gen AI SDK. However, there are several technical inaccuracies in the code examples for Python and JavaScript that would cause runtime errors if followed literally. Specifically, missing class qualifications and incorrect class names for the new SDKs need to be addressed to ensure the skill provides reliable guidance.

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