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Google Gemini Api

Checked
ovachiever·vlatest·ai-ml

Provides API guidance and assistance for building AI and machine learning applications.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add ovachiever/droid-tings --skill google-gemini-api -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

ovachiever

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Only contacts known or declared hosts: generativelanguage.googleapis.com.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

    Hosts contacted

    generativelanguage.googleapis.commodel provider

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned ovachiever/droid-tings at 7acd12a754.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
7acd12a754
Manifest
skills/google-gemini-api/SKILL.md
Scanned
30 files, 7,320 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill provides guidance and assistance for working with the Google Gemini API, specifically focusing on current best practices and migration from deprecated SDKs. It enables AI agents to generate text, process multimodal inputs like images, video, audio, and PDFs, utilize function calling, manage chat interactions, and leverage advanced features such as context caching, code execution (with a Python interpreter), and grounding responses with real-time Google Search results. The skill supports both the Node.js SDK (@google/genai) and fetch approaches for interacting with the API.

When to use it

  • You're migrating from the deprecated @google/generative-ai SDK and need a migration guide.
  • You want to build applications that utilize Google Gemini’s multimodal capabilities (images, video, audio, PDFs).
  • You require code execution within your AI agent using a built-in Python interpreter.
  • You need to ground responses with up-to-date information from Google Search and include citations.
  • You want to optimize costs by implementing context caching for Gemini API calls.

Key capabilities

  • Text Generation (basic & streaming)
  • Multimodal Input Processing (images, video, audio, PDFs)
  • Function Calling (basic & parallel execution)
  • System Instructions and Multi-turn Chat Management
  • Thinking Mode Configuration
  • Generation Parameter Control (temperature, top-p, top-k, stop sequences)
  • Node.js SDK (@google/genai) and Fetch API Support
  • Context Caching for Cost Optimization
  • Code Execution with a Python Interpreter
  • Grounding Responses with Google Search & Citations

Example prompts

  • "Show me how to migrate my code from @google/generative-ai to the current SDK."
  • "Generate an image description using Gemini and then summarize it."
  • "Execute this Python code snippet: print('Hello, world!')"
  • "Answer the question 'What is the capital of France?' and cite your source from Google Search."

Tips & gotchas

  • SDK Version: Ensure you are using @google/[email protected]. The deprecated @google/generative-ai SDK will be sunset on November 30, 2025.
  • Environment Variables: You'll need to set the GEMINI_API_KEY environment variable for authentication.
  • Gemini 3 Preview: Be aware that Gemini 3 models (e.g., gemini-3-pro-preview) are in a preview release and may have limited documentation.