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Gemini Live Api Dev

Official
google-gemini·vlatest·ai-ml·Apache-2.0

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 google-gemini/gemini-skills --skill gemini-live-api-dev -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

google-gemini

Matched to the vendor's own GitHub organisation.

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

    Makes no network calls.

    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.

  • 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 google-gemini/gemini-skills at 6fee1bec62.

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

Commit
6fee1bec62
Manifest
skills/gemini-live-api-dev/SKILL.md
Scanned
2 files, 546 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

The gemini-live-api-dev skill provides developers with direct access to the Gemini Live API for building real-time conversational agents. It enables the creation of applications that leverage Google's advanced multimodal capabilities for dynamic, interactive user experiences.

When to use it

  • Building voice-enabled chatbots that require low-latency responses for customer support or companionship.
  • Developing multimodal interfaces where users can interact with text, audio, and images simultaneously.
  • Prototyping real-time AI features for mobile apps or web platforms needing Google's latest model updates.
  • Integrating generative AI into existing workflows without managing complex local inference infrastructure.

Key capabilities

  • Direct integration with the Gemini Live API for live conversation generation.
  • Support for multimodal inputs including text, audio, and image data.
  • Real-time streaming of responses for seamless user interaction.
  • Access to Google's state-of-the-art language models via a standardized developer interface.

Example prompts

  • "Create a real-time voice assistant that responds to my questions about current events using the Gemini Live API."
  • "Build a multimodal chatbot that can analyze uploaded images and provide detailed descriptions in natural language."
  • "Design a customer service agent that streams live responses to user queries with minimal latency."

Tips & gotchas

Ensure you have valid API credentials from Google Cloud before attempting integration, as unauthorized access will fail. Be mindful of rate limits imposed by the Live API during high-volume testing phases to avoid service interruptions.