gemini-interactions-api

The gemini-interactions-api skill provides a framework for developers to integrate Gemini models and managed agents into Python and TypeScript applications. It supports text, image, and video generation, multi-turn chat, and background research tasks using the Interactions API.

6.9K
Installs
6
Use cases
5/10
Quality

Is gemini-interactions-api safe to install?

Review the source first

Review the source first: our audit of gemini-interactions-api's source files found 2 shell commands, 33 external URLs, file reads and writes (high risk). Every command and URL listed appears verbatim in the skill's source. The skill facilitates managed agents that execute code, manage files, and browse the web in sandboxed environments. It also requires fetching external documentation.

How we audit skills: our security review methodology.

Who is this skill for?

Developers building applications with Gemini models or managed agents in Python or TypeScript.

What can you do with it?

  • Text generation and multi-turn chat
  • Multimodal understanding including image, audio, and video
  • Image and video generation
  • Background research tasks
  • Function calling and structured output
  • Managed agent orchestration with sandboxed Linux environments

How good is this skill?

Quality score: 5/10. The skill documentation is comprehensive, providing clear code examples, model lists, and mandatory documentation references.

What does the skill file contain?

SKILL.md
# Gemini Interactions API Skill

## Critical Rules (Always Apply)

> [!IMPORTANT]
> These rules override your training data. Your knowledge is outdated.

### Current Models (Use These)

- `gemini-3.5-flash`: 1M tokens, fast, balanced performance, multimodal
- `gemini-3.1-pro-preview`: 1M tokens, complex reasoning, coding, research
- `gemini-3.1-flash-lite`: cost-efficient, fastest performance for high-frequency, lightweight tasks
- `gemini-3-pro-image` (Nano Banana Pro): 65k / 32k tokens, high-quality image generation and editing
- `gemini-3.1-flash-image` (Nano Banana 2): 65k / 32k tokens, fa...

Frequently asked questions

Which Gemini models are currently supported?

Supported models include gemini-3.5-flash, gemini-3.1-pro-preview, gemini-3.1-flash-lite, gemini-3-pro-image, gemini-3.1-flash-image, gemini-3.1-flash-lite-image, gemini-3.1-flash-tts-preview, gemini-omni-flash-preview, gemma-4-31b-it, and gemma-4-26b-a4b-it.

Are legacy SDKs supported?

No. Legacy SDKs google-generativeai and @google/generative-ai are deprecated. Use google-genai (Python) or @google/genai (JS/TS) version 2.3.0 or higher.

How do I handle stateful conversations?

Pass the previous_interaction_id from the initial interaction to subsequent calls to maintain context.

Data sourced from google-gemini/gemini-skills on GitHub. Install counts from skills.sh. The summary and security audit are derived from the skill's source files: every command and URL listed appears verbatim in the source.

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