A high-performance gateway providing direct access to Google Gemini models with 1 million token context windows without requiring a Google Cloud account.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install gemini-api
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install gemini-api using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Gemini API Gateway?
The Gemini API skill offers a robust bridge between the Openclaw Skills framework and Google's most advanced generative models, including Gemini 3 Pro and Gemini 2.5 Flash. This integration allows developers to process massive datasets, entire codebases, or long-form video content within their AI agent workflows. By leveraging the SkillBoss backend, users benefit from an OpenAI-compatible interface that simplifies migration and multi-model orchestration.
This skill is designed for high-throughput environments where speed and cost-efficiency are paramount. Whether you are using Gemini 2.5 Flash for rapid responses or Gemini 3 Pro for complex reasoning, this gateway ensures seamless connectivity. It eliminates the administrative overhead of managing Google Cloud projects while providing zero-markup pricing on token usage.
Gemini API Gateway Use Cases
- Analyzing entire repositories or long documents using the massive 1 million token context window.
- Building low-latency chat applications using the Gemini 2.5 Flash Lite model for minimal costs.
- Performing multi-modal analysis including video and image processing directly through the agent.
- Creating resilient AI systems that can failover to alternative providers if primary models are unavailable.
How Gemini API Gateway Works
- The agent initializes the connection using the provided SkillBoss API key.
- Users specify the desired model variant, such as Gemini 2.5 Pro or Flash, via standard command prefixes.
- The skill formats the request into an OpenAI-compatible payload and transmits it to the high-speed gateway.
- The response is streamed back to the agent, allowing for real-time processing of large-scale context.
Gemini API Gateway Setup
To integrate this capability into your Openclaw Skills environment, follow these steps:
- Obtain your API key from the SkillBoss console.
- Install the setup script:
curl -fsSL https://skillboss.co/openclaw-setup.sh | bash
- Export your API key as an environment variable:
export SKILLBOSS_API_KEY='your_api_key_here'
- Select your model and begin prompting.
Gemini API Gateway Data Schema & Taxonomy
The skill utilizes the following model configurations and metadata for request routing:
| Model Variant | Context Window | Best Use Case |
|---|---|---|
| gemini-3-pro | 1,000,000 tokens | Complex reasoning and large codebase analysis |
| gemini-2.5-pro | 1,000,000 tokens | High-accuracy tasks requiring long memory |
| gemini-2.5-flash | 1,000,000 tokens | High-speed production workloads |
| gemini-2.5-flash-lite | 1,000,000 tokens | Ultra-low cost, high-volume processing |
Gemini API Gateway Advanced Features
- Multi-model failover support ensures your Openclaw Skills continue functioning by automatically switching to Claude or GPT models if Gemini is unreachable.
- Zero-markup pricing architecture ensures you pay the direct provider rates for all token consumption.
- Native multi-modal support allows for the analysis of video files and complex imagery within a single context window.
- OpenAI-compatible API schema allows for drop-in replacement in existing AI development pipelines.
SKILL.md
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