gemini-assistant
General-purpose AI assistant using Gemini API with voice and text support. Use when you need a smart AI assistant that can answer questions, have conversations, or help with general tasks using Google's Gemini models with audio/text capabilities.
Best use case
gemini-assistant is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
General-purpose AI assistant using Gemini API with voice and text support. Use when you need a smart AI assistant that can answer questions, have conversations, or help with general tasks using Google's Gemini models with audio/text capabilities.
Teams using gemini-assistant should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/gemini-assistant/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How gemini-assistant Compares
| Feature / Agent | gemini-assistant | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
General-purpose AI assistant using Gemini API with voice and text support. Use when you need a smart AI assistant that can answer questions, have conversations, or help with general tasks using Google's Gemini models with audio/text capabilities.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# Gemini Assistant
A general-purpose AI assistant powered by Google's Gemini API. Supports both text and voice interactions.
## Usage
### Text Mode
```bash
cd ~/.openclaw/agents/kashif/skills/gemini-assistant && python3 handler.py "Your question or message"
```
### Voice Mode
```bash
cd ~/.openclaw/agents/kashif/skills/gemini-assistant && python3 handler.py --audio /path/to/audio.ogg "optional context"
```
## Response Format
The handler returns a JSON response:
```json
{
"message": "[[audio_as_voice]]\nMEDIA:/tmp/gemini_voice_xxx.ogg",
"text": "Text response from Gemini"
}
```
## Configuration
Set your Gemini API key:
```bash
export GEMINI_API_KEY="your-api-key-here"
```
Or create a `.env` file in the skill directory:
```
GEMINI_API_KEY=your-api-key-here
```
## Model Options
The default model is `gemini-2.5-flash-native-audio-preview-12-2025` for audio support.
To use a different model, edit `handler.py`:
```python
MODEL = "gemini-2.0-flash-exp" # For text-only
```
## Requirements
- `google-genai>=1.0.0`
- `numpy>=1.24.0`
- `soundfile>=0.12.0`
- `librosa>=0.10.0` (for audio input)
- FFmpeg (for audio conversion)
## Features
- 🎙️ Voice input/output support
- 💬 Text conversations
- 🔧 Configurable system instructions
- ⚡ Fast responses with Gemini FlashRelated Skills
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