Task Router Skill
Task Router
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.
Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.
SkillHub CLI
skillhub install alimostafaradwan/gemini-assistantExaminez la source et la compatibilité, puis suivez les étapes d’installation.
Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.
A general-purpose AI assistant powered by Google's Gemini API. Supports both text and voice interactions.
cd ~/.openclaw/agents/kashif/skills/gemini-assistant && python3 handler.py "Your question or message"
cd ~/.openclaw/agents/kashif/skills/gemini-assistant && python3 handler.py --audio /path/to/audio.ogg "optional context"
The handler returns a JSON response:
{
"message": "[[audio_as_voice]]\nMEDIA:/tmp/gemini_voice_xxx.ogg",
"text": "Text response from Gemini"
}
Set your Gemini API key:
export GEMINI_API_KEY="your-api-key-here"
Or create a .env file in the skill directory:
GEMINI_API_KEY=your-api-key-here
The default model is gemini-2.5-flash-native-audio-preview-12-2025 for audio support.
To use a different model, edit handler.py:
MODEL = "gemini-2.0-flash-exp" # For text-only
google-genai>=1.0.0
numpy>=1.24.0
soundfile>=0.12.0
librosa>=0.10.0 (for audio input)Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.
# 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 FlashTask Router
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