gemini-agent-skills

🥈Silver

Convert and optimize Claude Code agents for Google Gemini. Operations teams use this to integrate AI agents into their workflows, connecting to Gemini's ecosystem and enhancing automation capabilities.

800Updated 1w ago

Intermediate30min to implementautomation

Saves ~240 min per use

Quick InstallView Source

git clone https://github.com/saeed-vayghan/gemini-agent-skills.git

Works with:

Claude

Overview

About This Skill

Setup & Installation

Quick Install

No install command available. Check the GitHub repository for manual installation instructions.

Alternative Install (Git Clone)

git clone https://github.com/saeed-vayghan/gemini-agent-skills

Requirements

Claude Code or compatible AI agent
Works with: Claude

Quick Start Guide

Install the Skill

Copy the install command above and run it in your terminal.

Open Your AI Agent

Launch Claude Code, Cursor, or your preferred AI coding agent.

Try It Out

Use the prompt template or examples below to test the skill.

Customize

Adapt the skill to your specific use case and workflow.

Usage Examples

Prompt Template

Convert the following Claude Code agent configuration to Google Gemini format. Here is the [AGENT_CONFIGURATION]: [PASTE_CONFIGURATION_HERE]. Ensure the conversion maintains all functionality and optimizes for Gemini's ecosystem. Include any necessary adjustments for API endpoints, authentication, and data processing.

Example Output

# Google Gemini Agent Configuration

## Converted Agent: Data Processing Automation

### Description
Converts and optimizes the 'Data Processing Automation' Claude Code agent for Google Gemini. This agent automates data extraction, transformation, and loading (ETL) processes for [COMPANY] in the [INDUSTRY] sector.

### Configuration
```json
{
  "agent_name": "Data_Processing_Automation",
  "description": "Automates ETL processes for [COMPANY]",
  "version": "1.0",
  "tools": [
    {
      "name": "Data_Extractor",
      "type": "API",
      "endpoint": "https://api.gemini.google.com/v1/extract",
      "auth": {
        "type": "API_KEY",
        "key": "gemini_api_key_here"
      }
    },
    {
      "name": "Data_Transformer",
      "type": "Local",
      "script": "transform_data.py",
      "parameters": {
        "input_format": "CSV",
        "output_format": "JSON"
      }
    },
    {
      "name": "Data_Loader",
      "type": "Database",
      "connection": {
        "type": "PostgreSQL",
        "host": "gemini-db.example.com",
        "port": 5432,
        "database": "production",
        "user": "gemini_user",
        "password": "secure_password_here"
      }
    }
  ],
  "workflow": [
    {
      "tool": "Data_Extractor",
      "input": {
        "source": "[DATA_SOURCE]"
      }
    },
    {
      "tool": "Data_Transformer",
      "input": {
        "data": "{{Data_Extractor.output}}"
      }
    },
    {
      "tool": "Data_Loader",
      "input": {
        "data": "{{Data_Transformer.output}}",
        "table": "processed_data"
      }
    }
  ]
}
```

### Notes
- The agent has been optimized for Google Gemini's API endpoints and authentication methods.
- The data transformation script has been updated to handle Gemini's data processing requirements.
- The database connection details have been adjusted for Gemini's recommended configurations.