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.
git clone https://github.com/saeed-vayghan/gemini-agent-skills.gitGemini Agent Skills is a CLI tool that converts Anthropic Claude Code configurations—including plugins, agents, and skills—into Google Gemini Agent Skills format. It uses Gemini 2.0 Flash to intelligently parse and restructure existing agent definitions for use in the Gemini Agent Playground. The tool supports dual conversion modes: Plugin Mode merges multiple agents into a unified skill, while Agents Mode batch-converts individual markdown files into separate skills. Features include AI-powered directory analysis, smart asset extraction from code blocks, automatic broken link detection, and registry generation. Operations teams can pick specific agents from the modular repository or convert custom Claude prompts instantly, building tailored teams of AI experts for their workflows.
Clone the repository, install dependencies with npm install, add your Google Gemini API key to a .env file, then run the CLI tool to convert Claude agent configurations. Use Plugin Mode to merge multiple agents into one unified skill, or Agents Mode to convert individual agent files into separate skills. Copy generated skills to your .gemini/skills directory and use them directly in the Gemini CLI.
Migrate existing Claude Code agents to Gemini without manual reconfiguration
Convert custom Claude agent prompts into Gemini-compatible skill format
Batch convert multiple agent markdown files into independent Gemini Skills
Extract and organize code assets from agent definitions automatically
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/saeed-vayghan/gemini-agent-skillsCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
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.
# 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.Google's multimodal AI model and assistant
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