Gemini-Flow automates AI development workflows. It enables operations teams to build and deploy AI agents. It connects to Google's Gemini CLI and supports multi-agent systems. It is ideal for devops and software engineering teams.
git clone https://github.com/clduab11/gemini-flow.githttps://github.com/clduab11/gemini-flow/wiki
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No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/clduab11/gemini-flowCopy the install command above and run it in your terminal.
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Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Using Gemini-Flow, help me automate the deployment process for [PROJECT_NAME] in the [INDUSTRY] sector. Please outline the necessary steps and provide a sample configuration for the Gemini CLI.
### Deployment Steps for Project Alpha 1. **Initialize Project**: Run `gemini init ProjectAlpha` to create the project directory. 2. **Configure Environment**: Set up your environment variables in `config.env`: - `DATABASE_URL=postgres://user:password@localhost:5432/dbname` - `API_KEY=your_api_key` 3. **Deploy Application**: Execute `gemini deploy --project ProjectAlpha` to start the deployment process. 4. **Monitor Logs**: Use `gemini logs ProjectAlpha` to view real-time logs during deployment. By following these steps, your Project Alpha will be successfully deployed in the finance industry, ensuring a smooth and efficient rollout.
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