Building Enterprise Workflows with the Gemini CLI
Configure Gemini CLI for enterprise AI workflows with ready-to-run templates
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Gemini CLI is quite verbose when writing code and often misses the key points. However, every talent has its purpose - Gemini 3’s ultra-long context and multimodal recognition still hold an unshakeable position.
I often hear friends asking whether a model is good to use or not. The usefulness doesn’t lie in the model itself, but in the model’s application scenarios. Gemini CLI is a natural Agent foundation, most suitable for workflow mode.
This article provides complete configuration files and corresponding application scenarios, including GEMINI.md templates, custom commands, MCP server integration, and automated workflows to build efficient enterprise-level AI project development and operations processes. You can use it directly by copying and pasting.
A Basic GEMINI.md Configuration Example
Project-Level GEMINI.md Complete Template:



