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ai-agent-workflow

v2.0.1

Published

Transform your repository into an AI Specialist Team. One command to install role-based AI agents for any tech stack.

Readme

AI Agent Workflow

Standardize your AI Development Workflow.

AI Agent Workflow forces your AI tools (Cursor, Claude, Gemini CLI, etc.) to behave like a structured Team of Specialists rather than a generic chatbot.

📺 Demo

AI Agent Workflow Demo Watch how to transform your repo into an AI Specialist Team.

🎯 The Goal

We inject specific Rules and System Prompts into your repository to enforce:

  1. Plan: Understand requirements before coding.
  2. Architect: Define file structures explicitly.
  3. Execute: Strict adherence to project guidelines.
  4. Review: Mandatory verification steps.

🤖 The Team

When you run the setup, you install these personas into your repo:

  • System Orchestrator: The Boss. Enforces the loop.
  • Feature Planner: The Architect. Produces implementation_plan.md.
  • Specialists: Frontend, Backend, QA, Reviewer.

🚀 Getting Started

1. Installation

In your target repository (e.g., ~/Projects/my-app), run:

npx ai-agent-workflow

The setup will ask: "What do you build?"
Choose your role:

  • 🎨 Frontend Developer (React, Vue, Angular, etc.)
  • ⚙️ Backend Developer (Node.js, Flask, Django, etc.)
  • 📱 Mobile Developer (React Native, Flutter, etc.)
  • 🚀 DevOps Engineer (Terraform, Kubernetes, etc.)
  • 📊 Data Engineer (Airflow, dbt, Spark, etc.)
  • 🛠️ IT Administrator (Bash, PowerShell, infrastructure, etc.)

This will:

  • Generate role-specific agent definitions.
  • Create GEMINI_GUIDE.md for your stack.
  • Install .cursor/rules/*.md (agent personas).
  • Configure .gemini/system.md (Orchestrator).
  • Install cleanup.sh (for removal).

2. Don't See Your Stack?

No problem! Create custom agents for any technology:

Example: Backend Flask developer without a Flask agent?

  1. Check the guide: docs/CREATE_CUSTOM_AGENT.md
  2. Create agents/backend-flask-agent.md
  3. Define Flask-specific best practices
  4. Run npx ai-agent-workflow again

The workflow is stack-agnostic — if you can code it, you can create an agent for it.

3. Usage

With Gemini CLI: Just run gemini "Your task". The configured system prompt will make it act as the Orchestrator.

With Cursor: Just start chatting. The .cursorrules file keeps the agents in context.

🧹 Uninstallation

To remove all traces of Gemini Agents from your repo:

./cleanup.sh

📚 Documentation


Built for the Agentic Future.