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cursor-agent

Orchestrate AI-assisted coding workflows via the Cursor CLI across macOS, Linux, and Windows.

Updated Jan 31, 2026
Search Tags:#workflow#tmux#terminal#software-engineering#cursor#ai-assist#cursor-cli
One-click install
npx skills add https://github.com/Lutra23/content-workflow --skill cursor-agent
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: cursor-agent
Source: https://github.com/Lutra23/content-workflow/tree/main/skills/cursor-agent
Command: npx skills add https://github.com/Lutra23/content-workflow --skill cursor-agent

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Cursor CLI workflows for AI-assisted software engineering reduce friction in terminal-based collaboration by centralizing control, configuration, and automation.

Core Features & Use Cases

  • Model switching with agent models, --model flag, and /models for dynamic AI selection.
  • MCP server management with /mcp enable and /mcp disable to adjust runtime capabilities.
  • Rules & commands creation via /rules and /commands enabling on-the-fly automation.
  • Interactive features, keyboard shortcuts, and cross-platform support for macOS, Linux (Ubuntu), and Windows WSL, including tmux headless automation.
  • Multi-file and context-aware workflows for code review, debugging, and CI/CD integration.

Quick Start

Install the Cursor CLI, authenticate with agent login, and start an interactive session.

Frequently Asked Questions about cursor-agent

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate Cursor CLI workflows in a headless terminal environment?▼

You can automate Cursor CLI workflows headlessly by using tmux automation to manage interactive sessions on macOS, Linux, and Windows WSL. This enables seamless terminal-based AI-assisted coding without manual intervention.

What is the best way to switch AI models in a Cursor CLI agent session?▼

Switch AI models in a Cursor CLI agent session using the `agent models` command, the `--model` flag, or the `/models` interactive command. This allows dynamic AI selection during your software engineering workflow.

Does the Cursor CLI support cross-platform usage for AI-assisted coding?▼

Yes, Cursor CLI supports cross-platform AI-assisted coding across macOS, Linux with Ubuntu, and Windows WSL. It provides installation guidance, command references, and terminal automation for each environment.

How do I create custom rules and commands for Cursor CLI automation?▼

Create custom rules and commands for Cursor CLI automation on-the-fly using the `/rules` and `/commands` features. This enables tailored interactive and non-interactive workflow management for code review and debugging.

Can I manage MCP server capabilities during a Cursor CLI workflow?▼

Yes, you can manage MCP server capabilities during a Cursor CLI workflow by using the `/mcp enable` and `/mcp disable` commands to dynamically adjust runtime capabilities and context-aware features.

Why do I need tmux for Cursor CLI interactive sessions?▼

Tmux is needed for Cursor CLI interactive sessions to enable headless automation and persistent terminal-based collaboration. It ensures multi-file and context-aware workflows maintain state across CI/CD integration and code reviews.

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