cursor-cli

Delegate large multi-step codebase tasks to Cursor CLI with a shared-state prompt.

5|Updated Apr 23, 2026
One-click install
npx skills add https://github.com/amirkiarafiei/subagent-cli-skills --skill cursor-cli-amirkiarafiei
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: cursor-cli
Source: https://github.com/amirkiarafiei/subagent-cli-skills/tree/main/skills/cursor-cli
Command: npx skills add https://github.com/amirkiarafiei/subagent-cli-skills --skill cursor-cli-amirkiarafiei

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

It reduces context usage and token costs by delegating large, multi-step repository tasks to Cursor CLI while keeping the subagent aligned through a deliberate shared-state handoff.

Core Features & Use Cases

  • Non-interactive subagent delegation: Runs Cursor CLI in programmatic, headless mode so long-horizon work can be executed without interactive sessions.
  • Context handoff to prevent story-splitting: Bundles the original goal, prior decisions, scope, constraints, and verification requirements into a single prompt so Cursor operates with the same assumptions as the orchestrator.
  • Best-fit orchestration scenarios: Use for broad refactors, deep exploration, batch file edits, and feature slices where tactical execution benefits from Cursor’s tool use.

Quick Start

Ask your orchestrator to delegate a large multi-step refactor to Cursor CLI by specifying the full goal, decisions already made, exact scope paths, constraints, required verification commands, and the desired output format.

Frequently Asked Questions about cursor-cli

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

FAQPage Schema
How do I delegate large multi-step codebase refactoring to a headless coding agent?

You can delegate large multi-step refactoring to a headless coding agent by invoking it programmatically with a single prompt containing the full goal, prior decisions, exact scope paths, constraints, and verification commands.

What is context handoff in agentic coding and why does it matter for repository work?

Context handoff in agentic coding bundles the original goal, decisions, scope, and constraints into a single invocation prompt, ensuring the subagent operates with the same assumptions as the orchestrator to prevent story-splitting.

Can I run Cursor CLI non-interactively for batch file edits and broad refactors?

Yes, you can run Cursor CLI non-interactively for batch file edits and broad refactors by using explicit model and mode selection alongside auto-approval flags for deterministic, bounded execution without an interactive session.

What's the best way to preserve orchestrator alignment when delegating deep repository exploration?

The best way to preserve orchestrator alignment during deep repository exploration is providing a shared-state prompt that includes the goal, decisions, scope, constraints, verification requirements, and expected output shape in one invocation.

When should I avoid using non-interactive subagent delegation for codebase tasks?

You should avoid non-interactive subagent delegation for tasks requiring tight interactive feedback loops, as this approach is designed for deterministic, bounded execution of heavy edits, broad refactors, and feature slices instead.

Do I need auto-approval flags and explicit model selection for headless execution of repo tasks?

Yes, headless execution of repo tasks requires auto-approval flags and explicit model and mode selection to ensure deterministic, bounded execution when delegating heavy edits and broad refactors programmatically.