cut-it

Slice plans into ordered execution phases with dependency handling.

436|57|Updated May 30, 2026
One-click install
npx skills add https://github.com/TheOrcDev/videorc --skill cut-it
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: cut-it
Source: https://github.com/TheOrcDev/videorc/tree/main/.agents/skills/cut-it
Command: npx skills add https://github.com/TheOrcDev/videorc --skill cut-it

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill streamlines the process of slicing a plan into ordered, self-contained phases for AI agents to execute one at a time, ensuring codebase stability and efficient workflow management.

Core Features & Use Cases

  • Plan Slicing: Divides a plan into workable slices, each with its own goal, dependencies, and execution path.
  • Dependency Ordering: Ensures that slices are ordered according to dependencies, facilitating sequential execution.
  • Codebase Stability: Each slice leaves the codebase functional, with tests passing, to provide a safe commit point.
  • Use Case: For example, a software project plan can be split into manageable phases, each ready for independent AI agent execution.

Quick Start

To begin slicing a plan, provide the text of the plan or a pointer to a document, and use the '/cut-it' command to generate the sliced plan phases.

Frequently Asked Questions about cut-it

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

FAQPage Schema
How do I slice a software development plan into phases for AI agents?

To slice a software development plan into phases for AI agents, you provide the plan text or document pointer and use the '/cut-it' command. The Skill then segments the plan into ordered, self-contained phases based on goals and dependencies.

What is plan slicing in AI workflow automation?

Plan slicing in AI workflow automation is the process of dividing a project plan into workable, independent segments. Each slice has its own goal and execution path, ensuring AI agents execute tasks sequentially while maintaining codebase stability.

How does dependency ordering work when segmenting plans for codebase management?

Dependency ordering ensures that segmented plan slices are arranged sequentially according to their dependencies. This allows AI agents to execute phases in the correct order, preventing execution path conflicts and maintaining a functional codebase throughout the workflow.

Can I use automated plan slicing for complex codebase verification?

Yes, automated plan slicing handles codebase verification by ensuring each work slice leaves the codebase functional with passing tests. This provides a safe commit point after each phase execution, suitable for complex software development workflows.

What is the best way to automate work item segmentation for sequential AI execution?

The best way to automate work item segmentation is using plain text processing and pattern matching to divide plans based on goals. This approach creates ordered, self-contained slices that facilitate sequential AI agent execution without workflow interruption.