create-subagent

Create isolated AI subagents with customized prompts and YAML frontmatter.

1|Updated Nov 17, 2025
One-click install
npx skills add https://github.com/YanxiChen-gh/Dotfiles --skill create-subagent-yanxichen-gh
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: create-subagent
Source: https://github.com/YanxiChen-gh/Dotfiles/tree/main/cursor/skills/create-subagent
Command: npx skills add https://github.com/YanxiChen-gh/Dotfiles --skill create-subagent-yanxichen-gh

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Creates dedicated subagents to handle specialized AI tasks in isolated contexts, enabling reusable configurations across projects and preserving the main conversation state.

Core Features & Use Cases

  • Define project- and user-level subagents with tailored prompts for specific domains.
  • Route tasks to the appropriate subagent using clear delegation rules.
  • Share and version-control subagents to promote consistency across teams.

Quick Start

Use the create-subagent workflow to build a new subagent by following the steps outlined.

Frequently Asked Questions about create-subagent

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

FAQPage Schema
How do I create AI subagents for specialized tasks in Cursor?▼

You can create isolated AI subagents in Cursor by defining a YAML frontmatter with name and description, writing a system prompt body, and configuring optional script, reference, or asset directories to handle specialized tasks like code review or debugging.

What are project-level and user-level subagents for AI workflows?▼

Project-level and user-level subagents are isolated AI configurations with customized prompts. Project-level subagents are version-controlled for team consistency, while user-level subagents preserve the main conversation state across individual workflows.

How do I route tasks to the appropriate AI subagent?▼

You route tasks to the appropriate AI subagent by defining clear delegation rules within the subagent configuration. This isolates domain-specific contexts, such as routing debugging tasks to a debugger subagent while preserving the main conversation state.

Does this subagent management workflow require specific dependencies or components?▼

No specific dependencies or components are required. The subagent management workflow relies on a YAML frontmatter structure combined with a system prompt body and optional directories to build isolated AI assistants within Cursor.

Can I share and version-control AI subagents across projects?▼

Yes, you can share and version-control AI subagents across projects. Defining project-level subagents with tailored prompts promotes consistency across teams and enables reusable configurations for domain-specific assistants within Cursor.

When should I build isolated AI subagents instead of using the main conversation?▼

Build isolated AI subagents when you need dedicated assistants for specialized tasks like code reviewing or debugging. This preserves the main conversation state and enables reusable, domain-specific prompt configurations across projects.