create-subagent

Create specialized Cursor subagents from YAML agent definitions.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/TheFVG/proof-deals --skill create-subagent-thefvg
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: create-subagent
Source: https://github.com/TheFVG/proof-deals/tree/main/docs/agent-index/snapshots/skills-cursor/create-subagent
Command: npx skills add https://github.com/TheFVG/proof-deals --skill create-subagent-thefvg

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill addresses the challenge of creating custom AI subagents for specific, specialized tasks, allowing users to tailor AI capabilities to their unique requirements.

Core Features & Use Cases

  • Custom Subagent Creation: Design and configure subagents for a variety of specialized AI tasks such as code reviews, debugging, or data analysis.
  • Task-Specific Configuration: Set up agents for specific domains, with the ability to define detailed system prompts and behaviors.
  • Location Flexibility: Supports both project-level and user-level subagent storage, with the former being ideal for shared team use and the latter for personal configurations.

Quick Start

To create a subagent for code reviews, run 'create-subagent create code-reviewer'.

Frequently Asked Questions about create-subagent

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

FAQPage Schema
How do I create custom AI agents for specialized tasks like code review?

To create custom AI agents for code review, you need to configure a subagent with a YAML file defining its unique name and description. You can then run the create command to generate an agent with isolated context and custom prompts.

What is a subagent in Cursor and how does it handle isolated contexts?

A subagent in Cursor is a specialized AI agent configured to handle specific tasks within an isolated context. It operates using custom system prompts defined in a YAML file to ensure focused behavior for activities like debugging or data analysis.

Can I set up project-level and user-level AI agents for team use?

Yes, you can set up both project-level and user-level AI agents. Project-level subagents are ideal for shared team configurations, while user-level subagents store personal configurations for individual custom AI tasks.

Do I need a YAML file to configure a custom AI agent?

Yes, a YAML file is required to configure a custom AI agent. The YAML file must define the agent with a unique name and a specific description to properly establish its isolated context and custom behaviors.

How do I configure a debugging agent with custom prompts?

To configure a debugging agent with custom prompts, you define the agent's specific system prompts and behaviors in a YAML file. You then run the creation command to instantiate the subagent for your specialized debugging tasks.

What are the limitations when building specialized AI agents for specific domains?

When building specialized AI agents for specific domains, limitations include the strict requirement of a YAML file for configuration and the necessity to explicitly define unique names and descriptions to establish isolated contexts for custom behaviors.