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create-subagent

Create custom AI subagents using Markdown files with YAML frontmatter.

2|Updated Mar 10, 2026
Search Tags:#prompt engineering#ai development#customization#agent#subagent#cursor
One-click install
npx skills add https://github.com/zapabob/Skills --skill create-subagent-zapabob
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: create-subagent
Source: https://github.com/zapabob/Skills/tree/main/registry/skills/create-subagent/variants/cursor-rules
Command: npx skills add https://github.com/zapabob/Skills --skill create-subagent-zapabob

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill streamlines the creation of custom AI subagents, enabling users to define specialized AI assistants tailored for specific tasks within their development workflow.

Core Features & Use Cases

  • Specialized AI Assistants: Define and deploy agents with unique system prompts for tasks like code review, debugging, or data analysis.
  • Context Preservation: Isolate agent tasks from the main conversation to maintain focus.
  • Configuration Reuse: Create project-specific or user-level agents for consistent behavior across tasks.
  • Use Case: You need a dedicated AI assistant to meticulously review code for security vulnerabilities before merging. Create a 'security-auditor' subagent with a specific prompt focused on security best practices.

Quick Start

Use the create-subagent skill to define a new subagent named 'code-quality-checker' that proactively reviews code for best practices.

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 development tasks?▼

To create custom AI agents, you define their behavior through Markdown files containing YAML frontmatter and system prompts. This isolates specific AI tasks from your main conversation to maintain context and focus.

What's the best way to configure a subagent for code review in Cursor?▼

Configuring a subagent for code review involves creating a Markdown file with YAML frontmatter specifying the agent's name and description, plus a system prompt detailing your review criteria to ensure proper AI delegation.

Can I reuse AI agent configurations across different projects?▼

Yes, you can reuse AI agent configurations by creating user-level agents for consistent behavior across all tasks, or define project-specific agents to handle specialized workflows within a single repository.

Does creating a custom subagent require specific YAML fields?▼

Yes, creating a custom subagent requires specific YAML fields for name and description within the Markdown frontmatter. Adherence to these fields ensures proper agent delegation and functionality.

Why use a subagent instead of prompting the main AI assistant directly?▼

You use a subagent to preserve context by isolating specialized tasks, such as debugging or security analysis, from the main conversation. This maintains focus and ensures consistent behavior for specific AI tasks.

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