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create-subagent

Create custom AI subagents with YAML frontmatter and Markdown system prompts.

1|Updated Jul 8, 2022
Search Tags:#workflow#prompt engineering#ai#customization#agent#subagent
One-click install
npx skills add https://github.com/jiito/dotfiles --skill create-subagent-jiito
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: create-subagent
Source: https://github.com/jiito/dotfiles/tree/main/.agents/skills/create-subagent
Command: npx skills add https://github.com/jiito/dotfiles --skill create-subagent-jiito

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill streamlines the creation of custom AI subagents, enabling specialized assistance for focused tasks and improved workflow management.

Core Features & Use Cases

  • Custom Agent Creation: Define and deploy specialized AI agents with unique system prompts.
  • Context Preservation: Isolate agent tasks for focused exploration without cluttering main conversations.
  • Use Case: You need an AI assistant specifically for reviewing code quality and security. Create a 'code-reviewer' subagent with a detailed prompt outlining review criteria and best practices.

Quick Start

Use the create-subagent skill to create a new subagent named 'code-reviewer' with a description for code quality checks.

Frequently Asked Questions about create-subagent

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

FAQPage Schema
How do I create a custom AI subagent for specialized tasks?▼

To create a custom AI subagent, you define its scope, file format, and system prompts. You must use YAML frontmatter to specify the agent's name and description, while the Markdown body serves as the system prompt for focused AI tasks.

What is the best way to preserve context when running focused AI workflows?▼

The best way to preserve context is by creating subagents to isolate specific tasks. This approach allows for focused exploration without cluttering your main conversation, ensuring specialized assistance and improved workflow management.

Can I configure AI agents at both project and user levels?▼

Yes, you can configure custom AI agents at both project and user levels. This flexibility allows you to define specialized agent configurations tailored to specific projects or available globally for your user environment.

What file format is required for defining custom AI agent configurations?▼

Defining custom AI agents requires Markdown files with YAML frontmatter. The YAML section must contain the agent's name and description, and the Markdown body acts as the detailed system prompt guiding the agent's behavior.

How does a subagent improve prompt engineering and workflow management?▼

A subagent improves prompt engineering by isolating specific instructions and context for specialized tasks. This prevents main conversation clutter, streamlines the creation of focused agents, and enhances overall AI workflow management.

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