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create-subagent

Create custom subagents with YAML frontmatter and Markdown prompts for Cursor environments.

5|2|Updated Jan 10, 2017
Search Tags:#yaml#subagent#debugger#ai-assistant#cursor#prompt#code-reviewer
One-click install
npx skills add https://github.com/brujack/dotfiles --skill create-subagent-brujack
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: create-subagent
Source: https://github.com/brujack/dotfiles/tree/main/.cursor/skills-cursor/create-subagent
Command: npx skills add https://github.com/brujack/dotfiles --skill create-subagent-brujack

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill addresses the challenge of managing complex AI interactions by enabling the creation of isolated, specialized subagents that maintain focused contexts without overwhelming the main conversation.

Core Features & Use Cases

  • Custom Subagent Creation: Define subagents with YAML frontmatter for names and descriptions, plus Markdown system prompts tailored to specific domains.
  • Scoped Deployment: Place subagents at project or user levels for targeted or reusable application across workflows.
  • Use Case: For a development team, create a code-reviewer subagent in the project directory to automatically analyze pull requests for quality and security issues, ensuring consistent feedback without manual delegation.

Quick Start

Use the create-subagent skill to build a debugger subagent for troubleshooting code errors in my Python project.

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 specialized AI subagent in Cursor to preserve context during focused tasks?▼

To create a specialized AI subagent, you define isolated prompts using YAML frontmatter for names and descriptions, plus Markdown system prompts tailored to specific domains. This preserves context by preventing focused tasks from overwhelming the main conversation.

What is the best way to configure a code-reviewer subagent for automatic pull request analysis?▼

The best way to configure a code-reviewer subagent is to place it in the project directory using YAML frontmatter and Markdown system prompts. This scopes deployment to automatically analyze pull requests for quality and security issues, ensuring consistent feedback.

Can I scope AI subagents to be reusable across multiple projects instead of just one?▼

Yes, you can scope AI subagents at the user level for reusable application across multiple workflows, or place them at the project level for targeted deployment. This scoped deployment ensures behavioral specialization exactly where needed.

How do I set up a debugger subagent to troubleshoot Python project errors without losing conversation history?▼

You set up a debugger subagent by crafting a custom Markdown system prompt with YAML frontmatter. This creates an isolated environment for troubleshooting Python project errors, maintaining focused contexts without losing main conversation history.

When do I need to build custom subagents instead of using standard AI assistant prompts?▼

You need to build custom subagents when managing complex AI interactions that require behavioral specialization. Isolated subagents maintain focused contexts for specific domains like code review, preventing the main conversation from being overwhelmed.

Does configuring domain-specific assistants in Cursor require external dependencies?▼

No, configuring domain-specific assistants requires no external dependencies. You create custom subagents entirely using YAML frontmatter and Markdown system prompts within the Cursor environment, enabling isolated contexts and reusable configurations directly.

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