skills.rest
YurainSoon
YurainSoonCOMMUNITY
Explore all skills by this author →
GitHub

create-agent

Create agent files with YAML frontmatter and system-prompt bodies.

Updated Apr 19, 2026
Search Tags:#workflow#agent#orchestrator#define#prompt-design#system-prompt
One-click install
npx skills add https://github.com/YurainSoon/research-director --skill create-agent-yurainsoon
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: create-agent
Source: https://github.com/YurainSoon/research-director/tree/main/.claude/skills/create-agent
Command: npx skills add https://github.com/YurainSoon/research-director --skill create-agent-yurainsoon

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The agent-definition framework helps users create, modify, or redesign an agent file for this project, ensuring consistent structure and clear boundaries between agent responsibilities and orchestrator control.

Core Features & Use Cases

  • Self-contained agent files with YAML frontmatter and a dedicated system-prompt body.
  • Guidance for frontmatter fields (name, description, model, tools) and optional settings, plus how to structure the body.
  • Use cases include writing, creating, updating, or redesigning agents and deciding how agent prompts should be structured.

Quick Start

Create an agent file with proper frontmatter and a self-contained system-prompt body as described.

Frequently Asked Questions about create-agent

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

FAQPage Schema
How do I define an agent with a system prompt and frontmatter?▼

Defining an agent requires YAML frontmatter specifying name, description, model, and tools, paired with a self-contained system-prompt body. This structure ensures clear boundaries between agent responsibilities and orchestrator control.

What is the required structure for an agent file in a workflow orchestrator?▼

An agent file structure requires YAML frontmatter for core settings like model and tools, and a dedicated body for the system prompt. Optional resources and guardrails can be added to guarantee safe, interoperable agent definitions.

How do I update or redesign an existing agent prompt?▼

Updating or redesigning an agent prompt involves modifying the self-contained system-prompt body while maintaining the required frontmatter fields. This ensures consistency across agent and orchestrator boundaries during prompt redesign.

Do I need specific tools to create self-contained agents?▼

No specific external tools are required to create self-contained agents. The framework automates the creation and management of agent definitions by specifying required frontmatter fields and body structure directly.

How do guardrails work when designing agent prompts?▼

Guardrails are optional settings included in the agent definition to guarantee safe, interoperable agent operations. They specify boundaries within the system prompt to maintain safe behavior across orchestrator workflows.

Can I use this framework to manage multiple agents in an orchestrator?▼

Yes, the framework automates management of self-contained agent definitions and ensures consistency across orchestrator boundaries. It standardizes frontmatter and prompt structure for safe interoperability between multiple agents.

Related Skills

Explore More Software Engineering Skills→
HechaoYannetHechaoYannet

create-architecture

Generate a master architecture document from GDDs, ADRs, and governance constraints.

Community
Advanced
bennybennisonbennybennison

eval-driven-development

Define expected outcomes and run pass@k evals to validate agent behavior changes.

Community
Intermediate
zhangzhang-111-izhangzhang-111-i
2

senior-prompt-engineer

Analyze and optimize LLM prompts for clarity and token efficiency.

Community
Advanced
pingqLINpingqLIN

agents

Create custom GitHub Copilot agent files with YAML frontmatter and tool configuration.

Community
Advanced