agent-generator

Generate standardized agent Markdown files with front-matter and scoped responsibilities.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/RevTechStudio/rts-plugins --skill agent-generator
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: agent-generator
Source: https://github.com/RevTechStudio/rts-plugins/tree/main/rts-plugin-generator/skills/agent-generator
Command: npx skills add https://github.com/RevTechStudio/rts-plugins --skill agent-generator

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes templates (resource) components.

What problem does it solve?

This Skill automates the creation of AI Agent definitions, translating user-defined responsibilities into structured, documented AI roles. It ensures agents are clearly defined, adhere to architectural standards, and avoid ambiguity in their scope, leading to more effective AI systems.

Core Features & Use Cases

  • Interactive Responsibility Capture: Guides users through defining an agent's purpose, in-scope/out-of-scope responsibilities, and key considerations.
  • Frontmatter & Role Generation: Automatically creates the agent's frontmatter (name, description, tools, color) and a clear "Role" section.
  • Clear Responsibility Delineation: Structures the agent's responsibilities into "In-Scope" and "Out-of-Scope" sections, preventing overlap and confusion.
  • Use Case: A user wants to define a requirements-agent. This skill helps specify its responsibility for the "requirements definition phase," clarify what it will and will not do, and generates a complete requirements-agent.md file for their AI plugin.

Quick Start

Generate an AI Agent definition for a 'requirements-agent' responsible for the "requirements definition phase."

Frequently Asked Questions about agent-generator

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

FAQPage Schema
How do I create structured AI agent definitions from responsibility descriptions?

Generate standardized agent Markdown files by defining responsibilities, scope boundaries, and role clarity. The skill captures in-scope and out-of-scope responsibilities, enforces frontmatter fields (name, description, tools, model, color), and outputs a kebab-case formatted file with validated Markdown structure.

What should I include when defining an AI agent's scope and responsibilities?

Define the agent's purpose, target phase, in-scope responsibilities, out-of-scope boundaries, and key considerations. Avoid references to other elements or proper nouns. The skill structures these into clear sections, detects duplicates, and validates formatting to prevent ambiguity in agent scope.

Can I use this to document plugin agents and ensure role clarity across my AI system?

Yes. This skill automates agent documentation during plugin element generation and agent creation workflows. It enforces architectural standards, clarifies target phases, and produces consistently formatted agent definitions that prevent overlap and confusion across your AI product.

How does frontmatter validation prevent poorly defined agents?

Frontmatter enforcement requires name, description, tools, model, and color fields before output. Combined with responsibility delineation and markdownlint validation, this ensures agents meet structural standards and reduces ambiguity about their capabilities and constraints.

What's the best way to handle overlapping responsibilities when defining multiple agents?

Structure responsibilities explicitly into in-scope and out-of-scope sections for each agent. The skill detects duplicate responsibility claims across agents during definition, helping you identify and resolve overlaps before documentation, ensuring clear role boundaries.