How does the Agent Generator prevent duplication?

The skill scans the local plugin directory's agents folder to compare the proposed scope with existing definitions before generating any new files.

Can I customize the agent's appearance and capabilities?

Yes, during the generation process, you can specify tool permissions, preferred display colors, and specific model requirements.

What happens if a conflict is found with an existing agent?

The skill will alert you to the potential overlap and provide options to either modify the new agent's scope or integrate with the existing one.

Is the generated content validated for formatting?

Yes, the skill automatically performs markdownlint validation to ensure the generated Markdown files meet professional documentation standards.

Does it include specific workflows in the agent file?

No, it follows architectural best practices where agents define responsibility and scope, while skills are used to define the specific workflows.

Agent Generator

Name: Agent Generator
Author: RevTechStudio

byRevTechStudio

Developer Tools

Streamlines the creation of standardized agent definition files through interactive scope definition and architectural validation.

About

The Agent Generator skill automates the creation of modular agent files for Claude Code by guiding users through a structured discovery process. It ensures every new agent adheres to specific architectural principles, such as the separation of concerns between agents and skills, while performing automated duplication checks against existing files. By handling frontmatter generation, scope definition, and markdownlint validation, it provides a consistent framework for scaling AI-driven development workflows within the RevTechStudio plugin ecosystem.

Key Features

Integrated markdownlint verification for output quality
0 GitHub stars
Automated duplication checks against existing plugin agents
Standardized Markdown file generation with YAML frontmatter
Strict validation against plugin architecture and modularity guidelines
Interactive information gathering for agent roles and responsibilities

Use Cases

Identifying and merging overlapping responsibilities between existing AI agents
Establishing a new specialized agent for specific project phases like requirement definition or security auditing
Standardizing agent documentation and metadata across a large-scale plugin repository

About

Key Features

Integrated markdownlint verification for output quality
0 GitHub stars
Automated duplication checks against existing plugin agents
Standardized Markdown file generation with YAML frontmatter
Strict validation against plugin architecture and modularity guidelines
Interactive information gathering for agent roles and responsibilities

Use Cases

Identifying and merging overlapping responsibilities between existing AI agents
Establishing a new specialized agent for specific project phases like requirement definition or security auditing
Standardizing agent documentation and metadata across a large-scale plugin repository