roundtable-arsenal

To organize AI agent skills in a GitHub repository, you should structure them using a domain-based directory layout with dedicated AgentSkills folders. This approach ensures clear separation of capabilities and maintains consistent repository management across your codebase.

SKILL.md files in an AgentSkills directory require specific frontmatter metadata rules to function correctly. Adhering to these frontmatter conventions ensures your AI agent skills are properly recognized and validated during Git-synced deployment workflows.

Before creating AI agent skills, you need a Git-synced repository environment with established directory conventions for domain folders. This setup allows you to properly manage skill assets, templates, and scripts within the roundtable-arsenal structure.

Validating AI agent skills during Git-synced deployment involves running repository validation workflows to check frontmatter metadata and directory structure. This process ensures your AgentSkills directories conform to the required conventions before integration.

Yes, you can update existing AI agent skills by modifying their SKILL.md files, scripts, and templates while maintaining the established domain folder structure. This ensures your updates align with repository validation workflows and frontmatter rules.