agent-skills-repo-conventions

Organize AI coding agent projects by separating scripts, references, and assets into distinct folders. This structured directory approach ensures consistency across agent skills, commands, and documentation, maintaining scalability throughout the development lifecycle.

Document AI coding agent skills by standardizing SKILL.md files with strict frontmatter rules. Standardized documentation categorizes skills into Define, Plan, Build, Verify, Review, and Ship phases, preventing content duplication and ensuring maintainable ecosystems.

Organize AI agent development phases by categorizing skills into Define, Plan, Build, Verify, Review, and Ship stages. This skill-by-phase catalog provides a structured approach, ensuring every development step has clear conventions and boundary guidelines.

Yes, you can apply these directory conventions for scalable AI agent ecosystems. The guidelines target developers creating maintainable agent structures, ensuring quality by avoiding vague advice and content duplication as projects expand.

AI coding agent projects lack consistency when SKILL.md frontmatter rules and boundary guidelines are not enforced. Standardizing file formats and categorizing skills into specific phases prevents vague advice and ensures uniform agent documentation.