project-guidelines-example

Standardize project-specific AI skill design by duplicating a template that covers architecture, file structure, coding patterns, testing, and deployment workflows. This provides a repeatable blueprint for consistent governance and onboarding across production projects.

The best way to document coding patterns and testing workflows is by filling in a structured skill template. It provides dedicated sections for architecture and deployment, ensuring your project alignment and governance cues are repeatable across teams.

Set up a SKILL.md file by creating a YAML frontmatter containing the skill name and description. You can then organize supporting resources by adding optional scripts, references, and assets directories to hold project-specific implementation files.

This project guidelines template requires no external dependencies or components. It functions as a standalone, ready-to-fill blueprint designed to speed up onboarding and align skill definitions with real-world production applications without prerequisite installations.

Yes, you can use this skill template to speed up onboarding for new architecture projects. It offers a repeatable blueprint with governance cues that aligns skill definitions with real-world production applications, ensuring consistent structure and expectations.