dev-gpu-lesson

To scaffold a GPU lesson, provide the lesson number, name, and description to generate a standard directory structure with main.c, CMakeLists, README, PLAN.md, and assets folder. This creates the complete boilerplate template within the forge-gpu project.

Creating a GPU lesson template generates a directory containing main.c, CMakeLists, README, PLAN.md, and an assets folder. It also updates root project plans and integration references to plug the new lesson into the existing forge-gpu structure.

Yes, the GPU lesson scaffold enforces a step-by-step, chunked main.c development workflow. It also requires YAML frontmatter in SKILL.md and performs standard markdown linting and screenshot capture steps to ensure consistency.

Yes, you can use this scaffold to automatically update root plans and integration points. It plugs the newly generated GPU lesson directory into the existing forge-gpu project architecture upon creation.

The best way to ensure consistency is using a standardized scaffold that automatically generates the directory structure, enforces YAML frontmatter in SKILL.md, and applies standard markdown linting across all new GPU lessons.

No, you do not need to manually configure CMakeLists when starting a new GPU lesson. The scaffold automatically generates the CMakeLists file along with main.c, README, and PLAN.md based on your provided lesson number and name.