scaffold-exercises

To scaffold exercise directory structures that pass lint checks, generate predictable dash-case folders for sections and exercises, including problem, solution, and explainer subfolders with non-empty readme.md files. Run pnpm ai-hero-cli internal lint and iterate until all repository conventions are satisfied.

The required directory structure for course exercises uses XX-section-name folders containing XX.YY-exercise-name subfolders. Each exercise must contain problem, solution, and explainer subfolders with non-empty readme.md files to satisfy deterministic lint workflows and avoid broken links.

Generate exercise stubs from a plan by creating the required problem, solution, and explainer subfolders with non-empty readme.md files. Ensure predictable dash-case naming and run pnpm ai-hero-cli internal lint to verify the markdown structure has no broken links before committing.

Course content fails pnpm ai-hero-cli internal lint when manually created exercise folders lack the required problem, solution, and explainer subfolders, contain empty readme.md files, or use incorrect dash-case naming that violates repository conventions and produces broken links.

Yes, you can scaffold new course sections with only problem and solution variants. The process generates the required variant subfolders and minimal stubs based on your exercise plan, ensuring the resulting directory layout still satisfies the repository lint workflow.

The best way to automate learning module setup is to scaffold the directory structure by generating section and exercise folders with required variant subfolders and non-empty readmes. This ensures consistent layout and repo compliance by passing pnpm ai-hero-cli internal lint.