Scaffold exercise directories and stubs that pass lint checks.
npx skills add https://github.com/maxenergy/skills --skill scaffold-exercises-maxenergy
Please help me install this Agent Skill. Skill: scaffold-exercises Source: https://github.com/maxenergy/skills/tree/main/skills/misc/scaffold-exercises Command: npx skills add https://github.com/maxenergy/skills --skill scaffold-exercises-maxenergy
Create consistently structured exercise directories and stubs that pass lint checks with the internal tooling, enabling repeatable curriculum scaffolding.
Run the scaffold-exercises tool to generate the required exercise directories and stub files, then lint and commit.
High-intent search queries and answers about installing and using this skill.
To scaffold exercise directories that pass lint, run the tool to generate the required folder layout with readme.md stubs and validate using pnpm ai-hero-cli internal lint. This ensures structural compliance for sections, exercises, and variants.
Creating repeatable curriculum templates requires automated scaffolding of exercise directories with optional problem, solution, and explainer subfolders. Each subfolder receives a non-empty readme.md to satisfy lint rules and ensure ready-to-commit stubs.
Exercise readme files fail lint checks when the directory structure lacks required subfolders or readme.md stubs. Scaffolding with the correct folder layout and non-empty readmes ensures validation passes with pnpm ai-hero-cli internal lint.
Yes, automated scaffolding supports generating multiple exercise variants within a single curriculum section. The tool creates the correct folder layout for each variant with optional problem, solution, and explainer folders to satisfy structural requirements.
Yes, validating scaffolded exercise stubs requires pnpm to run the ai-hero-cli internal lint tool. The scaffolding generates ready-to-commit directories and stubs that speed up curriculum authoring and testing before the lint validation step.
hgxszhjScaffold lint-ready exercise directories with readmes and naming conventions.
kevinnftGenerate exercise directory trees with sections and variants from a course plan.
tonombGenerate and validate exercise directory structures with ai-hero-cli linting rules.
mmartinsolivScaffold exercise directory structures with numbered dash-case folders and readme stubs.
