Generate exercise directory trees from a course plan with stub subfolders.
npx skills add https://github.com/caezium/skills --skill scaffold-exercises-caezium
Please help me install this Agent Skill. Skill: scaffold-exercises Source: https://github.com/caezium/skills/tree/main/scaffold-exercises Command: npx skills add https://github.com/caezium/skills --skill scaffold-exercises-caezium
Scaffold Exercises automates the creation of exercise directory trees from a course plan, producing sections, exercises, and variant stubs with ready-to-lint structure.
Provide a course plan to the tool and it will generate the exercise directories and run lint to ensure quality.
High-intent search queries and answers about installing and using this skill.
To auto-generate exercise directory trees from a course plan, provide the plan to the tool to create sections and exercises with stub subfolders (problem, solution, explainer) and optional assets. The tool then validates the structure via a lint workflow to ensure non-empty readmes and consistent naming.
Scaffolding course exercises with problem, solution, and explainer stubs is best handled by parsing a plan-based curriculum into nested directories. This creates section and exercise folders with non-empty readmes, enforcing naming conventions and enabling immediate lint validation for error-free commits.
Lint validation for generated course exercise directories checks for required readmes, non-empty content, and consistent naming. It runs a lint pass that checks for broken links and no gitkeep files using the pnpm ai-hero-cli internal lint command to ensure a production-ready course skeleton.
Yes, you can use this scaffolding tool for plan-based curricula without external dependencies. It operates independently to parse your plan, generate the exercise directory tree, and run the lint workflow to fix structural issues and deliver a ready-to-commit course skeleton.
Generated course scaffolds fail lint checks for broken links and gitkeep files if the directory structure is incomplete. The lint workflow validates required readmes, non-empty content, and consistent naming, checking specifically for broken links and gitkeep files using pnpm ai-hero-cli internal lint before allowing commits.
kevinnftGenerate exercise directory trees with sections and variants from a course plan.
raphaelmansGenerate exercise directory structures with sections, problems, solutions, and explainers.
docs-plusGenerate standardized exercise directory structures with required subfolders and stub files.
fray-cloudCreate deterministic course exercise folders with stubs and lint validation.
