From mattpocock-skills
Creates exercise directory structures with sections, problems, solutions, and explainers, then validates them with a linter. Use when scaffolding exercises, creating stubs, or setting up course sections.
How this skill is triggered — by the user, by Claude, or both
Slash command
/mattpocock-skills:scaffold-exercisesThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Create exercise directory structures that pass `pnpm ai-hero-cli internal lint`, then commit with `git commit`.
Create exercise directory structures that pass pnpm ai-hero-cli internal lint, then commit with git commit.
XX-section-name/ inside exercises/ (e.g., 01-retrieval-skill-building)XX.YY-exercise-name/ inside a section (e.g., 01.03-retrieval-with-bm25)XX, exercise number = XX.YYEach exercise needs at least one of these subfolders:
problem/ - student workspace with TODOssolution/ - reference implementationexplainer/ - conceptual material, no TODOsWhen stubbing, default to explainer/ unless the plan specifies otherwise.
Each subfolder (problem/, solution/, explainer/) needs a readme.md that:
When stubbing, create a minimal readme with a title and a description:
# Exercise Title
Description here
If the subfolder has code, it also needs a main.ts (>1 line). But for stubs, a readme-only exercise is fine.
mkdir -p for each pathreadme.md per variant folder with a titlepnpm ai-hero-cli internal lint to validateThe linter (pnpm ai-hero-cli internal lint) checks:
problem/, solution/, explainer/)problem/, explainer/, or explainer.1/ existsreadme.md exists and is non-empty in the primary subfolder.gitkeep filesspeaker-notes.md filespnpm run exercise commands in readmesmain.ts required per subfolder unless it's readme-onlyWhen renumbering or moving exercises:
git mv (not mv) to rename directories - preserves git historyExample:
git mv exercises/01-retrieval/01.03-embeddings exercises/01-retrieval/01.04-embeddings
Given a plan like:
Section 05: Memory Skill Building
- 05.01 Introduction to Memory
- 05.02 Short-term Memory (explainer + problem + solution)
- 05.03 Long-term Memory
Create:
mkdir -p exercises/05-memory-skill-building/05.01-introduction-to-memory/explainer
mkdir -p exercises/05-memory-skill-building/05.02-short-term-memory/{explainer,problem,solution}
mkdir -p exercises/05-memory-skill-building/05.03-long-term-memory/explainer
Then create readme stubs:
exercises/05-memory-skill-building/05.01-introduction-to-memory/explainer/readme.md -> "# Introduction to Memory"
exercises/05-memory-skill-building/05.02-short-term-memory/explainer/readme.md -> "# Short-term Memory"
exercises/05-memory-skill-building/05.02-short-term-memory/problem/readme.md -> "# Short-term Memory"
exercises/05-memory-skill-building/05.02-short-term-memory/solution/readme.md -> "# Short-term Memory"
exercises/05-memory-skill-building/05.03-long-term-memory/explainer/readme.md -> "# Long-term Memory"
npx claudepluginhub esonhugh/marketplace --plugin mattpocock-skillsScaffolds exercise directory structures with sections, problems, solutions, and explainers, and validates them with linting. Use for creating exercise stubs or setting up course sections.
Creates exercise directories, readmes, and variant stubs that pass AI Hero CLI lint. Useful for scaffold tooling and course content automation.
Generates a file of graded practical exercises with hidden solutions for users to practice a topic or code artefact. Verifies answers against real code.