scaffold-exercises skill
Create exercise directory structures with sections, problems, solutions, and explainers that pass linting. Use when user wants to scaffold exercises, create exercise stubs, or set up a new course section.
Is the scaffold-exercises skill safe?
Clean: nothing in its files matched our rules. We read 1 file in the folder on 2026-09-28.
No findings.
Install the scaffold-exercises skill
A skill is a folder. Copy it into your agent's skills folder and the agent loads it when the task matches its description.
git clone --depth 1 https://github.com/kevinnft/ai-agent-skills.git /tmp/ai-agent-skills mkdir -p ~/.claude/skills cp -r /tmp/ai-agent-skills/skills/mattpocock/misc/scaffold-exercises ~/.claude/skills/scaffold-exercises
In the Claude apps, zip the folder and upload it from the Skills settings. The folder on GitHub
The instructions your agent would load
SKILL.md as published, without the frontmatter. Read it on GitHub
Scaffold Exercises
Create exercise directory structures that pass pnpm ai-hero-cli internal lint, then commit with git commit.
Directory naming
- Sections: XX-section-name/ inside exercises/ (e.g., 01-retrieval-skill-building)
- Exercises: XX.YY-exercise-name/ inside a section (e.g., 01.03-retrieval-with-bm25)
- Section number = XX, exercise number = XX.YY
- Names are dash-case (lowercase, hyphens)
Exercise variants
Each exercise needs at least one of these subfolders:
- problem/ - student workspace with TODOs
- solution/ - reference implementation
- explainer/ - conceptual material, no TODOs
When stubbing, default to explainer/ unless the plan specifies otherwise.
Required files
Each subfolder (problem/, solution/, explainer/) needs a readme.md that:
- Is not empty (must have real content, even a single title line works)
- Has no broken links
When stubbing, create a minimal readme with a title and a description:
# Exercise Title
Description hereIf the subfolder has code, it also needs a main.ts (>1 line). But for stubs, a readme-only exercise is fine.
Workflow
- Parse the plan - extract section names, exercise names, and variant types
- Create directories - mkdir -p for each path
- Create stub readmes - one readme.md per variant folder with a title
- Run lint - pnpm ai-hero-cli internal lint to validate
- Fix any errors - iterate until lint passes
Lint rules summary
The linter (pnpm ai-hero-cli internal lint) checks:
- Each exercise has subfolders (problem/, solution/, explainer/)
- At least one of problem/, explainer/, or explainer.1/ exists
- readme.md exists and is non-empty in the primary subfolder
- No .gitkeep files
- No speaker-notes.md files
- No broken links in readmes
- No pnpm run exercise commands in readmes
- main.ts required per subfolder unless it's readme-only
Moving/renaming exercises
When renumbering or moving exercises:
- Use git mv (not mv) to rename directories - preserves git history
- Update the numeric prefix to maintain order
- Re-run lint after moves
Example:
git mv exercises/01-retrieval/01.03-embeddings exercises/01-retrieval/01.04-embeddingsExample: stubbing from a plan
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 MemoryCreate:
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/explainerThen 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"
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