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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.

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$ npx -y skills add mattpocock/skills --skill scaffold-exercises --agent claude-code

SKILL.md

scaffold-exercises.SKILL.md
name: scaffold-exercises
description: 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.

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 here

If the subfolder has code, it also needs a `main.ts` (>1 line). But for stubs, a readme-only exercise is fine.

Workflow

1. **Parse the plan** - extract section names, exercise names, and variant types 2. **Create directories** - `mkdir -p` for each path 3. **Create stub readmes** - one `readme.md` per variant folder with a title 4. **Run lint** - `pnpm ai-hero-cli internal lint` to validate 5. **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:

1. Use `git mv` (not `mv`) to rename directories - preserves git history 2. Update the numeric prefix to maintain order 3. Re-run lint after moves

Example:

git mv exercises/01-retrieval/01.03-embeddings exercises/01-retrieval/01.04-embeddings

Example: 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 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"
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@mattpocock
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My agent skills that I use every day to do real engineering - not vibe coding. Developing real applications is hard. Approaches like GSD, BMAD, and Spec-Kit try to help by owning the process.

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Questions about scaffold-exercises.

Which coding agents can use scaffold-exercises?
scaffold-exercises installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.