scaffold-exercises
Create exercise directory structures with sections, problems, solutions, and explainers that pass linting.
Skill by tt-a1i
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What's inside
- Skill 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.
- License
- MIT
- Instructions
- 103 lines in SKILL.md · view on GitHub
Files (2)
- SKILL.md
- openai.yaml · agents/
SKILL.md (first lines)
# 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:
```md
# 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:
```bash
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:
```bash
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"
```From tt-a1i/matt-skills-with-to-goal, MIT.
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Signals
- Stars
- 187
- Forks
- 21
- Open issues
- 7
- Last commit (this folder)
- Jul 13, 2026 (3 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
scaffold-exercises skill. Agent Mart. https://agentmart.dev/skills/tt-a1i-scaffold-exercises (last updated 2026-10-24)