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scaffold-exercises

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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Download vodailocz-kilo-kit-mcp-skills_productivity_scaffold-exercises-0448e6c.zip · 1 KB
Part of vodailocz/kilo-kit-mcp — 142 skills

Install

skills CLI npx skills add https://github.com/VoDaiLocz/kilo-kit-mcp/tree/main/skills/productivity/scaffold-exercises
Claude Code claude plugin marketplace add https://llmmart.ai/marketplace.json && claude plugin install vodailocz-kilo-kit-mcp@llmmart
Git git clone https://github.com/VoDaiLocz/kilo-kit-mcp.git

The skills CLI installs just this skill, for any of its supported agents. Claude Code installs the whole vodailocz/kilo-kit-mcp collection as a plugin from our marketplace. Git is the plain clone.

Skill manifest

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"
Files (kilo-kit-mcp)
  • SKILL.md 3.5 KB
    ---
    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:
    
    ```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"
    ```
    

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