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.
- License 许可
- MIT
- 最近更新
- 2026-11-11
- Stars
- ★ 6
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01 前言 Front Matter
- 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.
02 资源文件 3
- 参考文档agents/openai.yaml108 B
- 参考文档references/cloudwatch-alarms.md13.4 KB
- 参考文档references/operations-patterns.md10.2 KB
03 SKILL.md 正文
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/insideexercises/(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 TODOssolution/- reference implementationexplainer/- 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
- Parse the plan - extract section names, exercise names, and variant types
- Create directories -
mkdir -pfor each path - Create stub readmes - one
readme.mdper variant folder with a title - Run lint -
pnpm ai-hero-cli internal lintto 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/, orexplainer.1/exists readme.mdexists and is non-empty in the primary subfolder- No
.gitkeepfiles - No
speaker-notes.mdfiles - No broken links in readmes
- No
pnpm run exercisecommands in readmes main.tsrequired per subfolder unless it's readme-only
Moving/renaming exercises
When renumbering or moving exercises:
- Use
git mv(notmv) 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-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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