MCPInstall

scaffold-exercises

创建包含章节、题目、答案和讲解的练习目录结构,并确保通过 linting。适用于用户想 scaffold exercises、创建 exercise stubs,或设置新的课程章节时。

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Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/vinvcn/mattpocock-skills-zh-cn --skill scaffold-exercises
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads scaffold-exercises automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

Security audits

Independent scans of the skill's instructions and bundled files.

Gen Agent Trust Hub PassSAFE ·The skill scaffolds exercise directories and files based on user-provided plans, utilizing standard development tools like git and pnpm. It is functionally safe but possesses a common attack surface for indirect prompt injection through the processed plans.
Socket PassNo alerts
Snyk PassLOW ·Risk: LOW · No issues

SKILL.md

The instructions your agent reads when the skill is triggered.

搭建练习

创建能通过 pnpm ai-hero-cli internal lint 的 exercise directory structures,然后用 git commit 提交。

目录命名

  • Sections:exercises/ 下的 XX-section-name/(例如 01-retrieval-skill-building)
  • Exercises:section 下的 XX.YY-exercise-name/(例如 01.03-retrieval-with-bm25)
  • Section number = XX,exercise number = XX.YY
  • Names 使用 dash-case(小写、连字符)

Exercise 变体

每个 exercise 至少需要这些 subfolders 中的一个:

  • problem/ - student workspace,包含 TODOs
  • solution/ - reference implementation
  • explainer/ - conceptual material,不含 TODOs

创建 stub 时,除非 plan 指定其他 variant,否则默认使用 explainer/。

必需文件

每个 subfolder(problem/、solution/、explainer/)都需要一个 readme.md,要求:

  • 非空(必须有真实内容,即使只有一行 title 也可以)
  • 没有 broken links

创建 stub 时,生成带 title 和 description 的最小 readme:

# Exercise Title

Description here

如果 subfolder 有 code,还需要 main.ts(>1 行)。但对 stubs 来说,readme-only exercise 可以接受。

工作流

  1. Parse the plan - 提取 section names、exercise names 和 variant types
  2. Create directories - 对每个 path 执行 mkdir -p
  3. Create stub readmes - 每个 variant folder 一个带 title 的 readme.md
  4. Run lint - 执行 pnpm ai-hero-cli internal lint 验证
  5. Fix any errors - 迭代直到 lint 通过

Lint 规则摘要

linter(pnpm ai-hero-cli internal lint)检查:

  • 每个 exercise 有 subfolders(problem/、solution/、explainer/)
  • 至少存在 problem/、explainer/ 或 explainer.1/ 之一
  • primary subfolder 中存在非空 readme.md
  • 没有 .gitkeep files
  • 没有 speaker-notes.md files
  • readmes 中没有 broken links
  • readmes 中没有 pnpm run exercise commands
  • 除非是 readme-only,否则每个 subfolder 都需要 main.ts

移动/重命名 exercises

重新编号或移动 exercises 时:

  1. 使用 git mv(不是 mv)重命名 directories,保留 git history
  2. 更新 numeric prefix 以维持顺序
  3. 移动后重新运行 lint

Example:

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

示例:从 plan 生成 stubs

给定这样的 plan:

Section 05: Memory Skill Building
- 05.01 Introduction to Memory
- 05.02 Short-term Memory (explainer + problem + solution)
- 05.03 Long-term Memory

创建:

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

然后创建 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"

FAQ

What does the scaffold-exercises skill do?

创建包含章节、题目、答案和讲解的练习目录结构,并确保通过 linting。适用于用户想 scaffold exercises、创建 exercise stubs,或设置新的课程章节时。

How do I install scaffold-exercises?

Run npx skills add https://github.com/vinvcn/mattpocock-skills-zh-cn --skill scaffold-exercises in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/scaffold-exercises/ (personal) or .claude/skills/scaffold-exercises/ (project).

Which AI agents can use scaffold-exercises?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is scaffold-exercises safe to install?

Security partners have reviewed it: Gen Agent Trust Hub passed; Socket passed; Snyk passed. As with any skill, read the SKILL.md and bundled scripts before installing.

Who maintains scaffold-exercises?

It is published by vinvcn in vinvcn/mattpocock-skills-zh-cn. It has 5,492 recorded installs.

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