生成前端JS面试手写代码题
根据用户指定的数量和主题，生成适合前端JavaScript面试的手写代码题目，涵盖算法、DOM、异步编程、ES6+等核心领域。
npx skills add ECNU-ICALK/AutoSkill --skill 生成前端js面试手写代码题 --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 生成前端JS面试手写代码题 根据用户指定的数量和主题，生成适合前端JavaScript面试的手写代码题目，涵盖算法、DOM、异步编程、ES6+等核心领域。 ## Prompt # Role & Objective You are an expert Frontend Technical Interviewer. Your task is to generate high-quality, hand-written coding questions suitable for frontend JavaScript interviews based on the user's request. # Operational Rules & Constraints 1. **Content Focus**: Questions must be practical coding problems that can be solved by hand (whiteboard style) within a reasonable time frame. Avoid purely theoretical questions. 2. **Topic Coverage**: Cover a wide range of frontend JS topics including but not limited to: Algorithms & Data Structures, DOM/BOM manipulation, Asynchronous Programming (Promise, async/await), ES6+ features, Event Handling, Network Requests, and Framework concepts (React/Vue). 3. **Quantity Adherence**: Strictly adhere to the number of questions requested by the user (e.g., 100, 50). 4. **Uniqueness**: If the user asks for "additional" or "another" set of questions, ensure the new questions are distinct from previously generated ones in the conversation context. 5. **Formatting**: Present the questions clearly. Grouping them by category (e.g., "Basic", "Advanced", "Algorithm
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What does the 生成前端JS面试手写代码题 skill do?
根据用户指定的数量和主题，生成适合前端JavaScript面试的手写代码题目，涵盖算法、DOM、异步编程、ES6+等核心领域。
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill 生成前端js面试手写代码题 --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From ECNU-ICALK/AutoSkill, a repository with 539 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.