frontend-interview-dualround

frontend-interview-dualround is a skill for Claude Code from kkunkunya/ai-frontend-design-kit. It costs 252 tokens per session (4,175 once invoked), scanned A, original, MIT.

A two-stage interview for defining a front-end product before design and coding. The first stage clarifies the product's purpose and boundaries; the second connects the chosen visual direction to page structure, wording, and user interactions.

In plain words
What is it for?
Use it when a new project brief is unclear or when a visual direction has been chosen but the page structure is not settled. It helps define users, positioning, sections, writing tone, interaction paths, and product details.
Why use it?
It helps prevent a project from looking polished while communicating the wrong thing or being organized poorly. The questions draw out decisions that may otherwise remain vague and lead the build off course.

Skill for Claude Code

Written for Claude Code: Claude Code plugin machinery.

Not installable: its command points at a path on the author’s own machine, so it runs nowhere else. The line is /Users/kunkun/note/01-AI工程/AI设计与前端/01-认知框架/AI前端设计认知框架.md.

Part of the ai-frontend-design-kit plugin — 10 skills shipped together

Good fit Use it when a new project brief is unclear or when a visual direction has been chosen but the page structure is not settled. It helps define users, positioning, sections, writing tone, interaction paths, and product details.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.

Claude Code
/plugin marketplace add kkunkunya/ai-frontend-design-kit
Claude Code
/plugin install ai-frontend-design-kit

Made for: Claude Code.

Or install ai-frontend-design-kit, the plugin that ships this one along with the rest of its 10 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for frontend-interview-dualround

README.md
[![agentmods](https://agentmods.dev/badge/skills/kkunkunya/ai-frontend-design-kit/frontend-interview-dualround/github.svg)](https://agentmods.dev/skills/kkunkunya/ai-frontend-design-kit/frontend-interview-dualround)
Your own site
<a href="https://agentmods.dev/skills/kkunkunya/ai-frontend-design-kit/frontend-interview-dualround"><img src="https://agentmods.dev/badge/skills/kkunkunya/ai-frontend-design-kit/frontend-interview-dualround/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for frontend-interview-dualround

Your own site · 80×15
<a href="https://agentmods.dev/skills/kkunkunya/ai-frontend-design-kit/frontend-interview-dualround"><img src="https://agentmods.dev/badge/skills/kkunkunya/ai-frontend-design-kit/frontend-interview-dualround.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 252 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,175 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00252 $0.04175
Opus 5 $0.00126 $0.02087
Sonnet 5 $0.00050 $0.00835
Haiku 4.5 $0.00025 $0.00417

Measured 10d ago against content hash b75895e53347, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

frontend-interview-dualround scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/frontend-interview-dualround/SKILL.md · 279 lines

How it starts

The opening of the file, as written. The whole thing — 279 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Packaged Knowledge Snapshot

This packaged copy includes local note snapshots for portability. When the original Obsidian absolute path is unavailable, use the packaged snapshot instead:

  • /Users/kunkun/note/01-AI工程/AI设计与前端/01-认知框架/AI前端设计认知框架.md -> references/packaged-knowledge/AI前端设计认知框架.md
  • /Users/kunkun/note/01-AI工程/AI设计与前端/01-认知框架/主语言是设计的第一原则.md -> references/packaged-knowledge/主语言是设计的第一原则.md
  • /Users/kunkun/note/01-AI工程/AI设计与前端/02-执行方法/审美是隐性认知,追问是唯一的解压工具.md -> references/packaged-knowledge/审美是隐性认知,追问是唯一的解压工具.md
  • /Users/kunkun/note/01-AI工程/AI设计与前端/02-执行方法/深度采访双轮:产品设计师视角的横切机制.md -> references/packaged-knowledge/深度采访双轮:产品设计师视角的横切机制.md

Frontend Interview Dualround

这个 skill 在做什么

产品设计师视角做双轮深度采访,把用户脑子里隐性的"架构 + 文案 + 交互"主动拔出来。前轮建立目标边界,后轮结合视觉参考拔细节,两轮共同防止代码阶段走偏。

AI 默认只扮演"前端设计师"——接"做个官网"就直奔视觉,导致架构错或文案像 GPT 生成的营销话术。产品设计师视角是本 skill 的关键差异化:不仅解决"长什么样",先解决"讲什么 + 怎么组织"。

在阶段化流程里的位置

本 skill 是横切机制(见 [[AI前端设计认知框架]]),贯穿阶段 1 和阶段 3:

阶段1 需求定义 ← ★ 前轮采访(本 skill)
         ↓        → 主语言 + 目标 + 产品边界
阶段2 试吃六维
         ↓
阶段3 Moodboard 生成 + 选定 ← ★ 后轮采访(本 skill)
         ↓        → 架构 + section + 文案调性 + 交互 + 反向细节
design.md 定稿
         ↓
阶段4 视觉锚定三件套
         ↓
阶段6 代码实现
         ↓
阶段7 迭代微调 ← 用 frontend-design-review 做三段式追问(代码后)

frontend-design-review 的关键分工:

机制 阶段 目的 隐性来源
本 skill(深度采访双轮) 代码(阶段 1 + 阶段 3) 建立目标 / 架构 / 文案的边界 用户脑子里的产品愿景
frontend-design-review(三段式追问) 代码(阶段 7) 纠正"感觉不对"的评审反馈 用户看完代码后才涌现的审美直觉

两者都依赖"用户脑子里有隐性认知,Agent 必须主动问"的前提,但阶段严格分离。

何时进入本 skill

要进

  • 阶段 1:新项目启动,用户给了一句"做个 X"的 brief 但细节含糊 → 跑前轮
  • 阶段 3:六维试吃完成 + Moodboard 生成后、design.md 定稿前 → 跑后轮
  • 用户说"帮我把这个产品想清楚""我有个想法但说不清""帮我定架构"
  • 前端设计剧本阶段 1/阶段 3 路由到本 skill

不要进

  • 代码已跑起来,用户看实现说"感觉不对" → frontend-design-review(阶段 7)
  • 用户要的是机械判定的需求澄清(产品 brief 质量门禁) → req-suite:requirement-clarifier
  • 用户已明确给出架构和文案,不需要采访 → 直接进 writer
  • 纯视觉方向选择(Moodboard 选一张) → frontend-visual-reference

Read the full file on GitHub · 279 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 10d ago First seen · 279 lines · 252 tokens per session scan A b75895e53347

Subscribe to this mod's changes

frontend-interview-dualround is a skill published in the GitHub repository kkunkunya/ai-frontend-design-kit (7 stars, last pushed 3mo ago), licensed MIT. It adds 252 tokens to every session and 4,175 once invoked, about $0.0013 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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