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Agent Skill · 研究检索

design-critique-case-studies(设计批评案例研究)

用于辅助界面设计、视觉规范、排版、配色、布局和交互体验优化。它适合让 Agent 根据产品场景整理页面结构、生成 UI 方案、检查视觉一致性或改进组件层级。使用时需要结合现有品牌、设计系统和用户任务,不应只堆装饰元素;涉及真实页面改动时,应通过截图或浏览器预览检查文本溢出、对齐和响应式表现。

design-critique-case-studies 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 68,015。

总安装 238周安装 10GitHub Stars 3下载 83核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:design-critique-case-studies(设计批评案例研究)
来源仓库:https://github.com/phazurlabs/ux-ui-mastery
仓库路径:skills/design-critique-case-studies
安装命令:
npx skills add https://github.com/phazurlabs/ux-ui-mastery --skill design-critique-case-studies
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/phazurlabs/ux-ui-mastery --skill design-critique-case-studies

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

通过案例研究学习优秀产品设计经验的专业工具。分析成功与失败案例中的设计决策得失。提供成本效益分析展示早期发现问题的重要性。基于IBM等机构研究数据论证设计评审的价值。适用于提升团队整体设计判断能力。design-critique-case-studies 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/design-critique-case-studies

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/phazurlabs/ux-ui-mastery --skill design-critiq…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

design-critique-case-studies 怎么安装?

在终端执行 npx skills add https://github.com/phazurlabs/ux-ui-mastery --skill design-critique-case-st…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

design-critique-case-studies 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

design-critique-case-studies 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

design-critique-case-studies 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

design-critique-case-studies 用的人多吗?

公开数据是累计安装 238 次,近一周安装 10 次,下载 83 次,GitHub 3 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

design-critique-case-studies 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
design-critique-case-studies

设计批评案例研究 · 本页

2383只读未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Design Critique & Case Studies — Learning from the Best (and Worst) Product Design

Why Critique Is the Highest-Leverage Design Activity

Design critique is the single most cost-effective quality intervention in the product development lifecycle. Research from IBM Systems Sciences Institute and subsequent industry analyses consistently demonstrate that catching a design flaw during the critique phase costs roughly one-tenth of what it costs to fix the same flaw after launch. The ratio grows more extreme with scale: a navigation architecture mistake caught in wireframes costs a team a few hours of discussion and iteration; the same mistake discovered after a production release with millions of active users can require months of re-engineering, user re-education, and brand trust recovery.

Beyond cost avoidance, critique serves three compounding functions. First, it raises the quality floor across an entire design organization. When designers regularly expose their work to structured feedback, the weakest output improves faster than any training program could achieve. Second, it builds shared design vocabulary. Teams that critique together develop a common language for evaluating hierarchy, affordance, information density, and emotional tone — making future collaboration dramatically more efficient. Third, it distributes design knowledge. Junior designers absorb senior judgment through critique participation, and senior designers stay honest through exposure to fresh perspectives.

The inverse is equally instructive. Organizations that skip or perform superficial critique consistently ship products that require expensive post-launch patches, generate higher support ticket volumes, and suffer the slow erosion of user trust that comes from shipping half-considered experiences.

Critique Types

Studio Critique (Group, Scheduled)

The formal studio critique gathers 4-8 participants in a scheduled session, typically 45-60 minutes, with defined roles: presenter, facilitator, critics, and note-taker. The presenter shares work at a specific fidelity level and frames the feedback they need. The facilitator manages time, enforces rules, and ensures all voices are heard. Critics provide structured feedback. The note-taker captures decisions, open questions, and action items. Studio critique works best for major design milestones — concept exploration, mid-fidelity flow review, and pre-handoff polish.

Desk Critique (Informal, 1:1)

Desk critique is the spontaneous, low-ceremony version: a designer turns to a colleague and says, "Can you look at this for two minutes?" The value of desk critique lies in its frequency and low activation energy. It catches small issues — alignment inconsistencies, confusing label text, missing states — before they compound. The risk is that without structure, desk critique can devolve into vague affirmation ("looks good") or ungrounded opinion ("I'd make that blue"). Even in informal settings, the critic should anchor feedback to a principle, heuristic, or user scenario.

Async Critique (Figma Comments, Recorded Loom)

Distributed teams often cannot gather synchronously. Async critique uses Figma comment threads, annotated screenshots, or recorded Loom walkthroughs to deliver structured feedback across time zones. The presenter records a 3-5 minute walkthrough explaining context, decisions, and open questions. Critics respond with timestamped or pin-pointed comments. Async critique requires more discipline than synchronous formats because the feedback loop is slower and misunderstandings are harder to resolve in real time. Best practice: require critics to label each comment with a type tag — [Question], [Concern], [Suggestion], [Praise] — to prevent ambiguous annotations.

Self-Critique (Checklist-Driven)

Before exposing work to others, designers should run a structured self-critique against a checklist. This is not about catching every issue — it is about eliminating the obvious ones so that group critique time is spent on genuinely hard problems. A strong self-critique checklist covers: Does this design handle empty states, loading states, and error states? Is the visual hierarchy clear within 3 seconds? Does the primary action have the strongest affordance on the screen? Are labels written in user language rather than system language? Does this meet WCAG AA contrast and target size requirements? Self-critique builds the habit of evaluation rigor that transfers to every other critique format.

Liz Lerman's Critical Response Process

Liz Lerman developed the Critical Response Process in the performing arts, and it has been widely adopted in design because it solves the core problem of critique: how to deliver honest, useful feedback without triggering defensiveness that closes the presenter's mind. The process has four steps, executed in strict order.

Step 1: Statements of Meaning. Critics begin by articulating what was meaningful, interesting, surprising, or effective about the work. This is not empty praise — it is specific identification of what is working and why. "The progressive disclosure of the pricing tiers respects the user's decision-making process" is a statement of meaning. "Looks nice" is not. This step ensures the presenter knows which elements to protect as they iterate.

Step 2: Artist's Questions. The presenter (the "artist") asks questions about aspects they are uncertain about. "I'm not sure whether the secondary navigation is discoverable enough — what was your experience finding it?" This step gives the presenter control over the direction of feedback, ensuring they get input on their actual concerns rather than whatever the critics feel like discussing.

Step 3: Neutral Questions. Critics ask non-leading questions to understand the presenter's intent. "What was your rationale for placing the filters above the results rather than in a sidebar?" is neutral. "Don't you think the filters would work better in a sidebar?" is not — it embeds an opinion. Neutral questions surface the reasoning behind decisions, which often reveals whether a choice was deliberate or accidental.

Step 4: Opinion Time. Only after the first three steps do critics offer direct opinions, and only with the presenter's permission. The facilitator asks: "Sarah has an opinion about the onboarding flow — would you like to hear it?" The presenter can accept or defer. When opinions are offered, they must be grounded: "I believe the three-step onboarding will cause drop-off because each step requires a decision that new users aren't equipped to make yet — research from the ux-research-methods reference shows progressive onboarding outperforms upfront configuration by 40%."

The 30/60/90 Framework: Critique by Fidelity Stage

At 30% (Concept / Low Fidelity)

The design is rough — sketches, rough wireframes, concept maps. Critique at this stage should focus exclusively on strategy and structure. Is this solving the right problem? Is the information architecture logical? Are the core user flows sound? Does the mental model match user expectations? Feedback about color, typography, or pixel alignment at this stage is not just premature — it is actively harmful because it pulls attention away from foundational decisions that are expensive to change later.

At 60% (Mid Fidelity)

The design has defined layout, component selection, content hierarchy, and interaction patterns, but visual polish is incomplete. Critique should focus on interaction design, content strategy, and pattern consistency. Do the interaction patterns follow platform conventions? Is the content hierarchy clear? Are edge cases handled — empty states, error states, overflow, truncation? Does the flow feel efficient or are there unnecessary steps? This is also the right time to evaluate against Nielsen's heuristics systematically.

At 90% (High Fidelity / Pre-Handoff)

The design is near-final. Critique should focus on visual polish, micro-interactions, accessibility compliance, responsive behavior, and implementation feasibility. Are the spacing and alignment consistent with the design system tokens? Do the animations serve a functional purpose or are they decorative? Does the design meet WCAG AA standards? Will engineering encounter ambiguity during implementation? Feedback at this stage should be specific and scoped — this is not the time to question foundational architecture.

Critique Anti-Patterns

Design by Committee

When every stakeholder's feedback is treated as equally valid and equally mandatory, the result is a design that satisfies no one. The solution is to identify a single decision-maker before the critique begins. Everyone's feedback is heard; one person decides which feedback to act on.

HiPPO (Highest Paid Person's Opinion)

When the most senior person in the room speaks first or speaks with implied authority, other participants self-censor. The solution is to have the most senior person speak last, or to use anonymous first-round feedback (written sticky notes or digital equivalent) before open discussion.

Vague Feedback

"Make it pop," "it feels off," "I don't love it" — these are emotional reactions masquerading as design feedback. They are not actionable. The solution is to require every critique comment to reference a specific heuristic, design principle, or user scenario. "The call-to-action doesn't have sufficient visual weight relative to the surrounding elements, which violates hierarchy principles" is actionable. "Make it pop" is not.

Personal Preference vs. Evidence

"I prefer left-aligned navigation" is a personal preference. "Left-aligned navigation tests 15% faster for discovery in information-dense dashboards according to Baymard Institute research" is evidence. Critique must distinguish between these. When evidence is unavailable, the appropriate response is to flag the question for user testing rather than defaulting to the loudest opinion.

Bike-Shedding

Spending 30 minutes debating button border-radius while ignoring a fundamental flow problem. The solution is time-boxing: allocate critique time proportional to the impact of the decision. The facilitator's primary job is preventing bike-shedding by redirecting discussion to higher-impact topics.

Cross-References to Other Skills

  • nng-ux-heuristics: Every critique comment should be groundable in a specific heuristic. Use the heuristic evaluation framework as a structured lens during critique sessions, particularly at the 60% fidelity stage.
  • cognitive-psychology-ux: Critique participants are subject to the same cognitive biases as users — anchoring bias (first speaker sets the frame), confirmation bias (seeing what you expect), groupthink (conforming to the room). Awareness of these biases improves critique quality.
  • ux-research-methods: Critique generates hypotheses; research validates them. When a critique session surfaces a genuine disagreement that cannot be resolved by principles alone, the correct next step is a usability test, not a longer argument.
  • component-patterns-code: Critique at the 90% stage should evaluate whether the design uses existing design system components correctly and whether custom components are justified. This prevents implementation drift.
  • ux-metrics-measurement: Data-driven critique uses quantitative evidence (conversion rates, task completion times, error rates) to ground feedback in observed user behavior rather than opinion.
  • ux-ethics-content-strategy: Critique should include ethical review — does this design use dark patterns? Does the content manipulate rather than inform? Ethical critique is not optional.

How to Use This Skill

When asked to conduct a design critique or analyze a product, use the reference materials in this skill as follows:

  1. For running a critique session: Consult references/critique-methodology.md for facilitator guides, session formats, feedback frameworks, and scoring rubrics.
  2. For analyzing a specific product's design decisions: Consult references/product-deep-dives.md for detailed case studies of world-class products including Stripe, Linear, Notion, Airbnb, Figma, Arc Browser, Duolingo, Vercel, Apple Music vs. Spotify, and Slack.
  3. For learning from redesign mistakes: Consult references/redesign-failure-analysis.md for detailed post-mortems of major product redesign failures including Snapchat, Windows 8, Digg, Twitter/X, Google Plus, Sonos, Healthcare.gov, Reddit API changes, YouTube dislikes removal, and Skype.

Always ground critique feedback in specific principles, heuristics, or evidence. Never offer unanchored opinions. When principles conflict, name the tradeoff explicitly and recommend how to resolve it — through user testing, business priority alignment, or design principle hierarchy.

平台分布

Codex

32.81%
按下载量换算27

Claude

29.89%
按下载量换算25

Cursor

19.37%
按下载量换算16

Gemini CLI

7.94%
按下载量换算7

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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