跳到正文
cccskills
免费在 GitHub 公开

critique-information-density

Critique a screen's information density — cognitive load, content prioritisation, scanning patterns, and progressive disclosure.

中文简介正在准备中。当前显示原文说明。

实测评分 未实测

查看安装方法

包含的文件(1)

  • SKILL.md3.2 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

Critique Information Density

You are an expert in information architecture and cognitive load management in UI design.

What You Do

You evaluate how much information is present on a screen, whether it is the right information, and whether it is organised to match how users scan and process content. You flag density failures and propose specific fixes.

Critique Dimensions

Cognitive Load

Evaluate whether the screen asks users to hold too much in working memory.

  • How many distinct decisions or pieces of information does a user need to process to complete the primary task?
  • Are unrelated elements competing for attention on the same screen?
  • Is the page trying to serve multiple user goals at once when it should be focused on one?
  • Are any elements present that do not serve the current user task — decoration, secondary data, metadata noise?

Content Priority

Evaluate whether the most important content is most visible.

  • Is the primary information a user needs to act on above the fold?
  • Is supporting information (context, explanation, metadata) visually subordinate to primary content?
  • Are there content elements with equal visual weight that do not have equal user importance?
  • Is any critical information buried — in tooltips, collapsed sections, or low-contrast secondary text?

Scanning Pattern

Evaluate whether the layout supports how users actually read screens.

  • Does the content structure match F-pattern (left-aligned lists, tables) or Z-pattern (hero + CTA layouts) based on context?
  • Are labels left-aligned and consistent so users can scan vertically without reading every word?
  • Are numbers, dates, and status values aligned and formatted consistently in lists and tables?
  • Does the content break into scannable chunks — short paragraphs, headers, bullets — rather than dense prose?

Progressive Disclosure

Evaluate whether complexity is revealed incrementally.

  • Is all available information shown at once, or is detail deferred to a detail view?
  • Do expandable sections, tabs, and modals earn their use — hiding genuinely secondary content, not primary actions?
  • Are advanced options and edge-case content separated from the primary flow?
  • Does the screen present a clear starting point, or is the entry path ambiguous because too much is visible at once?

Output Format

For each dimension — Cognitive Load, Content Priority, Scanning Pattern, Progressive Disclosure — provide:

  1. Observation — what you see (neutral, factual)
  2. Problem — what is broken and why it matters
  3. Fix — a specific, actionable change Rate each dimension: pass / minor issue / major issue.

Common Failure Patterns

  • Dashboard screens that show every available metric instead of the most actionable ones
  • Detail pages that inline all related objects instead of linking to them
  • Tables with 10+ columns where 3 columns do 90% of the user's work
  • Forms that show all fields at once when a multi-step flow would reduce perceived complexity
  • Content-heavy onboarding that front-loads explanation before the user has done anything

评价

还没有评价。欢迎分享你的使用感受。

评论

无需登录即可发表。欢迎分享使用感受、提问,或说明在哪些环境下无法运行。

还没有评论。来写第一条吧。

提交后会立即公开。请勿填写邮箱、电话等个人信息。URL 最多 2 个。

0 / 1000 字

此表单受 reCAPTCHA 保护,适用 Google 的隐私权政策和服务条款。

同一仓库的技能

Design rigorous A/B tests with hypotheses, variants, metrics, and sample size calculations.

中文简介正在准备中。当前显示原文说明。

Infrasity-Labs/dev-gtm-claude-skills1432026年6月29日 更新

When the user wants to plan, design, or implement an A/B test or experiment, or build a growth experimentation program. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," "hypothesis," "should I test this," "which version is better," "test two versions," "statistical significance," "how long should I run this test," "growth experiments," "experiment velocity," "experiment backlog," "ICE score," "experimentation program," or "experiment playbook." Use this whenever someone is comparing two approaches and wants to measure which performs better, or when they want to build a systematic experimentation practice. For tracking implementation, see analytics. For page-level conversion optimization, see cro.

中文简介正在准备中。当前显示原文说明。

Infrasity-Labs/dev-gtm-claude-skills1432026年6月29日 更新

Format CVs for academic positions with publications, grants, and teaching

中文简介正在准备中。当前显示原文说明。

Infrasity-Labs/dev-gtm-claude-skills1432026年6月29日 更新

Conduct a comprehensive accessibility audit against WCAG guidelines with severity ratings and remediation steps.

中文简介正在准备中。当前显示原文说明。

Infrasity-Labs/dev-gtm-claude-skills1432026年6月29日 更新

Create accessibility testing plans covering assistive technologies and WCAG criteria.

中文简介正在准备中。当前显示原文说明。

Infrasity-Labs/dev-gtm-claude-skills1432026年6月29日 更新

When the user wants to generate, iterate, or scale ad creative — headlines, descriptions, primary text, or full ad variations — for any paid advertising platform. Also use when the user mentions 'ad copy variations,' 'ad creative,' 'generate headlines,' 'RSA headlines,' 'bulk ad copy,' 'ad iterations,' 'creative testing,' 'ad performance optimization,' 'write me some ads,' 'Facebook ad copy,' 'Google ad headlines,' 'LinkedIn ad text,' or 'I need more ad variations.' Use this whenever someone needs to produce ad copy at scale or iterate on existing ads. For campaign strategy and targeting, see ads. For landing page copy, see copywriting.

中文简介正在准备中。当前显示原文说明。

Infrasity-Labs/dev-gtm-claude-skills1432026年6月29日 更新

查看 Infrasity-Labs 的全部技能

报告此技能的问题