uxcel-lab/product-skills

ux-search

Design or critique search experiences — search input, auto-suggest, results page, filtering/sorting, and zero-results recovery.

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사용 방법

  1. 설치 명령을 복사하고 자신의 에이전트 환경에 설치하기 전에 소스 패키지를 확인하세요.
  2. 필요한 도구, 인증 정보, 지원 환경은 원본 문서에서 확인하세요.
  3. 입력과 원하는 산출물을 설명하고 출처와 결과를 대조하세요.
npx skills add https://github.com/uxcel-lab/product-skills --skill ux-search

시작 전 확인

  • 설치에는 모델 구독, API 한도, 파일 접근 권한이 포함되지 않습니다.
  • 별점 수와 설치 수는 활동 지표이며 독립적인 품질·보안 검증이 아닙니다.
원본 Skill 문서

원본 저장소의 제목, 예시, 코드, 표, 링크, 이미지를 유지해 표시합니다.

Search Skill

How this skill behaves (read first)

This is a generative skill. The default failure modes: a box and nothing more (an input that returns a bare list — no suggestions, no query persistence, no recovery), dead ends ("No results found." period), and feature stacking (rich suggestions + trending + recent + filters + chips everywhere, even where search is a minor utility). Search is a journey — formulate → suggest → results → refine — and which stages need investment depends on how users seek. This skill gates:

  1. Establish how users seek and how central search is — that decides which stages to invest in.
  2. Apply the always-true core — discoverable placement, working input conventions, suggestion basics, a scannable results page, no dead ends.
  3. Surface the context-dependent decisions (rich auto-suggest, filter layout, chips, view options) with trade-offs.

Then it hands off to `ux-heuristics-audit`, `ux-accessibility-audit`, `ux-aesthetics-audit`, and `ux-microcopy-audit` for validation.


Step 0 — Establish context before designing

Ask if not known; state the assumption if proceeding without an answer:

  • How do users seek here? Known-item (they can name what they want — invest in the input, auto-suggest, re-finding) vs. exploratory/semi-directed (vague needs that evolve — invest in suggestions, related searches, filters, browsing). Re-finding is chronically underserved: recent searches and history pay off everywhere.
  • How central is search? Search-first product (e-commerce, docs, booking) → persistent, prominent search and a rich results page. Search-as-emergency-exit → simpler treatment, but still discoverable.
  • Platform — mobile: persistent search (search-focused apps) vs. expandable icon (search-secondary apps); filters concealed behind a Filter button; comfortable one-handed targets.
  • Result type — products with images vs. documents vs. data rows: drives list-vs-grid and what a result row shows.

Remember information needs evolve mid-search and people browse rapidly (most page visits <10s) — design for iteration and scanning, not one perfect query.


The always-apply core (correct for almost every case)

The input

  • Put search where users look for it: top center or top right, on every page. Never behind a hamburger; on desktop, show the field itself, not just an icon.
  • Magnifying-glass icon inside the bar, and it's a working button that submits the query.
  • ~27-character input width — cramped inputs cause cramped, worse queries.
  • Placeholder = example queries ("Search flights, hotels, destinations"), muted so it can't read as filled-in text — never a label replacement.

Suggestions (the formulate stage)

  • Auto-suggest as users type — fewer typos, less cognitive load, faster queries. Cap at ~10 suggestions, no scrolling in the dropdown.
  • Visually split typed vs. suggested characters (bold/color) so users can scan why each suggestion appears.
  • Recent searches when the field is focused — recognition over recall for re-finding.

The results page

  • Keep the query visible and editable — first attempts usually need tweaking; never make users retype.
  • Show the match count — it tells users whether to refine, broaden, or start reviewing.
  • Highlight matching keywords in results — users scan, they don't read.
  • Loading is part of the experience: skeleton screens for result areas; progress/spinner with a short explanation for longer waits.
  • Pagination type fits the content (see ux-navigation for the pagination vs. infinite scroll decision and control specs).

No dead ends — ever

A bare "No results found" is the single worst search failure. The No-Results page always offers a way forward: alternative query suggestions, category links, similar/related items, or recommendations from past behavior.


The context-dependent decisions (surface, don't auto-apply)

DecisionApply whenAvoid / adapt whenDefault recommendation
Rich auto-suggest (thumbnails, category links, product previews)Known-item seeking with visual goods (e-commerce)Simple utility search — clutter slows the dropdownPlain query suggestions first; enrich only when recognition genuinely speeds choice
Trending/related searches before typingExploratory products where inspiration helps (stores, media)Task tools where it's noiseShow for discovery-driven products only
Persistent vs. expandable search (mobile)Persistent for search-focused apps; expandable icon to save space elsewhereHiding search in a search-first appMatch prominence to search centrality
FiltersResults sets large enough to need narrowingA dozen results (filters are overhead)5–7 visible filters, rest behind "More filters"; most-used first (from data); checkboxes for multi-select; familiar words ("Fabric," not "Textile")
Filter layoutVertical sidebar: many filter groups, desktop. Horizontal panel: few, attention-grabbing. Mobile: behind a Filter button above resultsHorizontal with many groups (eats the screen); sidebars users overlookVertical for filter-heavy desktop; horizontal for ≤ a handful; concealed on mobile
Auto-update vs. Apply buttonAuto-update results as filters change (low interaction cost)Slow connections / heavy queries — batch with an Apply button showing the match countAuto-update when fast; Apply+count when not
Filter chipsCompact, tappable refinement ("Open now," "Price: $$") updating results in place; applied-filter overview tags with × to removeMixing single- and multi-select chip sets on one page; chips below 48px touch targetsChips for quick filters + applied-filter overview; full panel for deep filtering
SortingAlways for comparable items (price, date, popularity) — users often prefer sorting over filteringMerging it into the filter panel (different mental model)Separate, visible sort control
List vs. grid viewList: spec-comparison (model numbers, ratings). Grid: visual goodsForcing one view for mixed contentDefault to the fit; offer a view toggle

Validate the result (orchestration)

Hand-offs name each lens by its installable skill name. Invoke one only if that skill is installed; if it isn't, this skill's own core already carries these rules — proceed without it rather than blocking.

After generating or revising, hand the result to the audit lenses rather than declaring it done. These are candidate lenses — posture is set by docs/orchestration-policy.md, or route the whole thing through ux-design-review. Here, `heuristics` and `microcopy` are Tier A (auto-run); `accessibility`, `aesthetics`, `information-architecture`, and `mobile-responsiveness` are Tier B (offered) — under an existing design system aesthetics is suppressed and accessibility narrows to usage; mobile-responsiveness applies only on mobile. If the user invoked this skill for one specific thing, respect that scope.

  • `ux-heuristics-audit` (Tier A) — visibility of system status (loading, match counts, applied filters shown twice), user control (clear-all-filters, editable query), recognition over recall (recent searches).
  • `ux-accessibility-audit` (Tier B — offer; narrow under a design system) — keyboard operability of the suggestion dropdown, touch targets (chips ≥48px, spacing ≥8px), contrast, focus management between input and results.
  • `ux-aesthetics-audit` (Tier B — offer; suppress under a design system) — results-page density and scannability, dropdown clutter, filter-panel visual organization.
  • `ux-microcopy-audit` (Tier A) — placeholder examples, filter labels in users' language, No-Results message tone and guidance.
  • `ux-information-architecture-audit` (Tier B — offer) — whether the content structure feeding search (categories, facets, metadata) supports the seeking modes, and whether browse paths complement search; this skill designs the search journey, IA owns the structure it searches.
  • `ux-mobile-responsiveness-audit` (Tier B — offer; applies only on mobile) — when the context is mobile: expandable/persistent pattern, concealed filters, one-handed reach.

If the audits surface a conflict (e.g., rich suggestions vs. dropdown speed and clarity), resolve back toward the primary task: the user wants to find the thing — every feature must shorten that path.


Common do/don't patterns

❌ Don't✅ Do
Search behind a hamburger / icon-only on desktopVisible field, top center/right, every page
Tiny input that fits two words~27 characters — room to think in keywords
Suggestion dropdown with 25 scrolling entries≤10, no scroll, typed vs. suggested visually split
Query vanishes when results loadQuery stays, editable
"No results found." and nothing elseAlternatives: corrected queries, categories, related items
Bare result list with no countMatch count + highlighted keywords
20 filters dumped in a sidebar5–7 visible, popular first, rest behind "More filters"
Applied filters invisible once setShown twice: checked in panel + removable overview tags
Sorting buried inside filtersSeparate sort control — different mental model
Radio buttons for combinable criteriaCheckboxes / multi-select chips
Blank screen while results loadSkeleton screens; spinner + explanation for long waits
Ship without checkingHand off to heuristics + accessibility + aesthetics + microcopy

Source lessons (Uxcel)

관련 작업

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