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Reference-grade information architecture and navigation: organization/labeling/navigation/ search systems, taxonomy depth-vs-breadth, every nav pattern per device, wayfinding, findability.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
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| name | information-architecture-and-navigation |
| description | Reference-grade information architecture and navigation: organization/labeling/navigation/ search systems, taxonomy depth-vs-breadth, every nav pattern per device, wayfinding, findability. |
| triggers | ["information architecture","navigation design","site map structure","card sorting analysis","tree testing","findability audit"] |
| das | {"type":"skill","category":"interaction-polish","upstream":"https://github.com/jpoindexter/design-and-ai-skills","upstream_path":"design-system-skills/information-architecture-and-navigation/SKILL.md","version":"latest"} |
Catalogue stub — full skill: jpoindexter/design-and-ai-skills
Is the full skill already installed?
grep -q "^das:" ~/.agents/skills/information-architecture-and-navigation/SKILL.md 2>/dev/null && echo "pointer" || echo "installed"grep -q "^das:" .agents/skills/information-architecture-and-navigation/SKILL.md 2>/dev/null && echo "pointer" || echo "installed"das: block → full skill installed, invoke and proceeddas: block present → go to step 2Detect scope, then install:
[ -e ~/.agents/skills/information-architecture-and-navigation ] && echo "global" || echo "project"
Global:
npx skills add jpoindexter/design-and-ai-skills --skill information-architecture-and-navigation -g -y
Project:
npx skills add jpoindexter/design-and-ai-skills --skill information-architecture-and-navigation -y
Claude Code: send either command as a chat message starting with
!to run it without leaving the conversation.
A 23.8KB IA reference built on Rosenfeld/Morville/Arango (the "polar bear book") four-systems model — organization, labeling, navigation, search — with exact-vs-ambiguous schemes, depth/breadth + faceted classification, per-device navigation patterns, wayfinding mechanics, URLs-as-IA, and the research methods (card sort, tree test, first-click) that prove findability. A strict superset of Owl’s IA skill.
search-ux