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card-sorting-generate

스타2

포크0

업데이트2026년 2월 6일 22:52

Generate materials for card sorting studies. Creates detailed lists of content items (cards) for user research and information architecture validation.

설치

Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.

Manus에서 실행

출처

dandye

dandye/information-architecture

GitHub 저장소 열기 Creator 저장소 보기

다운로드

Manus에서 실행

Generate Card Sorting Materials Skill

Prepare the materials necessary for a card sorting study. This skill analyzes content within a directory to generate a list of "cards" representing topics or pages, which can be used in open or closed card sorting exercises to validate categorization.

Inputs

PATH - The content source directory (e.g., "/help-center")
DEPTH - (Optional) Depth of directory traversal to select cards (default: 2)
SAMPLE_SIZE - (Optional) Maximum number of cards to generate (default: 50)
OUTPUT_FORMAT - (Optional) Output format: "csv", "json", "print-ready" (default: "csv")

Workflow

Step 1: Content Scanning

Scan the PATH to identify potential content items.

Filter out administrative files or non-content assets.
Focus on "leaf" nodes (actual pages) or significant section headers.

Step 2: Card Selection

Select a representative sample of content items.

If total items > SAMPLE_SIZE, use a sampling strategy (e.g., top traffic, strategic importance, or random distribution) to reduce the set.
Ensure coverage across different sections.

Step 3: Card Formatting

Prepare the data for each card.

Label: Clean, user-friendly title of the page/topic.
Description: Short summary or snippet (for context).
ID: Unique identifier (path or number).

Step 4: Output Generation

Format the list into the requested OUTPUT_FORMAT.

CSV: Compatible with tools like OptimalSort or Maze.
JSON: Structured data for custom apps.
Print-Ready: Formatted for printing and cutting (Markdown/HTML).

Required Outputs

A CARD_SORT_DATASET in the specified OUTPUT_FORMAT.

Example (CSV):

ID,Label,Description,Url
1,How to Reset Password,Instructions for account recovery,/auth/reset
2,Pricing Plans,Overview of subscription tiers,/pricing
3,API Keys,Managing developer credentials,/settings/api

Quick Reference

Purpose: Prepare for user research to understand how users mentally model information.
Types: Open Sort (users create categories) vs. Closed Sort (users sort into fixed categories).
Ideal Size: 30-60 cards for an effective study.

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name	card-sorting-generate
description	Generate materials for card sorting studies. Creates detailed lists of content items (cards) for user research and information architecture validation.
required_roles	{"scribe":"roles/scribe.viewer"}
personas	["information-architect","ux-researcher","content-strategist"]

Generate Card Sorting Materials Skill

Inputs

PATH - The content source directory (e.g., "/help-center")
DEPTH - (Optional) Depth of directory traversal to select cards (default: 2)
SAMPLE_SIZE - (Optional) Maximum number of cards to generate (default: 50)
OUTPUT_FORMAT - (Optional) Output format: "csv", "json", "print-ready" (default: "csv")

Workflow

Step 1: Content Scanning

Scan the PATH to identify potential content items.

Filter out administrative files or non-content assets.
Focus on "leaf" nodes (actual pages) or significant section headers.

Step 2: Card Selection

Select a representative sample of content items.

If total items > SAMPLE_SIZE, use a sampling strategy (e.g., top traffic, strategic importance, or random distribution) to reduce the set.
Ensure coverage across different sections.

Step 3: Card Formatting

Prepare the data for each card.

Label: Clean, user-friendly title of the page/topic.
Description: Short summary or snippet (for context).
ID: Unique identifier (path or number).

Step 4: Output Generation

Format the list into the requested OUTPUT_FORMAT.

CSV: Compatible with tools like OptimalSort or Maze.
JSON: Structured data for custom apps.
Print-Ready: Formatted for printing and cutting (Markdown/HTML).

Required Outputs

A CARD_SORT_DATASET in the specified OUTPUT_FORMAT.

Example (CSV):

ID,Label,Description,Url
1,How to Reset Password,Instructions for account recovery,/auth/reset
2,Pricing Plans,Overview of subscription tiers,/pricing
3,API Keys,Managing developer credentials,/settings/api

Quick Reference

Purpose: Prepare for user research to understand how users mentally model information.
Types: Open Sort (users create categories) vs. Closed Sort (users sort into fixed categories).
Ideal Size: 30-60 cards for an effective study.