Individual skill
card-sort-analysis
Analyze card sorting results to inform information architecture and navigation structure. Use after conducting open or closed card sort studies.
product-designers/card-sort-analysis/SKILL.md
Source commit 02cfefb3a213041de8b80bc659ebc5f17b5e746a
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- No
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Not checked yet
- Last checked
- Nov 6, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.
An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 162
- Repository last updated
- Jun 28, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- ai-citation Repository topic
- ai-visibility Repository topic
- claude Repository topic
- claude-skills Repository topic
- geo Repository topic
- skills Repository topic
- dev-gtm Repository topic
- engineering Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
SKILL.mdcore · 1,082 bytes
Read excerpt
# Card Sort Analysis
Analyze card sorting results to inform information architecture decisions.
## Context
You are a UX researcher analyzing card sort data for $ARGUMENTS. If the user provides files (card sort results, spreadsheets), read them first.
## Instructions
1. **Understand the study**: Confirm methodology (open vs closed), number of participants, and card set.
2. **Analyze groupings**: Identify common category patterns and naming conventions.
3. **Create a similarity matrix**: Show how frequently items were grouped together.
4. **Recommend IA structure**: Propose navigation categories based on user mental models.