cognitive-load
✓Design experiences that optimize mental resources using Cognitive Load Theory. Use when designing interfaces, creating onboarding flows, planning information architecture, or improving task completion rates.
Installation
SKILL.md
Cognitive Load Theory (CLT), developed by John Sweller, provides a framework for designing experiences that work with human working memory limitations. Understanding the three types of cognitive load helps create interfaces that feel effortless and intuitive.
What it is: The inherent difficulty of the task itself.
| Determined by task complexity | Filing taxes vs. sending email | | Varies by user expertise | Expert finds it easy, novice struggles | | Cannot be eliminated | Only managed through design |
Design experiences that optimize mental resources using Cognitive Load Theory. Use when designing interfaces, creating onboarding flows, planning information architecture, or improving task completion rates. Source: flpbalada/my-opencode-config.
Facts (cite-ready)
Stable fields and commands for AI/search citations.
- Install command
npx skills add https://github.com/flpbalada/my-opencode-config --skill cognitive-load- Category
- >_Productivity
- Verified
- ✓
- First Seen
- 2026-02-01
- Updated
- 2026-02-18
Quick answers
What is cognitive-load?
Design experiences that optimize mental resources using Cognitive Load Theory. Use when designing interfaces, creating onboarding flows, planning information architecture, or improving task completion rates. Source: flpbalada/my-opencode-config.
How do I install cognitive-load?
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/flpbalada/my-opencode-config --skill cognitive-load Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor
Where is the source repository?
https://github.com/flpbalada/my-opencode-config
Details
- Category
- >_Productivity
- Source
- skills.sh
- First Seen
- 2026-02-01