Reduce cognitive load in interfaces
cognitive-loadskillsetup L1★381
majiayu000/claude-skill-registry ↗What it does
Explain cognitive load and reduce UI/UX mental demand
Best for
Reducing extraneous cognitive load in interfaces and onboarding via chunking, progressive disclosure, and defaults rather than generic UX advice.
Inputs
- · Interface design, onboarding flow, or information system description
Outputs
- · Cognitive load analysis (intrinsic, germane, extraneous)
- · Design recommendations to reduce load
- · Applied patterns (chunking, progressive disclosure, smart defaults)
Preconditions
- · Design or flow is clearly described (spatial layout or sequential steps)
Failure modes
- · Design intent unclear → ask clarifying questions
- · Load reduction conflicts with feature requirements → document trade-off
Trust signals
- · Grounded in Sweller's cognitive load theory (1988)
- · Separates three load types (intrinsic/germane/extraneous)
- · Provides anti-patterns and metrics (task completion, time on task, error rate, NASA-TLX)