cognitive-load-theory

To reduce extraneous cognitive load, classify content strain as intrinsic, extraneous, or germane, then eliminate redundant preambles, split-attention, and formatting inconsistency. This preserves schema-building effort while cutting presentation-induced working-memory overload.

The working-memory budget heuristic applies an approximately four-chunk mental limit to decide when to segment, chunk, or reformat UI dashboard information. This ensures per-screen cognitive budgets fit how users actually process information.

Apply Cognitive Load Theory to review SKILL.md sections by identifying extraneous load like wall-of-text issues and redundant prose. Rewrite content to be more chunkable and segmented while preserving germane learning elements for schema formation.

Segment prompts when content exceeds the four-chunk working-memory budget or causes split-attention. Sequencing prompts into example-first formats and consistent schemas eliminates extraneous load while maintaining germane schema-building effort.

Cognitive Load Theory distinguishes intrinsic load from extraneous load for UI readability by separating inherent task complexity from presentation-induced overhead. This distinction guides what to cut versus what to keep when reformatting dashboards and prompts.

Chunking heuristics limit instructional design by relying on an approximate four-chunk budget that may not fit all domain complexity. Over-segmenting risks disrupting germane schema formation, so extraneous load must be cut without removing intrinsic learning elements.