account-research
Research a company or person and get actionable sales intel. Works standalone with web search, supercharged when you connect…
\"Apply Cognitive Load Theory to optimize instructional design by managing intrinsic, extraneous, and germane load within working memory limits. Use this skill when the user needs to diagnose why learners are overwhelmed, redesign training or documentation for better
Claude Code
$ npx -y skills add charlieviettq/awesome-agent-skill --skill grad-cognitive-load --agent claude-code
Codex
$ npx skills add charlieviettq/awesome-agent-skill --skill grad-cognitive-load -a codex -y
Cursor
$ npx skills add charlieviettq/awesome-agent-skill --skill grad-cognitive-load -a cursor -y
Gemini CLI
$ npx skills add charlieviettq/awesome-agent-skill --skill grad-cognitive-load -a gemini-cli -y
GitHub Copilot
$ npx skills add charlieviettq/awesome-agent-skill --skill grad-cognitive-load -a github-copilot -y
OpenCode
$ npx skills add charlieviettq/awesome-agent-skill --skill grad-cognitive-load -a opencode -y
Windsurf
$ npx skills add charlieviettq/awesome-agent-skill --skill grad-cognitive-load -a windsurf -y
name: "\"grad-cognitive-load\"" description: "\"Apply Cognitive Load Theory to optimize instructional design by managing intrinsic, extraneous, and germane load within working memory limits. Use this skill when the user needs to diagnose why learners are overwhelmed, redesign training or documentation for better comprehension, evaluate UI/UX information architecture for cognitive burden, or when they ask 'why is this tutorial confusing', 'how to simplify complex instructions', or 'what causes information overload'.\"." allowed-tools: Read, Glob, Grep
Cognitive Load Theory (Sweller, 1988) is grounded in the architecture of human cognition: working memory is severely limited in capacity (7 +/- 2 items) and duration, while long-term memory is essentially unlimited. Effective instructional design must manage three types of cognitive load — intrinsic (task complexity), extraneous (poor design), and germane (schema construction) — so that total load does not exceed working memory capacity.
IRON LAW: Working memory capacity is FIXED and limited — instructional design must minimize extraneous load to maximize germane processing. Total load (intrinsic + extraneous + germane) must not exceed working memory capacity.
Key assumptions: 1. Working memory processes novel information; long-term memory stores schemas that bypass WM limits 2. Intrinsic load is determined by element interactivity — it cannot be reduced without changing the task 3. Extraneous load is under the designer's control and should always be minimized
Assess how many information elements must be processed simultaneously:
| Source | Description | Design Flaw | |--------|-------------|-------------| | Split-attention | Integrating spatially/temporally separated sources | Text far from diagram | | Redundancy | Processing identical information in multiple formats | Narration duplicating on-screen text | | Transient information | Information disappears before processing completes | Fast animations without pause | | Expertise reversal | Scaffolding that helps novices but hinders experts | Forced step-by-step for advanced users | | Seductive details | Interesting but irrelevant information | Decorative images, tangential stories |
Strategies to manage total cognitive load:
## Cognitive Load Analysis: [Context] ### Intrinsic Load Assessment - Element interactivity: [Low/Medium/High] - Key interacting elements: [list] - Learner expertise level: [Novice/Intermediate/Expert] ### Extraneous Load Audit | Source | Present? | Severity | Fix | |--------|----------|----------|-----| | Split-attention | [Yes/No] | [High/Med/Low] | [solution] | | Redundancy | [Yes/No] | [High/Med/Low] | [solution] | | Transient info | [Yes/No] | [High/Med/Low] | [solution] | | Seductive details | [Yes/No] | [High/Med/Low] | [solution] | ### Load Budget - Estimated total load: [Within/Exceeding capacity] - Extraneous reduction potential: [High/Medium/Low] ### Redesign Recommendations 1. [Primary extraneous load reduction] 2. [Segmenting or sequencing change] 3. [Germane load enhancement]
Curated skill pack for LLM agents in engineer and science workflow (Cursor & Claude ready).
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Ask which skill or flow fits your situation. A router over the skills in this repo.