Cognitive ux learning
Skill kfeng209-oss/cognitive-ux/skills/cognitive-ux-learning
Design and audit learning, course, tutoring, practice, and educational websites using cognitive-science evidence. Use when learners must understand, practice, receive feedback, remember, and return; return objective-to-practice sequencing, cognitive-load audit, accessible media rules, mastery signals, and learning—not just completion—measures.From its SKILL.md
npx -y skills add kfeng209-oss/cognitive-ux --skill cognitive-ux-learningAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
One thing to look at
- 1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
SKILL.md
2.7 KB, 457 tokens by cl100k_base, as published. Nobody here has run it
Cognitive UX: Learning & Courses
Scope
Use for teaching and practice experiences. Use cognitive-ux-content for informational reading with no deliberate practice loop.
Intake
- Identify learner prior knowledge, goal, context, access needs, and time between sessions.
- Identify learning objectives, prerequisite knowledge, practice, feedback, and assessment stakes.
- Identify media, authoring constraints, integrity requirements, and what counts as mastery.
State assumptions that could change the design. Define the primary user task, its consequence of failure, and a measurable success outcome before proposing a layout.
Design procedure
- Map each learning objective to explanation, worked example, guided practice, retrieval, feedback, and later review.
- Reduce extraneous cognitive load: segment complex material, align explanatory words and visuals, and remove irrelevant decoration or interruption.
- Use worked examples before independent problem solving for novice tasks; fade support as competence grows.
- Design feedback to identify what was wrong, why, and the next recoverable action; do not equate a video watch with learning.
- Provide captions, transcripts, keyboard access, clear progress/orientation, and alternatives for time- or media-dependent tasks.
Label each non-obvious recommendation as Standard / requirement, Evidence-informed default, or Hypothesis to test. Read archetype evidence before making research claims.
Required outputs
- objective-to-activity sequence
- cognitive-load and split-attention audit
- practice/feedback/review specification
- accessible media and assessment checklist
- delayed-retention and transfer test plan
- Evidence-to-decision table: decision → mechanism → source → label → limitation → test metric.
- Accessibility, ethics, and recovery-path checklist.
Guardrails
Do not use completion, streaks, or time-on-page as mastery; do not add seductive details, inaccessible media, or high-stakes grading without recovery/support.
Related skills
Use cognitive-ux-content, cognitive-ux-dashboard, and cognitive-ux-community. Do not combine multiple archetypes by default; select the primary user task and add another skill only when a secondary task is independently important.
What ships with it: 2 files
1.6 KB alongside SKILL.md
agents/
- openai.yaml211 B
references/
- archetype-evidence.md1.3 KB