Claude-skill-registry learning-recommendation-engine

Generate personalized content recommendations based on learner profiles, performance, preferences, and learning analytics. Use for adaptive learning systems, content discovery, and personalized guidance. Activates on "recommend content", "next best", "personalization", or "what should I learn next".

install

source · Clone the upstream repo

git clone https://github.com/majiayu000/claude-skill-registry

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/majiayu000/claude-skill-registry "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/data/learning-recommendation-engine" ~/.claude/skills/majiayu000-claude-skill-registry-learning-recommendation-engine && rm -rf "$T"

manifest: skills/data/learning-recommendation-engine/SKILL.md

Learning Recommendation Engine

Recommend optimal learning resources, activities, and pathways based on learner data and performance patterns.

When to Use

Personalized content recommendations
Next-best-action suggestions
Resource matching
Difficulty adaptation
Intervention triggers

Recommendation Logic

Collaborative filtering (learners like you learned X)
Content-based (similar to what you've done)
Performance-based (fill your gaps)
Goal-oriented (towards your objectives)
Engagement-based (what keeps you learning)

CLI Interface

/learning.recommendation-engine --learner-profile "profile.json" --context "struggling with calculus"
/learning.recommendation-engine --next-best-action --performance "recent-scores.json"

Output

Ranked recommendations with rationale
Personalized learning queue
Intervention triggers
Resource suggestions

Composition

Input from:

/learning.pathway-designer

/curriculum.analyze-outcomes

Output to: Personalized learning experience

Exit Codes

0: Recommendations generated
1: Insufficient learner data
2: Invalid profile format