learning-recommendation-engine

Original：🇺🇸 English

Translated

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".

1installs

Sourcepauljbernard/content

Added on2026-02-07

NPX Install

npx skill4agent add pauljbernard/content learning-recommendation-engine

SKILL.md Content

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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

bash

/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