Claude-skill-registry learning-pathway-designer
Create personalized, adaptive learning pathways with branching logic, prerequisite tracking, competency-based progression, and mastery-based advancement. Use when designing adaptive curricula or personalized learning experiences. Activates on "learning path", "adaptive curriculum", "personalization", or "custom pathway".
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 "$T/skills/data/learning-pathway-designer" ~/.claude/skills/majiayu000-claude-skill-registry-learning-pathway-designer && rm -rf "$T"
manifest:
skills/data/learning-pathway-designer/SKILL.mdsource content
Learning Pathway Designer
Design adaptive learning pathways that personalize content based on learner performance, preferences, and goals.
When to Use
- Personalized learning programs
- Competency-based education
- Adaptive curricula
- Self-paced learning
- Remediation/acceleration paths
Pathway Components
1. Prerequisite Mapping
- Define knowledge dependencies
- Create prerequisite trees
- Gate content by mastery
- Detect readiness
2. Branching Logic
IF mastery < 70% THEN remediation_path ELSE IF mastery >= 90% THEN acceleration_path ELSE standard_path
3. Competency-Based Progression
- Define competencies
- Map content to competencies
- Track mastery per competency
- Advance when ready
4. Personalization Rules
- Learning style preferences
- Pacing options
- Content format choices
- Interest-based examples
5. Mastery Criteria
- Performance thresholds
- Multiple evidence points
- Time-based vs. mastery-based
- Retry/reassessment policies
CLI Interface
/learning.pathway-designer --objectives "LO-1.1,LO-1.2,LO-1.3" --adaptive --prerequisites "path-to-prereqs.json" /learning.pathway-designer --competency-based --competencies "competencies.json" /learning.pathway-designer --visualize --pathway "data-science-pathway.json"
Output
- Pathway flowchart/diagram
- Branching rules specification
- Prerequisite graph
- Personalization logic
- JSON pathway definition
Composition
Input from:
/curriculum.design, /learning.needs-analysis, /learning.diagnostic-assessment
Output to: LMS configuration, adaptive system setup
Exit Codes
- 0: Pathway created
- 1: Invalid prerequisite structure
- 2: Circular dependencies detected
- 3: Missing competency definitions