building-surmise-relations

Official

Pristine prerequisite discovery for knowledge spaces.

Authorvanderbilt-data-science
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This skill helps establish principled prerequisite relationships between knowledge items in a knowledge space by expert querying and structured reasoning, enabling robust knowledge-space construction.

Core Features & Use Cases

  • QUERY-based expert elicitation of direct prerequisites using a formalized questioning protocol.
  • IITA and FCA cross-validation to compare expert-derived relations with data-driven and lattice-based insights.
  • Graph I/O and governance: reading/writing graphs in graphs/*.json, conforming to schemas/knowledge-graph.schema.json, and updating surmise_relations and competence_relations with transitive closure and acyclicity checks.
  • Use Case: Deploy within course materials pipelines to generate a coherent prerequisite structure that supports adaptive assessment and personalized learning paths.

Quick Start

Start by running the surmise-relations workflow on your knowledge graph to produce and persist the updated item prerequisites.

Dependency Matrix

Required Modules

None required

Components

scriptsreferences

💻 Claude Code Installation

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Please help me install this Skill:
Name: building-surmise-relations
Download link: https://github.com/vanderbilt-data-science/knowledge-spaces/archive/main.zip#building-surmise-relations

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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