pex-cli

Query a FalkorDB knowledge graph to build study paths for CICM/ANZCA exam content.

7|3|Updated Jan 15, 2026
One-click install
npx skills add https://github.com/Zpankz/mcp-skillset --skill pex-cli
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: pex-cli
Source: https://github.com/Zpankz/mcp-skillset/tree/main/pex-cli
Command: npx skills add https://github.com/Zpankz/mcp-skillset --skill pex-cli

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Helps medical exam candidates quickly locate and connect Learning Outcomes, SAQs, and topics using a semantic, graph-backed interface, reducing time and cognitive load during exam preparation.

Core Features & Use Cases

  • Semantic search over Learning Outcomes, SAQs, concepts, and topics to surface relevant study material.
  • Prerequisite chains and learning paths to structure progressive study plans.
  • Ingestion and graph exploration tools to build, extend, and query the knowledge graph for exam preparation.

Quick Start

Query the knowledge graph for a topic to retrieve related learning outcomes and prerequisites.

Frequently Asked Questions about pex-cli

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build structured study paths for CICM and ANZCA exam preparation?

Semantic search over a graph-based knowledge base helps locate CICM and ANZCA Learning Outcomes, SAQs, and topics. It uses an embeddings model to provide similarity matching and context loading, reducing time spent finding relevant study material.

How do I identify prerequisite chains for medical exam learning outcomes?

You need FalkorDB installed for graph persistence and an embeddings model like Ollama for semantic similarity. These dependencies enable the knowledge graph ingestion and context loading required to query exam preparation content.

Can I use Ollama and FalkorDB to query a medical exam knowledge graph?

Ingesting exam content into the knowledge graph requires FalkorDB for persistence and an embeddings model like Ollama for semantic similarity. These dependencies enable the graph exploration tools needed to build and extend your study base.

What is the best way to semantically search SAQs and concepts for exam revision?

Ingesting exam content into the knowledge graph requires FalkorDB for persistence and an embeddings model like Ollama for semantic similarity. These dependencies enable the graph exploration tools needed to build and extend your study base.

Do I need an embeddings model to discover learning outcomes in a knowledge graph?

Ingesting exam content into the knowledge graph requires FalkorDB for persistence and an embeddings model like Ollama for semantic similarity. These dependencies enable the graph exploration tools needed to build and extend your study base.