# Knowledge Graph

> Use this tool when you need to create personalized learning paths and track student mastery of concepts. It solves problems of knowledge retention and recall by providing spaced repetition scheduling and multi-dimensional mastery tracking. The tool accepts learning objectives and student performance data as inputs and outputs customized knowledge maps and review schedules, making it ideal for educational contexts where adaptive learning is key.

Canonical page: https://skillsregistry.net/skills/zcsabbagh-knowledge-graph  
JSON: https://api.skillsregistry.net/v1/skills/zcsabbagh-knowledge-graph

## Description

Enables building, querying, and updating personalized knowledge maps with spaced repetition scheduling for student learning. Features SQLite-backed graph storage with concepts as nodes and relationships as edges, multi-dimensional mastery tracking (recall, application, explanation), SM-2 algorithm for scheduling reviews, misconception detection, and Mermaid diagram generation for visualization.

## Trust

- **Trust score (0–1):** 0.63
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/zcsabbagh-knowledge-graph)
- **Repository:** <https://github.com/zcsabbagh/knowledge-graph-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "zcsabbagh-knowledge-graph"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/zcsabbagh-knowledge-graph` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/zcsabbagh-knowledge-graph/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt