codejunkie99

Graph Engineering

Name: Graph Engineering
Author: codejunkie99

Data community

SOURCE https://github.com/codejunkie99/graph-engineering

Description

Graph engineering for AI agents: the 9-stage knowledge-graph pipeline (translated from SEU's graduate course) + task-graph orchestration patterns, as a Claude skill with teaching mode and paste-ready workflows

Installation

This entry records only its repository, not the path inside it, so there is no exact command to give. Open the source below and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

README

Graph Engineering

**The discipline of designing the structures AI agents work through — not the prompts.**

It has two halves:

Knowledge graphs — what agents remember. Nodes are entities and facts, edges are relationships with time and provenance. Ontology → extraction → fusion → serving.
Task graphs — how agents work. Nodes are jobs, edges are execution dependencies. Parallel fan-out, separate verifiers, the stop rule, the human gate.

Prompt engineers steered the model's words. Loop engineers steered its iterations. Graph engineers steer its **topology**.

This repo turns Southeast University's graduate Knowledge Graph course ([npubird/KnowledgeGraphCourse](https://github.com/npubird/KnowledgeGraphCourse), 4.4K★, taught in Chinese since 2019) — plus the modern agent-orchestration research behind task graphs — into things you can actually use today.

What's inside

Path	What it is
`graph-engineering/`	The skill. Hand it to your agent (Claude Code / any skill-compatible harness) — it learns the full 9-stage knowledge-graph pipeline, the task-graph patterns, and a teaching mode that explains every stage with diagrams drawn from your domain.
`graph-engineering/references/`	The distilled course: curriculum map (translated, with links to the original Chinese decks), modeling, extraction, fusion + GraphRAG, task graphs.
`WORKFLOWS.md`	Nine paste-ready prompt blocks — a `/kg-tutor` that teaches you the whole course interactively, plus eight single-purpose tools (`/kg-scope` → `/kg-rag`) that chain into a full build.
`dist/graph-engineering.skill`	The packaged skill file.