Graph Engineering

Name: Graph Engineering
Availability: InStock
Author: codejunkie99

Teaches an agent graph engineering — both halves. Knowledge graphs (ontology design, entity/relation/event extraction, fusion, GraphRAG/memory serving; distilled and translated from Southeast…

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Last updated: September 2, 2026

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npx skills add codejunkie99/graph-engineering --skill graph-engineering

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knowledge-graph

pipeline

orchestration

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What it does. Graph engineering is the discipline of designing the structures 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. This file's 9-stage pipeline covers it, distilled from Southeast University's graduate KG course (https://github.com/npubird/KnowledgeGraphCourse, Prof. Peng Wang), translated to English and adapted for LLM-era agents. 2. Task graphs — how agents work. Nodes are jobs, edges are execution dependencies: parallel fan-out, separate verifier contexts, the stop rule, the human gate. Read references/task-graphs.md when the request is about orchestrating agents rather than building memory.

Highlights

Schema first, always. Extraction without an ontology produces a "graph" that is really a
Provenance on every fact. Each node/edge stores
```
source
```
,
```
extracted_at
```
, and confidence.
Incremental over big-bang. Process a 10-document pilot through all 9 stages before
LLM extraction is stage machinery, not the pipeline. The LLM slots into stages 4-6;
references/curriculum.md — Full translated curriculum of the

When to use it. Teaches an agent graph engineering — both halves. Knowledge graphs (ontology design, entity/relation/event extraction, fusion, GraphRAG/memory serving; distilled and translated from Southeast…

Install

npx skills add codejunkie99/graph-engineering --skill graph-engineering

Or copy the skill folder manually:

git clone https://github.com/codejunkie99/graph-engineering.git
cp -r graph-engineering/graph-engineering/ ~/.claude/skills/graph-engineering

Source: codejunkie99/graph-engineering — 471 stars, MIT, last pushed 2026-07-23.

Graph Engineering

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