What does the Lucrezia skill do?

Model the graph: decide whether you need one, design the ontology, and make traversal and graph retrieval perform. Load it once into Claude Projects and you get a configured Knowledge Graph & Graph Data Engineer without re-explaining context at the start of every session. Check every number against a known-good source and an honest holdout before anyone builds a decision on it, and state the uncertainty instead of shipping a single confident point estimate.

How do I install this skill file?

Download the .skill package (it contains SKILL.md), paste the contents into Claude Projects Instructions or your AI's system prompt, add your own context and start your first session. Works with Claude, ChatGPT, or any AI chat that accepts system prompts.

Which AI tools does this skill work with?

Works with Claude (recommended), ChatGPT, Gemini, Perplexity and Copilot, and any AI chat that accepts system prompts. Claude Projects gives the best results.

What is included in this download?

One .skill package delivered instantly after purchase: the full SKILL.md role configuration plus a worked-example file with a real scenario so you see the quality before you rely on it. No subscription, yours permanently.

How is this different from using Claude without the Lucrezia skill?

Without a skill file your AI starts every session as a general assistant. With Lucrezia loaded it applies Knowledge Graph & Graph Data Engineer methodology from the first message, with consistent quality every time. Check every number against a known-good source and an honest holdout before anyone builds a decision on it, and state the uncertainty instead of shipping a single confident point estimate.

Knowledge Graph & Graph Data Engineer AI Skill for Claude & ChatGPT

Name: Lucrezia — Knowledge Graph & Graph Data Engineer AI Skill
Brand: KissMySkills
Price: 14.99 USD
Availability: InStock

Lucrezia — Knowledge Graph & Graph Data Engineer AI Skill

$14.99

Lucrezia — Knowledge Graph & Graph Data Engineer AI Skill

$14.99 this skill vs $128+/hr, hiring a knowledge graph engineer

⚡ Instant download ◆ Claude & ChatGPT ∞ Keep forever

Instant download · 30-day money-back guarantee. Pay once, keep forever — no subscription. Refund policy

Model the graph: decide whether you need one, design the ontology, and make traversal and graph retrieval perform.

Graph vs relational: the honest decision, with the join alternative
Property graph and Cypher vs RDF and SPARQL tradeoffs
Ontology design, entity resolution and disambiguation
Graph algorithms, supernodes, embeddings and graph-grounded retrieval

Teams considering a knowledge graph who need a straight answer on whether it will pay for itself.A knowledge graph engineer bills $128+/hr, this is one file, yours forever.

// what's inside

Drop Lucrezia into Claude and get a graph engineer who will tell you when your problem is a join, not a graph, before you buy a graph database.

Lucrezia works with data as a graph: when a graph genuinely beats relational and when it plainly does not; property graphs with Neo4j and Cypher versus RDF and SPARQL and the real tradeoff; ontology and taxonomy design, entity and relationship modelling and reification; entity resolution and disambiguation inside a graph; ingestion pipelines and incremental updates; graph algorithms in practice across pathfinding, centrality, community detection and similarity, and what each is actually good for; query performance, supernodes and index-free adjacency; graph embeddings and GNNs at a practical level; retrieval over graphs to ground LLM answers; and visualization a non-engineer can read.

What you get

→Graph vs relational: the honest decision, with the join alternative
→Property graph and Cypher vs RDF and SPARQL tradeoffs
→Ontology design, entity resolution and disambiguation
→Graph algorithms, supernodes, embeddings and graph-grounded retrieval

📄 lucrezia-knowledge-graph-engineer.skill Under 2 min install Works with Claude, ChatGPT & any AI chat

How to install

Download the .skill package → open Claude → paste SKILL.md into your Project Instructions or system prompt → describe your requirement → Lucrezia builds the answer. Includes a full worked example so you see exactly what you get.

lucrezia-knowledge-graph-engineer.skill

# Lucrezia - Knowledge Graph & Graph Data Engineer

You are Lucrezia, a knowledge graph and graph data engineer. You test the graph premise before building one, and a two-hop join is not a graph problem.

## How you work
1. Write the real queries first; check whether relational already answers them
2. Design the ontology and relationships, deliberately, before ingestion
3. Resolve and disambiguate entities; measure it against a known mapping
4. Tune for supernodes and traversal depth; pick algorithms by question

Never recommend a graph database when the workload is a join, and never present an algorithm output you cannot interpret.

Excerpt from the actual file you'll download.

// try it

prompt

$We want a knowledge graph to connect our product, customer and supplier data. Where do we start?

Lucrezia returns a straight verdict on whether a graph beats a relational model for the actual queries, an ontology and relationship design, an entity resolution approach with measured accuracy against the legacy mapping, an ingestion and incremental update plan, the graph algorithms worth running and what each answers, a performance plan for supernodes, and a graph-grounded retrieval design if LLM answers are the goal.

// how to install Under 2 minutes

Four steps. Any AI chat.

01
Download the file
After checkout, the download link lands in your inbox. Save the file anywhere on your device.
02
Open your AI chat
Claude, ChatGPT, Gemini, Grok, or Copilot — whichever one you already use.
03
Paste the file contents
Drop it into the system prompt, Project instructions, or custom instructions field.
04
Start working
Your AI is now configured as a specialist. Ask it anything inside its domain.