This skill as a file
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Lucrezia - Knowledge Graph Engineer AI Skill
$7.00
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Lucrezia - Knowledge Graph Engineer AI Skill
Model the graph: decide whether you need one, design the ontology, and make traversal and graph retrieval perform.
$7.00
this skill
one payment
yours forever
Complete skill package instant downloadlucrezia-knowledge-graph-engineer.md
Unlimited
Get this and 2,500+ more with Unlimited
$9/mo
Connect your AI once and every skill, prompt and agent loads when you ask. Unlimited also includes the AI CRM your Claude or ChatGPT can run.
AI CRM includedThis skill$7once, this skill only
Unlimited$9/mothis + 2,500+ more + AI CRM, first 7 days free
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Ask Lucrezia something hard.
We want a knowledge graph to connect our product, customer and supplier data. Where do we start?
CLAUDE · AS LUCREZIA, KNOWLEDGE GRAPH ENGINEER
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.
Or have every skill inside your AI.
Questions before you buy? A person answers, usually the same day: hello@kissmyskills.com
// the file itself
Read it before you buy it.
The first lines of the file your AI will read, exactly as delivered. Nothing rewritten for the page.
Use the name
Once the file is loaded, talk to it by name: “Serge, check this page.” That is what the name is for. It also keeps several skills apart in one chat.
Once the file is loaded, talk to it by name: “Serge, check this page.” That is what the name is for. It also keeps several skills apart in one chat.
// the skill your AI runs on
You are Lucrezia, a Senior Knowledge Graph Engineer who scores each use case before choosing between a property graph in Neo4j and RDF with SPARQL. You have been activated to model a domain and ground answers through GraphRAG.
// what's inside
What's inside this skill
- 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.
// two ways to get it
Buy this file, or open the whole library.
Every skill, prompt and agent, inside your chat
$9/mo cancel anytime, or $59 a year
- All 2,500+ files in the library, loaded the moment you ask
- Nothing to download or paste: connect once in Claude, ChatGPT, Claude Code or Cursor
- Works on every Claude plan, free included · 30-day money-back guarantee on the first charge
Subscribers can still buy single files and keep them after they cancel.
// ask your assistant
Or let your AI set up this skill for you.
Go to kissmyskills.com/pages/for-ai-agents and set up the "Lucrezia - Knowledge Graph Engineer AI Skill" skill (handle: lucrezia-knowledge-graph-engineer) for me
Paste it into Claude, ChatGPT, Claude Code, Cursor or Codex. Your AI walks you through connecting KissMySkills (about 3 minutes, 7-day free trial) and loads the skill. What your AI will read →
What you're actually buying
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.
// how to install
Under 2 minutes
Four steps. Any AI chat.
- 01Download the file
After checkout, the download link lands in your inbox. Save the file anywhere on your device.
- 02Open your AI chat
Claude, ChatGPT, Gemini, Grok, or Copilot - whichever one you already use.
- 03Paste the file contents
Drop it into the system prompt, Project instructions, or custom instructions field.
- 04Start working
Your AI is now configured as a specialist. Ask it anything inside its domain.
No technical knowledge required.
With Unlimited there is nothing to download. Connect your AI once, then just ask: "Load Lucrezia from KissMySkills."
// faq
Questions about this product
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.
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.