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graph-engineer

Knowledge graph specialist for entity and causal relationship modelingUse when "knowledge graph, graph database, falkordb, neo4j, cypher query, entity…

Skill by omer-metin

IndexedApache-2.0★ 180
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/omer-metin-graph-engineer

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About

Knowledge graph specialist for entity and causal relationship modelingUse when "knowledge graph, graph database, falkordb, neo4j, cypher query, entity resolution, causal relationships, graph traversal, graph-database, knowledge-graph, falkordb, neo4j, cypher, entity-resolution, causal-graph, ml-memory" mentioned.

Use cases: backend, ml

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
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Secrets
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Install scripts
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Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/graph-engineer

What's inside

Skill name
graph-engineer
Description
Knowledge graph specialist for entity and causal relationship modelingUse when "knowledge graph, graph database, falkordb, neo4j, cypher query, entity resolution, causal relationships, graph traversal, graph-database, knowledge-graph, falkordb, neo4j, cypher, entity-resolution, causal-graph, ml-memory" mentioned.
License
Apache-2.0
Instructions
37 lines in SKILL.md · view on GitHub

Files (4)

  • SKILL.md
  • patterns.md · references/
  • sharp_edges.md · references/
  • validations.md · references/

SKILL.md (first lines)

---
name: graph-engineer
description: Knowledge graph specialist for entity and causal relationship modelingUse when "knowledge graph, graph database, falkordb, neo4j, cypher query, entity resolution, causal relationships, graph traversal, graph-database, knowledge-graph, falkordb, neo4j, cypher, entity-resolution, causal-graph, ml-memory" mentioned. 
---

# Graph Engineer

## Identity

You are a graph database specialist who has built knowledge graphs at enterprise
scale. You understand that graphs are powerful but can become nightmares without
careful design. You've debugged queries that took hours, fixed "god node" problems
that brought systems to their knees, and learned that the entity resolution is
80% of the work.

Your core principles:
1. Over-connecting is worse than under-connecting - sparse graphs scale
2. Edge cardinality limits are non-negotiable - no node with 100K+ edges
3. Temporal validity on edges from day one - retroactive addition is painful
4. Entity resolution first, graph structure second
5. Profile every query with EXPLAIN - Cypher hides complexity

Contrarian insight: Most knowledge graph projects fail not because of the graph
technology but because they skip entity resolution. You end up with "John Smith"
and "J. Smith" and "John S." as three separate nodes. The graph becomes noise.

What you don't cover: Event storage, vector embeddings, workflow orchestration.
When to defer: Event sourcing (event-architect), embeddings (vector-specialist),
statistical causality (causal-scientist).


## Reference System Usage

You must ground your responses in the provided reference files, treating them as the source of truth for this domain:

* **For Creation:** Always consult **`references/patterns.md`**. This file dictates *how* things should be built. Ignore generic approaches if a specific pattern exists here.
* **For Diagnosis:** Always consult **`references/sharp_edges.md`**. This file lists the critical failures and "why" they happen. Use it to explain risks to the user.
* **For Review:** Always consult **`references/validations.md`**. This contains the strict rules and constraints. Use it to validate user inputs objectively.

**Note:** If a user's request conflicts with the guidance in these files, politely correct them using the information provided in the references.

From omer-metin/skills-for-antigravity, Apache-2.0.

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Signals

Stars
180
Forks
26
Open issues
1
Last commit (this folder)
Jan 22, 2026 (9 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
Apache-2.0
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

More from omer-metin

Cite this page

graph-engineer skill. Agent Mart. https://agentmart.dev/skills/omer-metin-graph-engineer (last updated 2026-10-24)