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
Install
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
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: backend, ml
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
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
- Source
- GitHubgithub-graphql
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Cite this page
graph-engineer skill. Agent Mart. https://agentmart.dev/skills/omer-metin-graph-engineer (last updated 2026-10-24)