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Neo4J Cypher Guide

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tomasonjo·vlatest·database

This skill provides a helpful Cypher query guide for Neo4j, simplifying complex graph database interactions and boosting your efficiency.

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add tomasonjo/blogs --skill neo4j-cypher-guide -a claude-code
  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

tomasonjo

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

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    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned tomasonjo/blogs at 11fd30bdf4.

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Scanned
4 files, 702 lines
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What each check looks for →

About this skill

What it does

This skill provides a comprehensive guide to writing and executing Cypher queries, the specialized query language used to interact with Neo4j graph databases. It assists developers in constructing complex graph traversals, managing node and relationship properties, and optimizing database operations for efficient data retrieval.

When to use it

  • You need to retrieve specific nodes or relationships based on defined connection patterns within a graph structure.
  • You are designing a schema or performing data manipulation tasks such as creating, updating, or deleting graph elements.
  • You require assistance in debugging complex query logic or optimizing performance for large-scale graph datasets.
  • You want to learn the syntax and best practices for querying Neo4j databases effectively.

Key capabilities

  • Explains core Cypher syntax including MATCH, CREATE, DELETE, and UPDATE statements.
  • Guides users through defining relationships and traversing multi-hop connections in a graph.
  • Offers examples for filtering results using WHERE clauses and sorting data with ORDER BY.
  • Provides insights into aggregating data using functions like COUNT, SUM, and AVG within queries.

Example prompts

  • "How do I write a Cypher query to find all friends of a specific user and their mutual connections?"
  • "What is the correct syntax to create a new node with specific properties and attach it to an existing relationship?"
  • "Can you explain how to optimize a slow-running Cypher query that traverses deep graph paths?"

Tips & gotchas

Ensure your Neo4j database schema accurately reflects the real-world entities and relationships you intend to model before writing complex queries. Always test queries on a subset of data first to verify logic and performance before applying changes to production datasets.