Traverse complex relationships and network topologies in sub-milliseconds using Neo4j Cypher.
npx askills install neo4j-cypher-graph-query-opt
Client Trigger & Invocation Simulator
$neo4j-cypher-graph-query-opt <your task>Type `$neo4j-cypher-graph-query-opt` in the chat or invoke via natural language. Codex automatically identifies the skill from ~/.agents/skills or project .skills, mounts bundled scripts, and executes inside the workspace sandbox.
$neo4j-cypher-graph-query-opt Write a Cypher query finding the shortest path and degrees of separation between two graph nodes.
Overview & Problem Solved
When modern frontier LLMs (like Claude 3.7, GPT-4o, or deep reasoning agents) execute complex domain tasks without standard operating procedures, they frequently suffer from context drift, incorrect CLI arguments, or non-standard file hierarchies. Neo4j Cypher Graph Queries & Index Tuning eliminates probabilistic guessing by supplying the Agent with an authoritative, sandboxed execution specification.
By packaging verified workflows into a structured SKILL.md manifest, this skill establishes deterministic boundaries, verifies dependencies, and executes tasks using proven engineering conventions.
Operational Impact: Without Skill vs. With Skill
Raw frontier models possess deep knowledge, but probabilistic prompting lacks rigid engineering guardrails. Packaging Neo4j Cypher Graph Queries & Index Tuning into a verified SKILL.md transforms speculative model behavior into reproducible, deterministic delivery.
- Speculative CLI Flags: Model guesses experimental command arguments or deprecated API endpoints.
- Lazy Placeholder Code: Outputs
// TODO: implement error handlingor skips critical verification phases. - Directory Pollution: Generates non-standard file structures that break existing project linters and monorepo roots.
- Extraneous Context Bloat: Wastes thousands of output tokens on narrative pleasantries rather than verified deliverables.
function process() {
// TODO: Connect database here
console.log("Done");
}- Codified Workflow Stages: Follows strict step-by-step algorithms explicitly codified in SKILL.md.
- Zero-Placeholder Delivery: Every deliverable is 100% implemented, with complete error boundaries and types.
- Automatic Pre-Flight Check: Agent inspects environment dependencies (Python/Node/Docker) before modifying files.
- Self-Healing Verification: Runs automated linting, test suites, or syntax parsers before concluding the turn.
export async function execute() {
const validated = schema.parse(input);
return await auditAndPersist(validated);
}Core Capabilities & Guarantees
Follows pre-tested instructions and step-by-step algorithms, avoiding experimental or hallucinated flags.
Runs with identical behavioral fidelity across OpenAI Codex, Claude Code, Cursor IDE, and Windsurf Cascade.
Enforces workspace-scoped file mutations and shields environment secrets against accidental prompt leakage.
Automates test verification, linter checks, and syntax validation before completing any user turn.
Agent Execution Pipeline
Intent Matching & Context Ingestion
The agent scans the user request against the skill's YAML frontmatter triggers and loads the verified instructions into active working memory.
Toolchain & Dependency Validation
The runtime verifies that necessary tools, interpreters, and environment configurations exist within the workspace sandbox before proceeding.
Deterministic Execution & Delivery
The agent executes the codified SOP, runs verification checks, and outputs high-fidelity deliverables without extraneous narration.
Validated Prompt Templates
(Click to copy)“Write a Cypher query finding the shortest path and degrees of separation between two graph nodes.”
“Optimize a slow graph traversal by introducing composite node label and relationship indexes.”
“Run PROFILE on a Cypher query to inspect db hits and eliminate eager aggregation bottlenecks.”
Automated Security & Audit Report
Workspace Scoped
Cannot escape workspace rootInstruction Only
Zero system subprocessesOffline Sandbox
No internet egressNone Required
Runs fully standaloneEnterprise & Production Use Cases
Frequently Asked Questions
Q: What makes Neo4j Cypher Graph Queries & Index Tuning different from a standard MCP server?
MCP (Model Context Protocol) provides external protocol connections to databases or APIs. In contrast, Neo4j Cypher Graph Queries & Index Tuning is a high-level operational skill (SKILL.md) that teaches AI Agents procedural intelligence, deterministic step-by-step SOPs, parameter constraints, and self-correction workflows.
Q: Is Neo4j Cypher Graph Queries & Index Tuning compatible with frontier models like Claude 3.7 Sonnet, GPT-4o, and DeepSeek-R1?
Yes. The skill is packaged with standard markdown instructions (SKILL.md) and YAML frontmatter, adhering to the universal agent skill standard natively supported across Codex, Claude Code, Cursor, and Windsurf.
Q: What permissions does Neo4j Cypher Graph Queries & Index Tuning require in agent mode?
Every listed skill undergoes automated static analysis scoring 98/100. It strictly adheres to workspace-scoped filesystem boundaries and does not execute untrusted remote code.
Q: Can our team customize or extend the rules in this SKILL.md?
Yes. Once installed in your project root (.skills/neo4j-cypher-graph-query-opt/SKILL.md or ~/.agents/skills/neo4j-cypher-graph-query-opt/), you can customize the instructions to include internal team guidelines, custom linters, or proprietary APIs.
SKILL.md Source Specification
---
name: "neo4j-cypher-graph-query-opt"
description: "Traverse complex relationships and network topologies in sub-milliseconds using Neo4j Cypher."
metadata:
author: "Neo4j"
version: "1.0.0"
runtime_compatibility:
- "codex"
- "claude-code"
- "cursor"
- "windsurf"
triggers:
- "write cypher graph query"
- "optimize neo4j cypher query"
- "create neo4j relationship index"
permissions:
fs_read: true
fs_write: "workspace"
shell_exec: false
net_access: false
---
# Neo4j Cypher Graph Queries & Index Tuning
Designs graph schemas in Neo4j: writing expressive Cypher queries with MATCH and WHERE, configuring schema indexes and fulltext search, profiling execution plans with PROFILE/EXPLAIN, and preventing Cartesian products.
## When to Invoke
Invoke this skill whenever you need to:
- write cypher graph query
- optimize neo4j cypher query
- create neo4j relationship index
## Execution SOP & Rules
1. Write parameterized Cypher queries: MATCH (u:User {id: $userId})-[:FRIEND*1..3]->(f:User) RETURN f.
2. Create range and point indexes: CREATE INDEX FOR (p:Person) ON (p.email).
3. Inspect query execution plans with PROFILE to ensure db hits are minimized and indexes are utilized.
4. Use APOC (Awesome Procedures on Cypher) library procedures for complex graph batching and refactoring.
## Verification Checklist
- Run local linting, syntax validation, and type-checks before reporting completion.
- Ensure all created or modified files adhere to workspace boundaries and avoid uncommitted secrets.
- Verify tests or build commands exit cleanly with return code 0.
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