Orchestrates zero-to-running-app in 8 stages — prerequisites → context → provision → model → load → explore → query → build. Each stage reads its own reference file. Supports HITL and fully autonomous operation. Use when starting a new Neo4j project from scratch, provisioning Aura, generating synthetic data, building a notebook or app, or running the full onboarding pipeline. Time budget ≤15 min autonomous, ≤90 min HITL. Does NOT cover Cypher query authoring — use neo4j-cypher-skill. Does NOT cover driver upgrades or Cypher migration — use neo4j-migration-skill. Does NOT cover CLI/admin tasks on an existing DB — use neo4j-cli-tools-skill.
85
92%
Does it follow best practices?
Impact
83%
2.67xAverage score across 2 eval scenarios
High
Do not use without reviewing
Jupyter notebook with autonomous mode and graph visualization
neo4j-rust-ext dependency
0%
0%
neo4j-viz in requirements
0%
100%
Graph visualization cell
0%
100%
Autonomous mode recorded
0%
100%
progress.md stage format
0%
100%
Context variables in progress.md
0%
100%
README uses portable python3
0%
100%
venv-scoped commands in README
0%
0%
notebook.ipynb at root
100%
100%
Connection verification
0%
100%
CYPHER 25 prefix
0%
100%
.gitignore entries
40%
100%
Schema query cell
0%
100%
RoutingControl.READ usage
0%
100%
Synthetic data pipeline for a supply chain Neo4j project
generate.py location
100%
100%
import.py location
100%
100%
schema.cypher location
100%
100%
reset.cypher location
0%
100%
No standalone neo4j dependency
0%
0%
Generate script is DB-free
100%
100%
Nodes before relationships
100%
100%
Batch size 500
0%
100%
MERGE not CREATE
100%
100%
Relationship MERGE safety
100%
100%
Correct reset.cypher pattern
0%
100%
CYPHER 25 prefix
0%
66%
Python type coercion
100%
33%
session.run for IN TRANSACTIONS
0%
50%
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Table of Contents
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.