@ruvector/graph-data-generator
CommunityGenerate synthetic graph data.
Software Engineering#machine learning#data generation#benchmark#synthetic data#graph data#graph database
Authorricable
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill automates the creation of synthetic graph data, which is crucial for testing, benchmarking, and training machine learning models without relying on real-world sensitive data.
Core Features & Use Cases
- Configurable Generation: Create graphs with specific topologies (scale-free, small-world, etc.), node/edge counts, and densities.
- AI-Powered Properties: Generate realistic node and edge properties using AI models for more lifelike datasets.
- Multiple Export Formats: Save generated graphs in various formats like JSON, GraphML, CSV, and Cypher.
- Use Case: Generate a synthetic social network with 10,000 users to test a new graph database's performance under load.
Quick Start
Generate a synthetic social network graph with 500 users.
Dependency Matrix
Required Modules
None requiredComponents
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: @ruvector/graph-data-generator Download link: https://github.com/ricable/cli-skills-builder/archive/main.zip#ruvector-graph-data-generator Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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