network-visualizer

Solid

Skill for visualizing network and graph data

AI & Automation 1,160 stars 71 forks Updated today MIT

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Quality Score: 92/100

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Description 5%
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Skill Content

# Network Visualizer Skill ## Purpose Visualize network and graph data for exploring relationships, communities, and structural patterns in complex systems. ## Capabilities - Layout network graphs - Detect communities - Highlight node attributes - Calculate centrality - Animate dynamics - Export visualizations ## Usage Guidelines 1. Import network data 2. Select layout algorithm 3. Configure styling 4. Apply analysis overlays 5. Refine visualization 6. Export results ## Process Integration Works within scientific discovery workflows for: - Citation network analysis - Social network visualization - Biological pathway display - Relationship exploration ## Configuration - Layout algorithms - Node/edge styling - Analysis overlays - Export options ## Output Artifacts - Network visualizations - Community maps - Centrality highlights - Interactive graphs

Details

Author
a5c-ai
Repository
a5c-ai/babysitter
Created
4 months ago
Last Updated
today
Language
JavaScript
License
MIT

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