| name | network-visualizer |
| description | Skill for visualizing network and graph data |
| allowed-tools | ["Bash","Read","Write"] |
| metadata | {"specialization":"scientific-discovery","domain":"science","category":"Visualization","skill-id":"SK-SCIDISC-022"} |
| graph | {"domains":["domain:scientific-discovery"],"specializations":["specialization:scientific-research-methods"],"skillAreas":["skill-area:data-analysis","skill-area:statistical-analysis","skill-area:deep-web-research"],"workflows":["workflow:experiment-design","workflow:peer-review-cycle"],"roles":["role:research-engineer","role:computational-scientist"]} |
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
- Import network data
- Select layout algorithm
- Configure styling
- Apply analysis overlays
- Refine visualization
- 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
