Babysitter network-visualizer

Skill for visualizing network and graph data

install
source · Clone the upstream repo
git clone https://github.com/a5c-ai/babysitter
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/a5c-ai/babysitter "$T" && mkdir -p ~/.claude/skills && cp -r "$T/library/specializations/domains/science/scientific-discovery/skills/network-visualizer" ~/.claude/skills/a5c-ai-babysitter-network-visualizer && rm -rf "$T"
manifest: library/specializations/domains/science/scientific-discovery/skills/network-visualizer/SKILL.md
source 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