Network Visualizer Skill

SkillDev tools

Skill for visualizing network and graph data

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the Network Visualizer Skill skill

What this skill tells your AI

The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/domains/science/scientific-discovery/skills/network-visualizer/SKILL.md and read by ahel’s review.

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

Signals

GitHub stars
2k
Forks
112
Last commit
Sep 2026
Advanced
Item type
skill
Key
network-visualizer
Source
github.com/a5c-ai/babysitter