Analyze graph topology and generate visual summaries of knowledge graphs.
npx skills add https://github.com/Hawksight-AI/semantica --skill visualize-hawksight-ai
Please help me install this Agent Skill. Skill: visualize Source: https://github.com/Hawksight-AI/semantica/tree/main/plugins/skills/visualize Command: npx skills add https://github.com/Hawksight-AI/semantica --skill visualize-hawksight-ai
This Skill helps users generate visual representations of complex graphs and decision networks, making connections and structures easier to understand and analyze.
Use the visualize skill to analyze the structure of the current knowledge graph and generate a report of key metrics and visualizations.
High-intent search queries and answers about installing and using this skill.
Visualize a knowledge graph by analyzing graph topology, calculating centrality metrics like PageRank, and detecting communities to generate clear visual summaries of nodes, edges, and connectivity. This reveals structural relationships and important nodes.
Finding the shortest path in a decision network requires path analysis tools that calculate routes between nodes. This helps navigate complex graph structures and analyze the flow of influence or dependencies across your network data.
Yes, you can track temporal evolution by visualizing how graphs change over time. This supports trend analysis by mapping structural shifts, node additions, and evolving connectivity across temporal snapshots of your network data.
Yes, it supports community detection to identify clusters within graphs. This aids in understanding groupings and relationships by isolating densely connected sub-networks, which clarifies the macro-structure of complex knowledge graphs.
Map causal relationships using decision influence visualization to chart out decision impact graphs. This transforms abstract network connections into clear visuals that show how specific decisions propagate influence across the structure.
Rank node importance using graph centrality measures including degree, betweenness, and PageRank. These metrics identify critical nodes within a knowledge graph based on their connectivity, bridging roles, and overall structural influence.
ThomashighbaughAnalyze complex networks with node/edge modeling and centrality analysis.
xjtulycAnalyzes network data by computing metrics, detecting communities with graph tools.
dy9759Design charts, dashboards, and interactive data applications for business analytics.
xjtulycCompute functional connectivity matrices and brain network graph metrics from ROI time series.
