install-learning-graph-viewer

To visualize a learning graph in a MkDocs project, load a learning-graph.json file and render it using an interactive vis.js-based network viewer with search and filtering capabilities.

A learning graph viewer is used to explore concept dependencies, filter nodes by taxonomy, search specific concepts, and view real-time graph statistics within an interactive MkDocs textbook workflow.

Yes, installing an interactive learning graph viewer requires a MkDocs-compatible project structure with a learning-graph.json file containing metadata, plus four asset files: main.html, script.js, local.css, and index.md.

To set up interactive graph visualization assets, copy the four essential files from the skill's assets directory to your target location, ensure learning-graph.json exists, and open main.html to launch the viewer.

Yes, you can filter learning graph nodes by taxonomy and view real-time statistics to assess graph completeness and explore concept dependencies directly within the interactive vis.js-based network visualization.

Yes, the graph viewer supports dynamic legend generation by using a groups configuration to style nodes, allowing distinct visual representation of different taxonomy categories within the learning graph network.