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install-learning-graph-viewer

@vishalsachdev/database-management
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This skill installs an interactive learning graph viewer application into an intelligent textbook project. Use this skill when working with a textbook that has a learning-graph.json file and needs a visual, interactive graph exploration tool with search, filtering, and statistics capabilities.

Install Skill

1Download skill
2Enable skills in Claude

Open claude.ai/settings/capabilities and find the "Skills" section

3Upload to Claude

Click "Upload skill" and select the downloaded ZIP file

Note: Please verify skill by going through its instructions before using it.

SKILL.md

name install-learning-graph-viewer
description This skill installs an interactive learning graph viewer application into an intelligent textbook project. Use this skill when working with a textbook that has a learning-graph.json file and needs a visual, interactive graph exploration tool with search, filtering, and statistics capabilities.

Install Learning Graph Viewer

Overview

This skill installs a complete interactive graph visualization application into the /docs/sims/graph-viewer/ directory of an intelligent textbook project. The viewer provides an interactive way to explore learning graphs with features like node search, category filtering, and real-time statistics.

When to Use This Skill

Use this skill when:

  • A learning graph has been generated (learning-graph.json exists in /docs/learning-graph/)
  • The textbook needs an interactive visualization tool for exploring concept dependencies
  • Students or instructors need to filter, search, and analyze the learning graph structure

Prerequisites:

  • /docs/learning-graph/learning-graph.json must exist
  • The JSON file must have metadata with a title field
  • MkDocs project structure must be in place

Installation Workflow

Step 1: Verify Prerequisites

Before installation, verify that the learning graph JSON file exists:

ls /docs/learning-graph/learning-graph.json

If the file doesn't exist, use the learning-graph-generator skill first to create the learning graph.

Step 2: Create Directory Structure

Create the graph-viewer directory:

mkdir -p /docs/sims/graph-viewer

Step 3: Install Viewer Files

Copy the four essential files from the skill's assets directory to the target location:

cp assets/main.html /docs/sims/graph-viewer/main.html
cp assets/script.js /docs/sims/graph-viewer/script.js
cp assets/local.css /docs/sims/graph-viewer/local.css
cp assets/index.md /docs/sims/graph-viewer/index.md

Step 4: Extract Title from Learning Graph JSON

Read the title from the learning graph metadata:

# Use Python or jq to extract the title
python3 -c "import json; data = json.load(open('/docs/learning-graph/learning-graph.json')); print(data.get('metadata', {}).get('title', 'Learning Graph'))"

If the metadata or title field doesn't exist, use a default title like "Learning Graph" or the course name.

Step 5: Update Title in main.html

Replace the "TITLE" placeholder in main.html with the extracted title:

  1. Read the extracted title from Step 4
  2. In /docs/sims/graph-viewer/main.html, replace all instances of "TITLE" with the actual course title
  3. This appears in two locations:
    • The <title> tag: <title>Learning Graph Viewer for TITLE</title>
    • The page heading: <h4>Learning Graph for TITLE</h4>

Step 6: Update MkDocs Navigation (Optional)

If the user wants the graph viewer in the site navigation, add it to mkdocs.yml:

nav:
  - MicroSims:
    - List of MicroSims: sims/index.md
    - Graph Viewer: sims/graph-viewer/index.md

Step 7: Inform the User

Provide the user with instructions to test the installation:

  1. Run mkdocs serve to start the local development server
  2. Navigate to the appropriate URL based on their repository name:
    • Format: http://localhost:8000/REPO_NAME/sims/graph-viewer/main.html
    • The REPO_NAME can be extracted from the git repository or inferred from the project structure
  3. Alternatively, if added to navigation, they can access it through the MkDocs site menu

Viewer Features

The installed graph viewer provides:

Search Functionality:

  • Type-ahead search with dropdown results
  • Shows category information for each node
  • Focuses and selects matching nodes in the visualization

Category Filtering:

  • Sidebar legend with color-coded categories
  • Checkboxes to show/hide specific taxonomy groups
  • "Check All" and "Uncheck All" bulk operations
  • Collapsible sidebar for expanded viewing

Real-time Statistics:

  • Visible node count
  • Visible edge count
  • Orphaned node count (concepts with no dependencies)

Interactive Visualization:

  • vis.js network graph with physics simulation
  • Color-coded nodes by taxonomy category
  • Directed edges showing concept dependencies
  • Zoomable and draggable interface

Technical Details

File Structure:

/docs/sims/graph-viewer/
├── main.html      # Main application HTML
├── script.js      # JavaScript logic for visualization
├── local.css      # Styling for the viewer
└── index.md       # Documentation page with iframe embed

Dependencies:

  • vis-network.js (loaded from CDN in main.html)
  • learning-graph.json (loaded from ../../learning-graph/learning-graph.json)

Data Path: The script.js file loads the learning graph from a relative path: ../../learning-graph/learning-graph.json. This assumes the standard intelligent textbook structure where /docs/sims/ and /docs/learning-graph/ are siblings.

Resources

assets/

This skill includes four asset files that get copied to the target directory:

  • main.html - The main viewer application HTML file with vis-network integration
  • script.js - Interactive JavaScript for search, filtering, and visualization
  • local.css - Stylesheet for the viewer interface
  • index.md - Documentation page explaining the viewer features

These files are templates from the learning-graphs repository and are ready to use without modification (except for the TITLE placeholder in main.html).