Taxonomy Distribution Report

Overview

• Total Concepts: 570
• Number of Taxonomies: 14
• Average Concepts per Taxonomy: 40.7

Distribution Summary

Category	TaxonomyID	Count	Percentage	Status
Interactive Simulations	MSIM	66	11.6%	✅
Learning Graphs	LGRAPH	52	9.1%	✅
Platform, Tooling, and Deployment	PLATFORM	48	8.4%	✅
Python Tooling and Automation	PYTOOL	47	8.2%	✅
Images, Infographics, and Media	MEDIA	47	8.2%	✅
Agent Skill Architecture	SKARCH	44	7.7%	✅
Token Optimization and Measurement	TOKEN	42	7.4%	✅
Skill Development and Portability	SKDEV	39	6.8%	✅
Course Design and Pedagogy	CDESIGN	36	6.3%	✅
Chapter and Content Generation	CONTENT	34	6.0%	✅
Supporting Content	SUPPORT	34	6.0%	✅
Foundations of AI and Intelligent Books	FOUND	31	5.4%	✅
Publishing, Metrics, and Promotion	PUBLISH	27	4.7%	✅
Domain-Specific Skill Extension	DOMAIN	23	4.0%	✅

Visual Distribution

Interactive Simulations   █████  66 ( 11.6%)
Learning Graphs           ████  52 (  9.1%)
Platform, Tooling, and De ████  48 (  8.4%)
Python Tooling and Automa ████  47 (  8.2%)
Images, Infographics, and ████  47 (  8.2%)
Agent Skill Architecture  ███  44 (  7.7%)
Token Optimization and Me ███  42 (  7.4%)
Skill Development and Por ███  39 (  6.8%)
Course Design and Pedagog ███  36 (  6.3%)
Chapter and Content Gener ██  34 (  6.0%)
Supporting Content        ██  34 (  6.0%)
Foundations of AI and Int ██  31 (  5.4%)
Publishing, Metrics, and  ██  27 (  4.7%)
Domain-Specific Skill Ext ██  23 (  4.0%)

Balance Analysis

✅ No Over-Represented Categories

All categories are under the 30% threshold. Good balance!

Category Details

Interactive Simulations (MSIM)

Count: 66 concepts (11.6%)

Concepts:

• 1. MicroSim
• 1. MicroSim Directory Structure
• 1. main.html File
• 1. style.css File
• 1. script.js File
• 1. data.json File
• 1. MicroSim metadata.json
• 1. MicroSim index.md File
• 1. File Separation Principle
• 1. Inline Code Antipattern
• 1. MicroSim Metadata Schema
• 1. Search Metadata Section
• 1. Educational Metadata Section
• 1. Technical Metadata Section
• 1. MicroSim Generator
• ...and 51 more

Learning Graphs (LGRAPH)

Count: 52 concepts (9.1%)

Concepts:

• 1. Learning Graph
• 1. Concept
• 1. Concept Label
• 1. Title Case Convention
• 1. Label Length Limit
• 1. Atomic Concept
• 1. Concept Granularity
• 1. Concept Enumeration
• 1. Concept List File
• 1. ConceptID Field
• 1. Learning Dependency
• 1. Dependency Edge
• 1. Prerequisite Relationship
• 1. Pipe-Delimited Dependencies
• 1. Learning Graph CSV Format
• ...and 37 more

Platform, Tooling, and Deployment (PLATFORM)

Count: 48 concepts (8.4%)

Concepts:

• 1. Markdown Formatting
• 1. Terminal Commands
• 1. Directory Navigation
• 1. Shell Scripting
• 1. Git
• 1. Git Repository Structure
• 1. Version Control Basics
• 1. GitHub Integration
• 1. Visual Studio Code
• 1. VS Code Terminal
• 1. IDE Agent Integration
• 1. MkDocs
• 1. MkDocs Material Theme
• 1. mkdocs.yml Configuration
• 1. Navigation Structure
• ...and 33 more

Python Tooling and Automation (PYTOOL)

Count: 47 concepts (8.2%)

Concepts:

• 1. Python
• 1. Python Standard Library
• 1. pip Package Management
• 1. Virtual Environment
• 1. Shebang Line
• 1. Command-Line Arguments
• 1. Python Scripts in Skills
• 1. Model Versus Script Division
• 1. Deterministic Computation
• 1. Idempotent Script Design
• 1. Script Exit Codes
• 1. Dry Run Mode
• 1. Verbose Output Mode
• 1. JSON Serialization
• 1. CSV Parsing in Python
• ...and 32 more

Images, Infographics, and Media (MEDIA)

Count: 47 concepts (8.2%)

Concepts:

• 1. Text-to-Image Model
• 1. Text Rendering in Images
• 1. Image Prompt Engineering
• 1. One-Shot Generation Risk
• 1. Fact Fabrication Rate
• 1. Baked-In Text Problem
• 1. Separating Facts From Pixels
• 1. Verified Infographic Pipeline
• 1. Claim Planning Phase
• 1. Source Discovery Phase
• 1. Passage-Level Verification
• 1. Claim Verification Report
• 1. Layout Specification Lock
• 1. Verbatim Text Prompt
• 1. Substitution Prohibition
• ...and 32 more

Agent Skill Architecture (SKARCH)

Count: 44 concepts (7.7%)

Concepts:

• 1. Agent Skill
• 1. Agent Skills Open Standard
• 1. SKILL.md File
• 1. YAML Frontmatter
• 1. Skill Name Field
• 1. Skill Description Field
• 1. Skill License Field
• 1. Compatibility Field
• 1. Skill Metadata Field
• 1. Allowed Tools Field
• 1. Vendor Extension Fields
• 1. Frontmatter Contract
• 1. Skill Directory Structure
• 1. References Directory
• 1. Scripts Directory
• ...and 29 more

Token Optimization and Measurement (TOKEN)

Count: 42 concepts (7.4%)

Concepts:

• 1. Token Budget
• 1. Token Cost Model
• 1. Input Versus Output Tokens
• 1. Token Frugality Principle
• 1. Claude Pro Plan Limits
• 1. Claude Max Plan Limits
• 1. Four-Hour Usage Window
• 1. Five-Hour Usage Window
• 1. Tokens Per Minute Limit
• 1. Rate Limit Handling
• 1. Context Window Management
• 1. Context Compaction
• 1. Sub-Agent Startup Overhead
• 1. Serial Agent Execution
• 1. Parallel Agent Execution
• ...and 27 more

Skill Development and Portability (SKDEV)

Count: 39 concepts (6.8%)

Concepts:

• 1. Skill Creator Skill
• 1. Writing a Skill Description
• 1. Description Trigger Testing
• 1. Skill Evaluation Harness
• 1. Skill Benchmarking
• 1. Skill Variance Analysis
• 1. Skill Testing and Debugging
• 1. Skill Failure Modes
• 1. Error Analysis in Skills
• 1. Improving Skill Quality
• 1. Skill Packaging
• 1. Skill Distribution Methods
• 1. Symbolic Link Installation
• 1. Global Skill Installation
• 1. Project-Specific Skills
• ...and 24 more

Course Design and Pedagogy (CDESIGN)

Count: 36 concepts (6.3%)

Concepts:

• 1. Course Description
• 1. Course Title
• 1. Target Audience Definition
• 1. Reading Level Specification
• 1. Course Prerequisites
• 1. Main Topics Covered
• 1. Topics Excluded From Scope
• 1. Descriptive Context
• 1. Learning Outcomes
• 1. Bloom's Taxonomy
• 1. Bloom's 1956 Original
• 1. Bloom's 2001 Revision
• 1. Remember Level
• 1. Understand Level
• 1. Apply Level
• ...and 21 more

Chapter and Content Generation (CONTENT)

Count: 34 concepts (6.0%)

Concepts:

• 1. Book Chapter Generator
• 1. Chapter Structure Design
• 1. Chapter Concept Assignment
• 1. Concept Coverage Exactly Once
• 1. Dependency-Ordered Chapters
• 1. Chapter Index File
• 1. Chapter Summary
• 1. Chapter Concept List
• 1. Chapter Content Generator
• 1. Section Organization
• 1. Prerequisite Ordering in Text
• 1. Admonition Blocks
• 1. Note and Tip Admonitions
• 1. Question Admonition
• 1. Details Disclosure Block
• ...and 19 more

Supporting Content (SUPPORT)

Count: 34 concepts (6.0%)

Concepts:

• 1. Glossary
• 1. Glossary Generator
• 1. ISO 11179 Standards
• 1. Precise Definition
• 1. Concise Definition
• 1. Distinct Definition
• 1. Non-Circular Definition
• 1. Definitions Without Rules
• 1. Term Extraction
• 1. Glossary Term Ordering
• 1. Glossary Anchor Links
• 1. Glossary Quality Report
• 1. FAQ
• 1. FAQ Generator
• 1. FAQ Categorization
• ...and 19 more

Foundations of AI and Intelligent Books (FOUND)

Count: 31 concepts (5.4%)

Concepts:

• 1. Artificial Intelligence
• 1. Large Language Model
• 1. Token
• 1. Tokenization
• 1. Context Window
• 1. Prompt
• 1. Prompt Engineering
• 1. System Prompt
• 1. Nondeterminism in LLM Output
• 1. Hallucination
• 1. Grounding and Verification
• 1. AI Coding Agent
• 1. Tool Use by Agents
• 1. Agentic Workflow
• 1. Human in the Loop
• ...and 16 more

Publishing, Metrics, and Promotion (PUBLISH)

Count: 27 concepts (4.7%)

Concepts:

• 1. Book Metrics
• 1. book-metrics.json Hub
• 1. Canonical Metrics Principle
• 1. Word Count Metric
• 1. Equivalent Page Count
• 1. Equation Count
• 1. Chapter Metrics Report
• 1. Site Metrics Collection
• 1. Book Status Report
• 1. Book Publisher Skill
• 1. README Generation
• 1. Repository Badges
• 1. Getting Started Section
• 1. LinkedIn Announcement Post
• 1. LinkedIn Carousel Document
• ...and 12 more

Domain-Specific Skill Extension (DOMAIN)

Count: 23 concepts (4.0%)

Concepts:

• 1. Domain-Specific Skill
• 1. Core Versus Domain Skills
• 1. Domain Vocabulary Gap
• 1. Project-Local Skill Directory
• 1. Domain Skill Standards
• 1. Circuit Schematic Generation
• 1. Schemdraw Library
• 1. Prose to Circuit Translation
• 1. Schematic Verification
• 1. Solderless Breadboard
• 1. Breadboard Tie Points
• 1. Component Placement
• 1. Jumper Wire Routing
• 1. Animated Current Flow
• 1. Digital Circuit Simulation
• ...and 8 more

Recommendations

• ✅ Excellent balance: Categories are evenly distributed (spread: 7.5%)
• ✅ MISC category minimal: Good categorization specificity

Educational Use Recommendations

• Use taxonomy categories for color-coding in graph visualizations
• Design curriculum modules based on taxonomy groupings
• Create filtered views for focused learning paths
• Use categories for assessment organization
• Enable navigation by topic area in interactive tools

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Report generated by learning-graph-reports/taxonomy_distribution.py