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Generates a status report of all diagrams and MicroSims across an intelligent textbook's chapters, including difficulty, Bloom's level, and UI complexity. Use to audit visualization coverage before a content review.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
Generates illustrated graphic novel narratives about scientists, mathematicians, and historical figures for intelligent textbooks, with image prompts for each panel. Use when adding historical-figure or case-study stories to a textbook's Stories section.
Installs and configures intelligent-textbook infrastructure - scaffold a brand-new MkDocs Material textbook (init textbook), install any of 40 features (math, mascot, learning graph viewer, Google Analytics GA4, custom 404, kanban board), and generate book metrics. Routes to the appropriate installation guide.
Creates interactive educational MicroSims, routing to the best-matched generator - p5.js, Chart.js, Plotly, Mermaid, vis-network, timelines, maps, Venn, causal-loop/feedback-loop diagrams (CLD), concept-classifier sorting quizzes, infographic overlays with callout labels, and Docker Python labs (runnable code blocks). Generates complete MicroSim packages with HTML, JavaScript, CSS, documentation, and metadata.
Generates a comprehensive learning graph from a course description, including 200 concepts with dependencies, taxonomy categorization, and quality validation reports. Use this when the user wants to create a structured knowledge graph for educational content.
Wires Google Analytics 4 into an MkDocs Material site — creates a GA4 property, writes the Measurement ID into mkdocs.yml, verifies the tag, and deploys. Use when adding analytics to a textbook for the first time.
Generates detailed chapter content for an intelligent textbook — text, diagrams, MicroSims, and exercises at the appropriate Bloom's level. Use when a chapter's index.md exists with title, summary, and concept list.
| name | diagram-reports-generator |
| description | Generates a status report of all diagrams and MicroSims across an intelligent textbook's chapters, including difficulty, Bloom's level, and UI complexity. Use to audit visualization coverage before a content review. |
| model | haiku |
| license | null |
This skill automatically generates comprehensive reports of all diagrams and MicroSims in the geometry course by analyzing chapter markdown files. It creates two report files: a table view for quick reference and a detailed view organized by chapter.
Use this skill when:
If the project does not already have the diagram report generator script, install it from the skill's bundled resources:
src/diagram-reports/diagram-report.py exists in the projectmkdir -p src/diagram-reportsscripts/diagram-report.py to src/diagram-reports/diagram-report.pyExample installation:
# Create directory if needed
mkdir -p src/diagram-reports
# Copy script from skill (use Read tool to get script content, then Write tool to create file)
# The script is located in this skill's scripts/diagram-report.py
Before running the report generator, verify the project structure:
docs/chapters/ contains chapter directories (format: 01-chapter-name, 02-chapter-name, etc.)docs/learning-graph/ directory exists for outputExecute the Python script to generate the reports:
python src/diagram-reports/diagram-report.py
The script will:
docs/chapters/index.md file<details> blocks with "#### Diagram:" headersAfter running the script, verify two files were created in docs/learning-graph/:
diagram-table.md - A sortable table view with columns:
diagram-details.md - A detailed view organized by chapter with:
The generated reports should already be linked in the MkDocs navigation. Verify the mkdocs.yml file contains these entries under the "Learning Graph" section:
- Learning Graph:
- Diagrams Table: learning-graph/diagram-table.md
- Diagrams Details: learning-graph/diagram-details.md
If these entries are missing, add them to the navigation structure.
To view the generated reports:
mkdocs serve to start the local development serverThe script estimates difficulty based on:
Difficulty levels:
The script automatically detects Bloom's Taxonomy levels mentioned in specifications:
If the report shows zero elements:
#### Diagram: headers followed by <details> blocks<details> blocks include specification contentpython src/diagram-reports/diagram-report.py --verboseIf elements are missing type, status, or other fields:
<details> block format in chapter files**Type:**, **Status:**, and **Learning Objective:** fieldsIf chapter links don't work:
##-descriptive-nameSpecify a different output directory:
python src/diagram-reports/diagram-report.py --output-dir /path/to/output
For spreadsheet analysis:
python src/diagram-reports/diagram-report.py --format csv
For standalone HTML reports:
python src/diagram-reports/diagram-report.py --format html
Enable detailed logging:
python src/diagram-reports/diagram-report.py --verbose
This skill integrates with the broader intelligent textbook creation workflow:
This skill includes the complete Python script for generating diagram and MicroSim reports. The script will be installed into the user's project at src/diagram-reports/diagram-report.py when the skill is first used.
The script:
docs/chapters/<details> blocks