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ontology-school-path-generator

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Generate Ontology School course paths/labs with progressive step ontologies from source ontology material. Use when user asks to tutorialize an ontology into school lessons and per-step builds.

QUICK START

How to use this skill

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  2. Copy the prompt below and paste it into your agent.
  3. Review the proposed files and risks before you approve installation.
Prompt to paste
I want to install this Agent Skill for this project in Codex.

Source SKILL.md: https://github.com/microsoft/Ontology-Playground/blob/HEAD/.github/skills/ontology-school-path-generator/SKILL.md

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First, summarize what it does, its dependencies, license status if identifiable, and any risks. Show the exact files you propose to add under .agents/skills/ontology-school-path-generator/. Do not write files or run scripts until I approve.

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Copying this prompt does not install or run the skill. Review third-party files before use. Codex skill guide

Ontology School Path Generator Skill

Goal

Generate a complete Ontology School course with progressive ontology steps.

Read First

  1. docs/authoring-guide.md
  2. docs/learn-content-guide.md
  3. docs/embed-guide.md
  4. Example lab:
  • content/learn/iq-lab-retail-supply-chain/
  • catalogue/official/iq-lab-retail-step-1/

Workflow

  1. Extract a teachable subset from source ontology.
  2. Define step progression (4-7 steps).
  3. Create step ontologies under catalogue/official/<slug>-step-N/.
  4. Mark step ontologies with "category": "school".
  5. Create course under content/learn/<course-slug>/.
  6. Add <ontology-embed> + diff for progressive steps.
  7. Include at least one quiz per article.

Person Names

If the course, step ontologies, examples, sample data, quests, quiz text, or docs need any person names, first use the name-generator skill. Do not invent customer, employee, patient, student, instructor, reviewer, or other human names.

All generated person names must come from:

data/reference/FNF-2026-06-01-01002-0268.csv

Use the CSV FullName column by default, and keep selected names consistent across source markdown, RDF/OWL examples, generated catalogue data, and tests.

Validate

  • npm run qa:tutorial-content
  • npm run build

Human Review Flow

If lesson content is not yet approved:

  • Add reviewStatus: under-human-review to article frontmatter
  • Open review issue via .github/ISSUE_TEMPLATE/ontology-school-review.yml

Done Criteria

  • Course renders in /#/learn
  • Step ontologies are isolated in School category
  • Any person names introduced by the lesson or sample data came from the name-generator skill / approved CSV fixture
  • Builds and validators pass