SkillsAdd

microsoft/ontology-playground · Archived

ontology-school-path-generator

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.

First seen Jul 10, 2026

Installation

$ npx skills add microsoft/ontology-playground --skill ontology-school-path-generator
View on skills.sh ↗ GitHub repository ↗

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Also in this package

Other skills from microsoft/ontology-playground.

npx skills add microsoft/ontology-playground
ontology-catalog-import 7 community-ontology-contribution 6 name-generator 6 theme-authoring 6

Browse all from microsoft/ontology-playground

More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
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GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

Stars 2.5K
License LICENSE
Default branch main
Open issues 5
Status Archived

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 2,006 B
  • docs README.md 479 B
  • docs SUMMARY.md 231 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 6 installs

SKILL.md

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