Agent Skills › microsoft/Ontology-Playground › ontology-school-path-generator

ontology-school-path-generator

GitHub

将本体知识转化为循序渐进的学校课程和实验，生成包含步骤本体、嵌入代码及测验的教学内容。

.github/skills/ontology-school-path-generator/SKILL.md microsoft/Ontology-Playground

Trigger Scenarios

用户要求将本体教程化请求生成本体学校课程路径

Install

npx skills add microsoft/Ontology-Playground --skill ontology-school-path-generator -g -y

More Options

Non-standard path

npx skills add https://github.com/microsoft/Ontology-Playground/tree/main/.github/skills/ontology-school-path-generator -g -y

Use without installing

npx skills use microsoft/Ontology-Playground@ontology-school-path-generator

指定 Agent (Claude Code)

npx skills add microsoft/Ontology-Playground --skill ontology-school-path-generator -a claude-code -g -y

安装 repo 全部 skill

npx skills add microsoft/Ontology-Playground --all -g -y

预览 repo 内 skill

npx skills add microsoft/Ontology-Playground --list

SKILL.md

Frontmatter

{
    "name": "ontology-school-path-generator",
    "description": "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."
}

Ontology School Path Generator Skill

Goal

Generate a complete Ontology School course with progressive ontology steps.

Read First

docs/authoring-guide.md
docs/learn-content-guide.md
docs/embed-guide.md
Example lab:

content/learn/iq-lab-retail-supply-chain/
catalogue/official/iq-lab-retail-step-1/

Workflow

Extract a teachable subset from source ontology.
Define step progression (4-7 steps).
Create step ontologies under catalogue/official/<slug>-step-N/.
Mark step ontologies with "category": "school".
Create course under content/learn/<course-slug>/.
Add <ontology-embed> + diff for progressive steps.
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