community-ontology-contribution

Adicionar uma ontologia de contribuidor ao catálogo/community/. Use quando um membro da comunidade enviar um arquivo RDF/OWL e quiser que ele seja listado no catálogo do Playground sob…

npx skills add https://github.com/microsoft/ontology-playground --skill community-ontology-contribution

Community Ontology Contribution Skill

Goal

Place a contributor's ontology under the correct catalogue path and produce a valid, compilable community entry.

Accept only submissions that are new or materially different from existing catalogue entries and that contribute reusable community value. A good community ontology models a domain, workflow, teaching scenario, or reusable pattern that others can inspect, learn from, or adapt. Do not accept vanity-only entries, placeholder ontologies, duplicates, or profiles of a person or organization with no meaningful domain model.


CRITICAL: Directory Structure

The catalogue compiler scans exactly three levels deep:

catalogue/community/<github-username>/<slug>/

Both the <github-username> folder and the <slug> subfolder are required. Files placed directly in catalogue/community/<github-username>/ will be silently skipped by the compiler and the ontology will never appear in the catalogue.

✅ Correct

catalogue/community/jane-doe/supply-chain/
├── metadata.json
└── ontology.rdf        ← or ontology.owl

❌ Wrong — silently skipped

catalogue/community/jane-doe/
├── metadata.json       ← wrong depth
└── ontology.rdf        ← wrong depth

Step-by-Step Workflow

1. Determine the username and slug

  • <github-username> — the contributor's GitHub username (lowercased, as-is)
  • <slug> — short kebab-case name for this ontology (e.g. supply-chain, hr-system)

2. Create the directory

mkdir -p catalogue/community/<github-username>/<slug>/

3. Place the RDF/OWL file

Copy the file in and rename it ontology.rdf (or ontology.owl):

cp <source-file> catalogue/community/<github-username>/<slug>/ontology.rdf

4. Create metadata.json

Required fields (name, description, category) — missing any one causes a compile error:

{
  "name": "Human-Readable Ontology Name",
  "description": "One-sentence description of the domain.",
  "category": "general",
  "icon": "🏭",
  "tags": ["tag1", "tag2"],
  "author": "<github-username>"
}

category must be one of: retail | healthcare | finance | manufacturing | education | food | media | events | general | school | fibo

No extra fields are allowed (additionalProperties: false in the schema). The catalogue ID is derived from the filesystem path, so do not add an id field. The fabric_forum_user_name and author_linkedin fields are also not in the schema — omit them unless the schema is updated first.

4a. Person names in examples or sample data

If you create, repair, or normalize sample instances, examples, docs, quests, or RDF/OWL literals that need person names, first use the name-generator skill. Do not invent customer, employee, patient, student, instructor, reviewer, or other human names.

All new person names must come from the FullName column in:

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

5. Validate

npm run catalogue:build

Look for:

✔ community/<slug>

If you see a compile error or the entry is absent, re-check:

  • Directory depth (username folder + slug subfolder both present?)
  • All three required fields in metadata.json (name, description, category)
  • Valid category value
  • No extra fields in metadata.json
  • Whether the submission is genuinely new and useful for the wider community

6. Full build check

npm run build

Common Mistakes (from real PRs)

MistakeEffectFix
Files at community/<username>/ with no slug subfolderSilently skipped — entry never appearsAdd <slug>/ subfolder
Missing name field in metadata.jsonCompile errorAdd "name": "..."
Invalid category valueCompile errorUse one of the allowed values
Extra fields (id, fabric_forum_user_name, etc.)Compile error (additionalProperties)Remove the extra fields
Ontology file named something other than ontology.rdf/.owlInconsistent with repo conventionRename to ontology.rdf or ontology.owl
Vanity-only or duplicate submissionNot accepted in reviewAsk for a reusable domain model or reject

Done Criteria

  • npm run catalogue:build outputs a successful community catalogue entry
  • npm run build passes with no TypeScript or Vite errors
  • Entry appears in public/catalogue.json with correct name, description, category
  • source field in compiled entry is "community"
  • Submission is new or materially different from existing catalogue entries
  • Submission has a clear reusable domain, workflow, or teaching value
  • Any person names introduced while preparing the contribution came from the name-generator skill / approved CSV fixture

Mais skills de microsoft

oss-growth
microsoft
Persona de growth hacker OSS
agent-framework-azure-ai-py
microsoft
Crie agentes do Azure AI Foundry usando o SDK Python do Microsoft Agent Framework (agent-framework-azure-ai). Use ao criar agentes persistentes com AzureAIAgentsProvider, usando ferramentas hospedadas (interpretador de código, pesquisa de arquivos, pesquisa na web), integrando servidores MCP, gerenciando threads de conversa ou implementando respostas em streaming. Abrange ferramentas de função, saídas estruturadas e agentes com múltiplas ferramentas.
development
airunway-aks-setup
microsoft
Configure o AI Runway no AKS — do cluster vazio ao modelo em execução. Abrange verificação do cluster, instalação do controlador, avaliação de GPU, configuração do provedor e primeira implantação. QUANDO: "configurar AI Runway", "integrar cluster AKS", "instalar AI Runway", "configuração do airunway", "implantar modelo no AKS", "inferência GPU no AKS", "configuração KAITO no AKS", "executar LLM no AKS", "vLLM no AKS", "configurar serviço de modelo no AKS", "controlador AI Runway".
devops
appinsights-instrumentation
microsoft
Orientação para instrumentar aplicações web com Azure Application Insights. Fornece padrões de telemetria, configuração de SDK e referências de configuração. QUANDO: como instrumentar o app, SDK do App Insights, padrões de telemetria, o que é App Insights, orientação sobre Application Insights, exemplos de instrumentação, melhores práticas de APM.
devops
applicationinsights-web-ts
microsoft
Instrumente aplicativos de navegador/web com o SDK JavaScript do Application Insights (@microsoft/applicationinsights-web). Use para Real User Monitoring (RUM) — visualizações de página, cliques, dependências AJAX/fetch, exceções, eventos personalizados e rastreamentos de agentes GenAI no lado do navegador correlacionados a rastreamentos OpenTelemetry no backend. Abrange o Script de Carregamento do SDK e a configuração via npm, extensões de frameworks (React, React Native, Angular), Click Analytics, inicializadores de telemetria e convenções semânticas GenAI do OTel para spans de agente/ferramenta/modelo emitidos pelo navegador.
devops
azure-ai-anomalydetector-java
microsoft
Crie aplicativos de detecção de anomalias com o SDK do Azure AI Anomaly Detector para Java. Use ao implementar detecção de anomalias univariada/multivariada, análise de séries temporais ou monitoramento com IA.
development
azure-ai-language-conversations-py
microsoft
Implemente o reconhecimento de linguagem conversacional (CLU) usando o SDK Python azure-ai-language-conversations. Use ao trabalhar com ConversationAnalysisClient para analisar intenção e entidades de conversas, criar recursos de NLP ou integrar o reconhecimento de linguagem em aplicativos.
development
azure-ai-ml-py
microsoft
SDK v2 do Azure Machine Learning para Python. Use para workspaces de ML, jobs, modelos, conjuntos de dados, computação e pipelines. Gatilhos: "azure-ai-ml", "MLClient", "workspace", "registro de modelos", "jobs de treinamento", "conjuntos de dados".
development