azure-digital-twins
SolidExpert knowledge for Azure Digital Twins development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when modeling with DTDL, querying twin graphs, integrating IoT Hub/Functions, or migrating control plane APIs, and other Azure Digital Twins related development tasks. Not for Azure IoT Hub (use azure-iot-hub), Azure IoT Central (use azure-iot-central), Azure IoT Edge (use azure-iot-edge), Azure IoT Operations (use azure-iot-operations).
Install
Quality Score: 92/100
Skill Content
Details
- Author
- MicrosoftDocs
- Repository
- MicrosoftDocs/Agent-Skills
- Created
- 4 months ago
- Last Updated
- 3 days ago
- Language
- N/A
- License
- CC-BY-4.0
Integrates with
Similar Skills
Semantically similar based on skill content — not just same category
azure-iot-central
Expert knowledge for Azure IoT Central development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when designing device templates, data export, IoT Edge gateways, REST/CLI automation, or device bridge pipelines, and other Azure IoT Central related development tasks. Not for Azure IoT Hub (use azure-iot-hub), Azure IoT Edge (use azure-iot-edge), Azure IoT (use azure-iot), Azure Digital Twins (use azure-digital-twins).
azure-sql-database
Expert knowledge for Azure SQL Database development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when choosing DTU/vCore/serverless/Hyperscale, configuring geo‑replication/Data Sync, or securing with Entra/TDE, and other Azure SQL Database related development tasks. Not for Azure SQL Managed Instance (use azure-sql-managed-instance), SQL Server on Azure Virtual Machines (use azure-sql-virtual-machines), Azure Cosmos DB (use azure-cosmos-db), Azure Database for PostgreSQL (use azure-database-postgresql).
azure-machine-learning
Expert knowledge for Azure Machine Learning development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using Azure ML workspaces, AutoML, Prompt Flow, online/batch endpoints, or SDK/CLI v2 deployments, and other Azure Machine Learning related development tasks. Not for Azure Databricks (use azure-databricks), Azure Synapse Analytics (use azure-synapse-analytics), Azure Data Science Virtual Machines (use azure-data-science-vm), Azure HDInsight (use azure-hdinsight).