Expert knowledge for Azure Translator development including troubleshooting, best practices, decision making, limits & quotas, security, configuration, and integrations & coding patterns. Use when using Translator text/document APIs, containers, Custom Translator models, glossaries, or secure auth/networking, and other Azure Translator related development tasks. Not for Azure AI Language (use azure-language-service), Azure AI Speech (use azure-speech), Azure AI Immersive Reader (use azure-immersive-reader), Azure AI Document Intelligence (use azure-document-intelligence).
npx skills add https://github.com/MicrosoftDocs/Agent-Skills --skill azure-translator
This skill provides expert guidance for Azure Translator. Covers troubleshooting, best practices, decision making, limits & quotas, security, configuration, and integrations & coding patterns. It combines local quick-reference content with remote documentation fetching capabilities.
> IMPORTANT for Agent: Use the Category Index below to locate relevant sections. For categories with line ranges (e.g., L35-L120), use read_file with the specified lines. For categories with file links (e.g., security.md), use read_file on the linked reference file
> IMPORTANT for Agent: If metadata.generated_at is more than 3 months old, suggest the user pull the latest version from the repository. If mcp_microsoftdocs tools are not available, suggest the user install it: Installation Guide
This skill requires network access to fetch documentation content:
mcp_microsoftdocs:microsoft_docs_fetch with query string from=learn-agent-skill. Returns Markdown.fetch_webpage with query string from=learn-agent-skill&accept=text/markdown. Returns Markdown.| Category | Lines | Description |
|----------|-------|-------------|
| Troubleshooting | L35-L42 | Diagnosing and fixing Azure Translator errors: container startup/runtime issues, usage/FAQ problems, known service bugs, and interpreting HTTP status/error codes for troubleshooting. |
| Best Practices | L43-L51 | Best practices for preparing training data, managing glossaries, and building reliable end-to-end workflows for Custom Translator and batch/document translation in Azure Translator. |
| Decision Making | L52-L60 | Guidance on choosing custom vs baseline models, planning upgrades, selecting Document Translation infrastructure, and migrating apps between Translator API versions. |
| Limits & Quotas | L61-L67 | Language/feature and locale support matrices, plus usage limits and quotas for Azure Translator text, document translation, and Translator Pro. |
| Security | L68-L79 | Configuring secure access to Azure Translator: auth (keys, Entra ID, SAS, managed identities), network controls (VNets, firewalls, Foundry), and encryption with customer-managed keys. |
| Configuration | L80-L104 | Configuring Azure Translator and Custom Translator: containers, resources, APIs, parameters, filters, tagging, dictionaries, alignment, monitoring, and sovereign cloud setup. |
| Integrations & Coding Patterns | L105-L142 | Implementing Translator REST/SDK integrations for text and document translation, including containers, async jobs, status APIs, supported formats, glossaries, and custom/adaptive models. |
| Topic | URL |
|-------|-----|
| Resolve common Azure Translator container issues | https://learn.microsoft.com/en-us/azure/ai-services/translator/containers/faq |
| Resolve common Azure Translator usage issues (FAQ) | https://learn.microsoft.com/en-us/azure/ai-services/translator/faq |
| Diagnose and mitigate known issues in Azure Translator | https://learn.microsoft.com/en-us/azure/ai-services/translator/reference/known-issues |
| Interpret Azure Translator HTTP status and error codes | https://learn.microsoft.com/en-us/azure/ai-services/translator/text-translation/reference/status-response-codes |
| Topic | URL |
|-------|-----|
| Prepare and filter training data for Custom Translator | https://learn.microsoft.com/en-us/azure/ai-services/translator/custom-translator/concepts/data-filtering |
| Prepare and upload Custom Translator training documents | https://learn.microsoft.com/en-us/azure/ai-services/translator/custom-translator/how-to/create-manage-training-documents |
| Train Custom Translator models with proper datasets | https://learn.microsoft.com/en-us/azure/ai-services/translator/custom-translator/how-to/train-custom-model |
| Create and apply glossaries in Document translation | https://learn.microsoft.com/en-us/azure/ai-services/translator/document-translation/how-to-guides/create-use-glossaries |
| Implement reliable end-to-end batch document translation workflow | https://learn.microsoft.com/en-us/azure/ai-services/translator/document-translation/latest/end-to-end-batch-workflow |
| Topic | URL |
|-------|-----|
| Evaluate and compare Custom vs baseline Translator models | https://learn.microsoft.com/en-us/azure/ai-services/translator/custom-translator/how-to/test-your-model |
| Plan and execute Custom Translator platform upgrade | https://learn.microsoft.com/en-us/azure/ai-services/translator/custom-translator/platform-upgrade |
| Choose and set up infrastructure for Document Translation API | https://learn.microsoft.com/en-us/azure/ai-services/translator/document-translation/latest/prerequisites |
| Decide and migrate from Translator v3.0 to 2026-06-06 | https://learn.microsoft.com/en-us/azure/ai-services/translator/text-translation/how-to/migrate-to-2026-06-06 |
| Migrate applications from Translator V2 to V3 | https://learn.microsoft.com/en-us/azure/ai-services/translator/text-translation/how-to/migrate-to-v3 |
| Topic | URL |
|-------|-----|
| Check language and feature support in Azure Translator | https://learn.microsoft.com/en-us/azure/ai-services/translator/language-support |
| Service limits for Azure Translator text and documents | https://learn.microsoft.com/en-us/azure/ai-services/translator/service-limits |
| Check language and locale support in Translator Pro | https://learn.microsoft.com/en-us/azure/ai-services/translator/solutions/translator-pro/language-support |
| Topic | URL |
|-------|-----|
| Configure customer-managed keys for Azure Translator data at rest | https://learn.microsoft.com/en-us/azure/ai-services/translator/custom-translator/concepts/encrypt-data-at-rest |
| Configure VNet service endpoints for Custom Translator | https://learn.microsoft.com/en-us/azure/ai-services/translator/custom-translator/how-to/enable-vnet-service-endpoint |
| Create SAS tokens for Document translation storage access | https://learn.microsoft.com/en-us/azure/ai-services/translator/document-translation/how-to-guides/create-sas-tokens |
| Configure managed identities for Document translation storage access | https://learn.microsoft.com/en-us/azure/ai-services/translator/document-translation/how-to-guides/create-use-managed-identities |
| Configure Microsoft Entra ID auth for Azure Translator | https://learn.microsoft.com/en-us/azure/ai-services/translator/how-to/microsoft-entra-id-auth |
| Enable Azure Translator access behind firewalls | https://learn.microsoft.com/en-us/azure/ai-services/translator/how-to/use-firewalls |
| Secure Azure Translator deployments in Foundry Tools | https://learn.microsoft.com/en-us/azure/ai-services/translator/secure-deployment |
| Authenticate and authorize requests to Azure Translator | https://learn.microsoft.com/en-us/azure/ai-services/translator/text-translation/reference/authentication |
| Topic | URL |
|-------|-----|
| Configure Azure Translator container runtime settings | https://learn.microsoft.com/en-us/azure/ai-services/translator/containers/configuration |
| Install and run Azure Translator Docker container | https://learn.microsoft.com/en-us/azure/ai-services/translator/containers/install-run |
| Apply document formats and naming rules in Custom Translator | https://learn.microsoft.com/en-us/azure/ai-services/translator/custom-translator/concepts/document-formats-naming-convention |
| Configure and manage Custom Translator projects | https://learn.microsoft.com/en-us/azure/ai-services/translator/custom-translator/how-to/create-manage-project |
| Configure and manage Custom Translator workspaces | https://learn.microsoft.com/en-us/azure/ai-services/translator/custom-translator/how-to/create-manage-workspace |
| Publish Custom Translator models to regions | https://learn.microsoft.com/en-us/azure/ai-services/translator/custom-translator/how-to/publish-model |
| Create and configure Azure Translator resources | https://learn.microsoft.com/en-us/azure/ai-services/translator/how-to/create-translator-resource |
| Use Azure Translator in sovereign cloud environments | https://learn.microsoft.com/en-us/azure/ai-services/translator/reference/sovereign-clouds |
| Use Translator 2026-06-06 translate API parameters | https://learn.microsoft.com/en-us/azure/ai-services/translator/text-translation/2026-06-06/translate-api |
| Tag content to prevent translation in Azure Translator | https://learn.microsoft.com/en-us/azure/ai-services/translator/text-translation/how-to/prevent-translation |
| Use dynamic dictionary markup in Azure Translator | https://learn.microsoft.com/en-us/azure/ai-services/translator/text-translation/how-to/use-dynamic-dictionary |
| Configure profanity filtering in Azure Translator | https://learn.microsoft.com/en-us/azure/ai-services/translator/text-translation/how-to/use-profanity-filtering |
| Enable word alignment in Azure Translator responses | https://learn.microsoft.com/en-us/azure/ai-services/translator/text-translation/how-to/word-alignment |
| Monitor Azure Translator usage with Azure Monitor metrics | https://learn.microsoft.com/en-us/azure/ai-services/translator/text-translation/reference/metrics |
| Use Translator V3 BreakSentence method for sentence boundaries | https://learn.microsoft.com/en-us/azure/ai-services/translator/text-translation/reference/v3/break-sentence |
| Call Translator V3 detect method to identify language | https://learn.microsoft.com/en-us/azure/ai-services/translator/text-translation/reference/v3/detect |
| Use Translator V3 dictionary examples for contextual usage | https://learn.microsoft.com/en-us/azure/ai-services/translator/text-translation/reference/v3/dictionary-examples |
| Use Translator V3 dictionary lookup for alternative translations | https://learn.microsoft.com/en-us/azure/ai-services/translator/text-translation/reference/v3/dictionary-lookup |
| Configure and call Translator V3.0 JSON Web API | https://learn.microsoft.com/en-us/azure/ai-services/translator/text-translation/reference/v3/reference |
| Use Translator V3 translate method parameters | https://learn.microsoft.com/en-us/azure/ai-services/translator/text-translation/reference/v3/translate |
| Configure script transliteration with Translator V3 | https://learn.microsoft.com/en-us/azure/ai-services/translator/text-translation/reference/v3/transliterate |
| Topic | URL |
|-------|-----|
| Deploy user-managed glossary in Translator containers | https://learn.microsoft.com/en-us/azure/ai-services/translator/containers/deploy-user-managed-glossary |
| Call Translator container document translation API | https://learn.microsoft.com/en-us/azure/ai-services/translator/containers/translate-document-parameters |
| Use Translator container text translation parameters | https://learn.microsoft.com/en-us/azure/ai-services/translator/containers/translate-text-parameters |
| Use Translator container transliteration API parameters | https://learn.microsoft.com/en-us/azure/ai-services/translator/containers/transliterate-text-parameters |
| Call Translator API using a Custom Translator model | https://learn.microsoft.com/en-us/azure/ai-services/translator/custom-translator/how-to/translate-with-custom-model |
| Use asynchronous batch document translation with Azure | https://learn.microsoft.com/en-us/azure/ai-services/translator/document-translation/latest/quickstarts/asynchronous |
| Integrate synchronous single-file document translation API | https://learn.microsoft.com/en-us/azure/ai-services/translator/document-translation/latest/quickstarts/synchronous |
| Cancel an asynchronous document translation job | https://learn.microsoft.com/en-us/azure/ai-services/translator/document-translation/latest/rest-api/cancel-translation |
| Retrieve status for all documents in a job | https://learn.microsoft.com/en-us/azure/ai-services/translator/document-translation/latest/rest-api/get-status-all-documents |
| List all document translation jobs via REST | https://learn.microsoft.com/en-us/azure/ai-services/translator/document-translation/latest/rest-api/get-status-all-translations |
| Get status for a single translated document | https://learn.microsoft.com/en-us/azure/ai-services/translator/document-translation/latest/rest-api/get-status-specific-document |
| Get status of a specific translation job | https://learn.microsoft.com/en-us/azure/ai-services/translator/document-translation/latest/rest-api/get-status-specific-translation |
| Query supported document formats for translation | https://learn.microsoft.com/en-us/azure/ai-services/translator/document-translation/latest/rest-api/get-supported-document-formats |
| Query supported glossary formats for translation | https://learn.microsoft.com/en-us/azure/ai-services/translator/document-translation/latest/rest-api/get-supported-glossary-formats |
| Call Azure Document Translation asynchronous REST API | https://learn.microsoft.com/en-us/azure/ai-services/translator/document-translation/latest/rest-api/translate-asynchronous |
| Call synchronous document translation REST endpoint | https://learn.microsoft.com/en-us/azure/ai-services/translator/document-translation/latest/rest-api/translate-synchronous |
| Cancel a batch document translation job | https://learn.microsoft.com/en-us/azure/ai-services/translator/document-translation/reference/cancel-translation |
| Use Get document status in Translator Document Translation | https://learn.microsoft.com/en-us/azure/ai-services/translator/document-translation/reference/get-document-status |
| Get status for all documents in a translation job | https://learn.microsoft.com/en-us/azure/ai-services/translator/document-translation/reference/get-documents-status |
| Retrieve supported document formats via REST | https://learn.microsoft.com/en-us/azure/ai-services/translator/document-translation/reference/get-supported-document-formats |
| Retrieve supported glossary formats via REST | https://learn.microsoft.com/en-us/azure/ai-services/translator/document-translation/reference/get-supported-glossary-formats |
| Get status of a document translation request | https://learn.microsoft.com/en-us/azure/ai-services/translator/document-translation/reference/get-translation-status |
| List translation jobs and statuses via REST | https://learn.microsoft.com/en-us/azure/ai-services/translator/document-translation/reference/get-translations-status |
| Use Document Translation REST API operations | https://learn.microsoft.com/en-us/azure/ai-services/translator/document-translation/reference/rest-api-guide |
| Start batch document translation via REST | https://learn.microsoft.com/en-us/azure/ai-services/translator/document-translation/reference/start-batch-translation |
| Use synchronous text translation REST API for documents | https://learn.microsoft.com/en-us/azure/ai-services/translator/document-translation/reference/translate-document |
| Integrate with adaptive custom translation (AdaptCT) API | https://learn.microsoft.com/en-us/azure/ai-services/translator/foundry/adaptive-custom-translation |
| Build document translation flows with Translator connector | https://learn.microsoft.com/en-us/azure/ai-services/translator/solutions/connector/document-translation-flow |
| Configure text translation flows using Translator connector | https://learn.microsoft.com/en-us/azure/ai-services/translator/solutions/connector/text-translator-flow |
| Use Azure Translator text translation REST APIs | https://learn.microsoft.com/en-us/azure/ai-services/translator/text-translation/2026-06-06/rest-api-guide |
| Call Azure Translator transliterate REST method | https://learn.microsoft.com/en-us/azure/ai-services/translator/text-translation/2026-06-06/transliterate-api |
| Use Azure Translator neural dictionary in apps | https://learn.microsoft.com/en-us/azure/ai-services/translator/text-translation/how-to/use-neural-dictionary |
| Use Azure Translator REST APIs with code examples | https://learn.microsoft.com/en-us/azure/ai-services/translator/text-translation/how-to/use-rest-api |
| Integrate Azure Translator via SDK client libraries | https://learn.microsoft.com/en-us/azure/ai-services/translator/text-translation/quickstart/client-library-sdk |
| Call Azure Translator REST API programmatically | https://learn.microsoft.com/en-us/azure/ai-services/translator/text-translation/quickstart/rest-api |
Assess Kubernetes workloads and cluster configuration for AKS Automatic compatibility. Identifies incompatibilities, generates fixes, and guides migration from AKS Standard to AKS Automatic. WHEN: migrate to AKS Automatic, check AKS Automatic readiness, validate manifests for Automatic, assess cluster for Automatic compatibility, fix deployment for Automatic compatibility, identify AKS Automatic migration blockers, is my cluster ready for AKS Automatic.
Discovers available Azure OpenAI model capacity across regions and projects. Analyzes quota limits, compares availability, and recommends optimal deployment locations based on capacity requirements. USE FOR: find capacity, check quota, where can I deploy, capacity discovery, best region for capacity, multi-project capacity search, quota analysis, model availability, region comparison, check TPM availability. DO NOT USE FOR: actual deployment (hand off to preset or customize after discovery), quota increase requests (direct user to Azure Portal), listing existing deployments.
Interactive guided deployment flow for Azure OpenAI models with full customization control. Step-by-step selection of model version, SKU (GlobalStandard/Standard/ProvisionedManaged), capacity, RAI policy (content filter), and advanced options (dynamic quota, priority processing, spillover). USE FOR: custom deployment, customize model deployment, choose version, select SKU, set capacity, configure content filter, RAI policy, deployment options, detailed deployment, advanced deployment, PTU deployment, provisioned throughput. DO NOT USE FOR: quick deployment to optimal region (use preset).
Unified Azure OpenAI model deployment skill with intelligent intent-based routing. Handles quick preset deployments, fully customized deployments (version/SKU/capacity/RAI policy), and capacity discovery across regions and projects. USE FOR: deploy model, deploy gpt, create deployment, model deployment, deploy openai model, set up model, provision model, find capacity, check model availability, where can I deploy, best region for model, capacity analysis. DO NOT USE FOR: listing existing deployments (use foundry_models_deployments_list MCP tool), deleting deployments, agent creation (use agent/create), project creation (use project/create).
Intelligently deploys Azure OpenAI models to optimal regions by analyzing capacity across all available regions. Automatically checks current region first and shows alternatives if needed. USE FOR: quick deployment, optimal region, best region, automatic region selection, fast setup, multi-region capacity check, high availability deployment, deploy to best location. DO NOT USE FOR: custom SKU selection (use customize), specific version selection (use customize), custom capacity configuration (use customize), PTU deployments (use customize).
This skill should be used when working with LaminDB, an open-source data framework for biology that makes data queryable, traceable, reproducible, and FAIR. Use when managing biological datasets (scRNA-seq, spatial, flow cytometry, etc.), tracking computational workflows, curating and validating data with biological ontologies, building data lakehouses, or ensuring data lineage and reproducibility in biological research. Covers data management, annotation, ontologies (genes, cell types, diseases, tissues), schema validation, integrations with workflow managers (Nextflow, Snakemake) and MLOps platforms (W&B, MLflow), and deployment strategies.
Latch platform for bioinformatics workflows. Build pipelines with Latch SDK, @workflow/@task decorators, deploy serverless workflows, LatchFile/LatchDir, Nextflow/Snakemake integration.
Run Python code in the cloud with serverless containers, GPUs, and autoscaling. Use when deploying ML models, running batch processing jobs, scheduling compute-intensive tasks, or serving APIs that require GPU acceleration or dynamic scaling.
Take microsoftdocs/azure-translator from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.