Azure Language Service
- 102 installs
- 682 repo stars
- Updated August 3, 2026
- microsoftdocs/agent-skills
Helps with ai & agent building tasks during AI-assisted development.
About
azure-language-service is a Claude Code skill for ai & agent building. It helps solo builders move faster with AI-assisted coding.
- azure-language-service
- AI & Agent Building
- AI-coding skill
Azure Language Service by the numbers
- 102 all-time installs (skills.sh)
- +11 installs in the week ending Aug 4, 2026 (Skillselion tracking)
- Ranked #4,307 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
- Data as of Aug 5, 2026 (Skillselion catalog sync)
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| Installs | 102 |
|---|---|
| repo stars | ★ 682 |
| Last updated | August 3, 2026 |
| Repository | microsoftdocs/agent-skills ↗ |
What it does
Helps with ai & agent building tasks during AI-assisted development.
Files
Azure AI Language Skill
This skill provides expert guidance for Azure AI Language. Covers troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. It combines local quick-reference content with remote documentation fetching capabilities.
How to Use This Skill
IMPORTANT for Agent: Use the Category Index below to locate relevant sections. For categories with line ranges (e.g.,L35-L120), useread_filewith the specified lines. For categories with file links (e.g.,[security.md](security.md)), useread_fileon the linked reference file
IMPORTANT for Agent: Ifmetadata.generated_atis more than 3 months old, suggest the user pull the latest version from the repository. Ifmcp_microsoftdocstools are not available, suggest the user install it: Installation Guide
This skill requires network access to fetch documentation content:
- Preferred: Use
mcp_microsoftdocs:microsoft_docs_fetchwith query stringfrom=learn-agent-skill. Returns Markdown. - Fallback: Use
fetch_webpagewith query stringfrom=learn-agent-skill&accept=text/markdown. Returns Markdown.
Category Index
| Category | Lines | Description |
|---|---|---|
| Troubleshooting | L37-L42 | Diagnosing and fixing common issues in custom text classification and custom question answering, including model performance, configuration, and runtime/response problems. |
| Best Practices | L43-L59 | Best practices for designing, labeling, and evaluating CLU, custom NER, text classification, and CQA projects, including multilingual handling, emojis, schemas, and autolabeling. |
| Decision Making | L60-L68 | Guidance on choosing regions and resources, lifecycle policies, and migration paths from LUIS, QnA Maker, Text Analytics, and Language Studio to Azure Language and Microsoft Foundry |
| Architecture & Design Patterns | L69-L75 | Architectural guidance for CLU and custom text classification: choosing CLU vs orchestration workflows, and designing regional backup, redundancy, and failover strategies. |
| Limits & Quotas | L76-L95 | Limits, quotas, and language/region support for Azure AI Language features (CLU, NER, PII, QnA, etc.), including data sizes, throughput, containers, and model lifecycles. |
| Security | L96-L106 | Security, encryption, and access control for Azure AI Language: RBAC, managed identities, SAS, CMK/data-at-rest, network isolation, Private Link, and CQA-specific security setup. |
| Configuration | L107-L131 | Configuring Azure AI Language/CLU/NER/CQA projects and containers, including data formats, resources, Docker/on-prem setups, metrics, confidence scores, PII redaction, and sentiment/summarization. |
| Integrations & Coding Patterns | L132-L163 | Implementing Azure AI Language features via REST/SDKs: CLU, custom NER/classification, CQA, sentiment, summarization, health, entity linking, and integrating with bots/Power Automate. |
| Deployment | L164-L173 | How to deploy and run Azure AI Language models (custom classification, NER, QnA, key phrases, language detection) across regions, containers, AKS, and migrate projects/resources. |
Troubleshooting
| Topic | URL |
|---|---|
| Resolve common issues in custom text classification | https://learn.microsoft.com/en-us/azure/ai-services/language-service/custom-text-classification/faq |
| Diagnose and resolve custom question answering issues | https://learn.microsoft.com/en-us/azure/ai-services/language-service/question-answering/how-to/troubleshooting |
Best Practices
| Topic | URL |
|---|---|
| Handle multilingual and emoji offsets in Language | https://learn.microsoft.com/en-us/azure/ai-services/language-service/concepts/multilingual-emoji-support |
| Apply CLU conversational design best practices | https://learn.microsoft.com/en-us/azure/ai-services/language-service/conversational-language-understanding/concepts/best-practices |
| Implement multilingual CLU projects effectively | https://learn.microsoft.com/en-us/azure/ai-services/language-service/conversational-language-understanding/concepts/multiple-languages |
| Design effective CLU project schemas | https://learn.microsoft.com/en-us/azure/ai-services/language-service/conversational-language-understanding/how-to/build-schema |
| Tag and label utterances for CLU training | https://learn.microsoft.com/en-us/azure/ai-services/language-service/conversational-language-understanding/how-to/tag-utterances |
| Interpret and stabilize CLU model evaluations | https://learn.microsoft.com/en-us/azure/ai-services/language-service/conversational-language-understanding/how-to/view-model-evaluation |
| Prepare data and design schemas for custom NER | https://learn.microsoft.com/en-us/azure/ai-services/language-service/custom-named-entity-recognition/how-to/design-schema |
| Label data effectively for custom NER training | https://learn.microsoft.com/en-us/azure/ai-services/language-service/custom-named-entity-recognition/how-to/tag-data |
| Use autolabeling to accelerate custom NER annotation | https://learn.microsoft.com/en-us/azure/ai-services/language-service/custom-named-entity-recognition/how-to/use-autolabeling |
| Prepare data and design schemas for text classification | https://learn.microsoft.com/en-us/azure/ai-services/language-service/custom-text-classification/how-to/design-schema |
| Label data effectively for custom text classification | https://learn.microsoft.com/en-us/azure/ai-services/language-service/custom-text-classification/how-to/tag-data |
| Implement best practices for CQA project quality | https://learn.microsoft.com/en-us/azure/ai-services/language-service/question-answering/concepts/best-practices |
| Apply project authoring best practices in CQA | https://learn.microsoft.com/en-us/azure/ai-services/language-service/question-answering/how-to/best-practices |
Decision Making
| Topic | URL |
|---|---|
| Choose Azure regions for Language service features | https://learn.microsoft.com/en-us/azure/ai-services/language-service/concepts/regional-support |
| Migrate Azure Language Studio projects to Microsoft Foundry | https://learn.microsoft.com/en-us/azure/ai-services/language-service/migration-studio-to-foundry |
| Choose and manage Azure resources for CQA | https://learn.microsoft.com/en-us/azure/ai-services/language-service/question-answering/concepts/azure-resources |
| Decide migration from LUIS and QnA Maker to Azure Language | https://learn.microsoft.com/en-us/azure/ai-services/language-service/reference/migrate |
| Migrate Text Analytics apps to Azure Language API | https://learn.microsoft.com/en-us/azure/ai-services/language-service/reference/migrate-language-service-latest |
Architecture & Design Patterns
| Topic | URL |
|---|---|
| Choose CLU vs orchestration workflow architecture | https://learn.microsoft.com/en-us/azure/ai-services/language-service/conversational-language-understanding/concepts/app-architecture |
| Design CLU regional backup and failover | https://learn.microsoft.com/en-us/azure/ai-services/language-service/conversational-language-understanding/how-to/fail-over |
| Design regional fail-over for custom text classification solutions | https://learn.microsoft.com/en-us/azure/ai-services/language-service/custom-text-classification/fail-over |
Limits & Quotas
| Topic | URL |
|---|---|
| Data size and rate limits for Azure Language features | https://learn.microsoft.com/en-us/azure/ai-services/language-service/concepts/data-limits |
| Understand lifecycle timelines for Azure Language models | https://learn.microsoft.com/en-us/azure/ai-services/language-service/concepts/model-lifecycle |
| Train and manage CLU model jobs and limits | https://learn.microsoft.com/en-us/azure/ai-services/language-service/conversational-language-understanding/how-to/train-model |
| Apply CLU Docker container request limits | https://learn.microsoft.com/en-us/azure/ai-services/language-service/conversational-language-understanding/how-to/use-containers |
| Apply CLU data, region, and throughput limits | https://learn.microsoft.com/en-us/azure/ai-services/language-service/conversational-language-understanding/service-limits |
| Check language and region support for custom NER | https://learn.microsoft.com/en-us/azure/ai-services/language-service/custom-named-entity-recognition/language-support |
| Language support matrix for custom text classification | https://learn.microsoft.com/en-us/azure/ai-services/language-service/custom-text-classification/language-support |
| Review custom text classification data and rate limits | https://learn.microsoft.com/en-us/azure/ai-services/language-service/custom-text-classification/service-limits |
| Check language support for entity linking API | https://learn.microsoft.com/en-us/azure/ai-services/language-service/entity-linking/language-support |
| Check language support for key phrase extraction | https://learn.microsoft.com/en-us/azure/ai-services/language-service/key-phrase-extraction/language-support |
| Review language detection supported languages and codes | https://learn.microsoft.com/en-us/azure/ai-services/language-service/language-detection/language-support |
| Review language support for Named Entity Recognition | https://learn.microsoft.com/en-us/azure/ai-services/language-service/named-entity-recognition/language-support |
| Review orchestration workflow data and throughput limits | https://learn.microsoft.com/en-us/azure/ai-services/language-service/orchestration-workflow/service-limits |
| Apply PII container per-call character and document limits | https://learn.microsoft.com/en-us/azure/ai-services/language-service/personally-identifiable-information/how-to/use-containers |
| Check language support for Azure PII detection | https://learn.microsoft.com/en-us/azure/ai-services/language-service/personally-identifiable-information/language-support |
| Custom question answering limits and boundaries | https://learn.microsoft.com/en-us/azure/ai-services/language-service/question-answering/concepts/limits |
Security
| Topic | URL |
|---|---|
| Understand Language service data-at-rest encryption | https://learn.microsoft.com/en-us/azure/ai-services/language-service/concepts/encryption-data-at-rest |
| Apply Azure RBAC to Azure Language resources | https://learn.microsoft.com/en-us/azure/ai-services/language-service/concepts/role-based-access-control |
| Use managed identities for Language Blob access | https://learn.microsoft.com/en-us/azure/ai-services/language-service/native-document-support/managed-identities |
| Create SAS tokens for Language Blob access | https://learn.microsoft.com/en-us/azure/ai-services/language-service/native-document-support/shared-access-signatures |
| Configure Azure resources and permissions for CQA fine-tuning | https://learn.microsoft.com/en-us/azure/ai-services/language-service/question-answering/how-to/configure-azure-resources |
| Configure data-at-rest encryption and CMK for CQA | https://learn.microsoft.com/en-us/azure/ai-services/language-service/question-answering/how-to/encrypt-data-at-rest |
| Configure network isolation and Private Link for CQA | https://learn.microsoft.com/en-us/azure/ai-services/language-service/question-answering/how-to/network-isolation |
Configuration
| Topic | URL |
|---|---|
| Configure Azure resources for CLU fine-tune models | https://learn.microsoft.com/en-us/azure/ai-services/language-service/concepts/configure-azure-resources |
| Configure Azure Language service containers | https://learn.microsoft.com/en-us/azure/ai-services/language-service/concepts/configure-containers |
| Format data correctly for CLU projects | https://learn.microsoft.com/en-us/azure/ai-services/language-service/conversational-language-understanding/concepts/data-formats |
| Configure and use CLU None intent | https://learn.microsoft.com/en-us/azure/ai-services/language-service/conversational-language-understanding/concepts/none-intent |
| Use CLU prebuilt entity components | https://learn.microsoft.com/en-us/azure/ai-services/language-service/conversational-language-understanding/prebuilt-component-reference |
| Create custom NER projects and configure Azure resources | https://learn.microsoft.com/en-us/azure/ai-services/language-service/custom-named-entity-recognition/how-to/create-project |
| Configure and run Custom NER Docker containers on-premises | https://learn.microsoft.com/en-us/azure/ai-services/language-service/custom-named-entity-recognition/how-to/use-containers |
| Use required data formats for custom text classification | https://learn.microsoft.com/en-us/azure/ai-services/language-service/custom-text-classification/concepts/data-formats |
| Configure and run training jobs for text classification models | https://learn.microsoft.com/en-us/azure/ai-services/language-service/custom-text-classification/how-to/train-model |
| View and interpret evaluation metrics for text classification models | https://learn.microsoft.com/en-us/azure/ai-services/language-service/custom-text-classification/how-to/view-model-evaluation |
| Map NER entity types and tags across API versions | https://learn.microsoft.com/en-us/azure/ai-services/language-service/named-entity-recognition/concepts/ga-preview-mapping |
| Configure NER skill parameters and inference options | https://learn.microsoft.com/en-us/azure/ai-services/language-service/named-entity-recognition/how-to/skill-parameters |
| Configure native document PII redaction with Azure Language | https://learn.microsoft.com/en-us/azure/ai-services/language-service/personally-identifiable-information/how-to/redact-document-pii |
| Understand and configure confidence scores in CQA | https://learn.microsoft.com/en-us/azure/ai-services/language-service/question-answering/concepts/confidence-score |
| Enable diagnostics and run analytics for CQA projects | https://learn.microsoft.com/en-us/azure/ai-services/language-service/question-answering/how-to/analytics |
| Add and configure chitchat personas in CQA | https://learn.microsoft.com/en-us/azure/ai-services/language-service/question-answering/how-to/chit-chat |
| Use supported markdown formats in CQA answers | https://learn.microsoft.com/en-us/azure/ai-services/language-service/question-answering/reference/markdown-format |
| Run Sentiment Analysis Docker containers | https://learn.microsoft.com/en-us/azure/ai-services/language-service/sentiment-opinion-mining/how-to/use-containers |
| Run Summarization Docker containers on-premises | https://learn.microsoft.com/en-us/azure/ai-services/language-service/summarization/how-to/use-containers |
| Configure Text Analytics for health containers | https://learn.microsoft.com/en-us/azure/ai-services/language-service/text-analytics-for-health/how-to/configure-containers |
| Run Text Analytics for health containers | https://learn.microsoft.com/en-us/azure/ai-services/language-service/text-analytics-for-health/how-to/use-containers |
Integrations & Coding Patterns
| Topic | URL |
|---|---|
| Integrate Azure Language SDK and REST APIs | https://learn.microsoft.com/en-us/azure/ai-services/language-service/concepts/developer-guide |
| Use Azure Language features asynchronously | https://learn.microsoft.com/en-us/azure/ai-services/language-service/concepts/use-asynchronously |
| Call CLU prediction APIs and SDKs | https://learn.microsoft.com/en-us/azure/ai-services/language-service/conversational-language-understanding/how-to/call-api |
| Create CLU fine-tuning tasks via Foundry and REST API | https://learn.microsoft.com/en-us/azure/ai-services/language-service/conversational-language-understanding/how-to/create-project |
| Integrate CLU with Bot Framework SDK | https://learn.microsoft.com/en-us/azure/ai-services/language-service/conversational-language-understanding/tutorials/bot-framework |
| Start building custom NER models via Foundry or REST | https://learn.microsoft.com/en-us/azure/ai-services/language-service/custom-named-entity-recognition/quickstart |
| Send prediction requests to custom text classification deployments | https://learn.microsoft.com/en-us/azure/ai-services/language-service/custom-text-classification/how-to/call-api |
| Call the entity linking API with correct parameters | https://learn.microsoft.com/en-us/azure/ai-services/language-service/entity-linking/how-to/call-api |
| Call entity linking via SDKs and REST API | https://learn.microsoft.com/en-us/azure/ai-services/language-service/entity-linking/quickstart |
| Call the key phrase extraction API correctly | https://learn.microsoft.com/en-us/azure/ai-services/language-service/key-phrase-extraction/how-to/call-api |
| Use key phrase extraction via .NET client library | https://learn.microsoft.com/en-us/azure/ai-services/language-service/key-phrase-extraction/quickstart |
| Call language detection API and interpret results | https://learn.microsoft.com/en-us/azure/ai-services/language-service/language-detection/how-to/call-api |
| Implement language detection using SDKs and REST | https://learn.microsoft.com/en-us/azure/ai-services/language-service/language-detection/quickstart |
| Call the NER API to extract named entities | https://learn.microsoft.com/en-us/azure/ai-services/language-service/named-entity-recognition/how-to-call |
| Use the NER client library to extract entities | https://learn.microsoft.com/en-us/azure/ai-services/language-service/named-entity-recognition/quickstart |
| Use Authoring API for custom question answering automation | https://learn.microsoft.com/en-us/azure/ai-services/language-service/question-answering/how-to/authoring |
| Call the prebuilt CQA API for ad-hoc answering | https://learn.microsoft.com/en-us/azure/ai-services/language-service/question-answering/how-to/prebuilt |
| Call Sentiment and Opinion Mining APIs | https://learn.microsoft.com/en-us/azure/ai-services/language-service/sentiment-opinion-mining/how-to/call-api |
| Call Sentiment Analysis via SDK and REST | https://learn.microsoft.com/en-us/azure/ai-services/language-service/sentiment-opinion-mining/quickstart |
| Call conversation summarization API for chats | https://learn.microsoft.com/en-us/azure/ai-services/language-service/summarization/how-to/conversation-summarization |
| Summarize native documents via API | https://learn.microsoft.com/en-us/azure/ai-services/language-service/summarization/how-to/document-summarization |
| Use extractive text summarization API | https://learn.microsoft.com/en-us/azure/ai-services/language-service/summarization/how-to/text-summarization |
| Use Azure Summarization via SDK and REST | https://learn.microsoft.com/en-us/azure/ai-services/language-service/summarization/quickstart |
| Enable FHIR structuring in health API output | https://learn.microsoft.com/en-us/azure/ai-services/language-service/text-analytics-for-health/concepts/fhir |
| Interpret relation extraction JSON output | https://learn.microsoft.com/en-us/azure/ai-services/language-service/text-analytics-for-health/concepts/relation-extraction |
| Call Text Analytics for health API | https://learn.microsoft.com/en-us/azure/ai-services/language-service/text-analytics-for-health/how-to/call-api |
| Call Text Analytics for Health via REST and SDKs | https://learn.microsoft.com/en-us/azure/ai-services/language-service/text-analytics-for-health/quickstart |
| Use Azure Language in Power Automate flows | https://learn.microsoft.com/en-us/azure/ai-services/language-service/tutorials/power-automate |
Deployment
| Topic | URL |
|---|---|
| Deploy custom language projects to multiple regions | https://learn.microsoft.com/en-us/azure/ai-services/language-service/concepts/custom-features/multi-region-deployment |
| Deploy custom text classification models for prediction | https://learn.microsoft.com/en-us/azure/ai-services/language-service/custom-text-classification/how-to/deploy-model |
| Run key phrase extraction in Docker containers on-premises | https://learn.microsoft.com/en-us/azure/ai-services/language-service/key-phrase-extraction/how-to/use-containers |
| Deploy language detection with Docker containers on-premises | https://learn.microsoft.com/en-us/azure/ai-services/language-service/language-detection/how-to/use-containers |
| Deploy NER with Docker containers on-premises | https://learn.microsoft.com/en-us/azure/ai-services/language-service/named-entity-recognition/how-to/use-containers |
| Move custom question answering projects between resources | https://learn.microsoft.com/en-us/azure/ai-services/language-service/question-answering/how-to/migrate-knowledge-base |
| Deploy Language containers to Azure Kubernetes Service | https://learn.microsoft.com/en-us/azure/ai-services/language-service/tutorials/use-kubernetes-service |
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