azure-language-service
Expert knowledge for Azure AI Language development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when building CLU, custom NER, text classification, CQA, sentiment, summarization, or health workloads, and other Azure AI Language related development tasks. Not for Azure AI Search (use azure-cognitive-search), Azure AI Speech (use azure-speech), Azure Translator (use azure-translator), Azure AI Bot Service (use azure-bot-service).
npx skills add majiayu000/claude-skill-registry --skill azure-language-service --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
What it does
Provides expert guidance for Azure AI Language, including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Designed for tasks like CLU, custom NER, text classification, CQA, sentiment, summarization, or health workloads, and other Azure AI Language related development tasks.
How it works
The skill instructs the agent to use a Category Index to locate relevant sections. It uses read_file on either a referenced file (e.g., security.md) or on specified line ranges (e.g., L35-L120). It requires network access and leverages microsoft_docs_fetch or fetch_webpage to retrieve documentation content. The agent should fetch documentation content from remote Microsoft Docs and present guidance on the targeted topics.
When to use it
Use when building or troubleshooting Azure AI Language projects (CLU, custom NER, text classification, CQA, sentiment, summarization, health workloads). Follow triggers from the Category Index to select relevant sections.
What it can touch
Requires network access to fetch documentation content via: mcp_microsoftdocs:microsoft_docs_fetch or fetch_webpage. It reads documentation files such as security.md and other linked references.
Caveats
Requires network access. Uses remote documentation via mcp_microsoftdocs:microsoft_docs_fetch or fetch_webpage. No outcomes beyond guidance from fetched docs are promised. License: MIT.
# 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`), use `read_file` with the specified lines. For categories with file links (e.g., `[security.md](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](https://github.com/MicrosoftDocs/mcp/blob/main/README.md) This skill requires **network access** to fetch documentation content: - **Preferred**: Use `mcp_microsoftdocs:microsoft_docs_fetch` with query string `from=learn-agent-skill`. Returns Markdown. - **Fallback**: Use `fetch_we
- How to Use This Skill
- Category Index
- Troubleshooting
- Best Practices
- Decision Making
- Architecture & Design Patterns
- Limits & Quotas
- Security
- Configuration
- Integrations & Coding Patterns
- Deployment
What does the azure-language-service skill do?
Expert knowledge for Azure AI Language development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when building CLU, custom NER, text classification, CQA, sentiment, summarization, or health workloads, and other Azure AI Language related development tasks. Not for Azure AI Search (use azure-cognitive-search), Azure AI Speech (use azure-speech), Azure Translator (use azure-translator), Azure AI Bot Service (use azure-bot-service).
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill azure-language-service --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.