azure-stream-analytics
Expert knowledge for Azure Stream Analytics development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when building jobs with Event Hubs/Kafka, Cosmos DB/SQL outputs, ML/AML integration, IoT Edge, or Power BI, and other Azure Stream Analytics related development tasks. Not for Azure Synapse Analytics (use azure-synapse-analytics), Azure Data Factory (use azure-data-factory), Azure Event Hubs (use azure-event-hubs), Azure Data Explorer (use azure-data-explo
npx skills add MicrosoftDocs/Agent-Skills --skill azure-stream-analytics --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 Stream Analytics covering troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Tailored for building jobs with Event Hubs/Kafka, Cosmos DB/SQL outputs, ML/AML integration, IoT Edge, or Power BI, among other Stream Analytics development tasks.
How it works
- Use the Category Index to locate relevant sections. Read specific categories via read_file on either line ranges (e.g., L35-L120) or linked reference files (e.g., security.md).
- If metadata.generated_at is older than 3 months, suggest pulling the latest version from the repository. If mcp_microsoftdocs tools are unavailable, suggest installing them via the provided Installation Guide.
- Requires network access to fetch documentation content using mcp_microsoftdocs:microsoft_docs_fetch (from=learn-agent-skill) or fetch_webpage (from=learn-agent-skill&accept=text/markdown).
- Access categories such as Troubleshooting, Best Practices, Decision Making, Architecture & Design Patterns, Limits & Quotas, Security, Configuration, Integrations & Coding Patterns, and Deployment to guide tasks.
When to use it
Use when building Azure Stream Analytics jobs and related development tasks, especially with inputs/outputs like Event Hubs, Kafka, Cosmos DB, SQL, ML integrations, IoT Edge, or Power BI. Not intended for Azure Synapse Analytics, Azure Data Factory, Azure Event Hubs (separate skill), or Azure Data Explorer.
What it can touch
- Tools: claude-code, copilot, codex
- Documentation fetch via: mcp_microsoftdocs:microsoft_docs_fetch or fetch_webpage
- References to numerous Azure documentation topics (e.g., troubleshooting, best practices, security, outputs, monitoring, autoscale, and deployment patterns) accessible through read_file on referenced files.
Caveats
- License: CC-BY-4.0
- Requires network access to retrieve documentation content; if tools are unavailable, follow fallback fetch method.
- Content relies on Microsoft Learn documentation and category-linked references; specific outcomes are not guaranteed by the skill.
# Azure Stream Analytics Skill This skill provides expert guidance for Azure Stream Analytics. 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
- 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-stream-analytics skill do?
Expert knowledge for Azure Stream Analytics development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when building jobs with Event Hubs/Kafka, Cosmos DB/SQL outputs, ML/AML integration, IoT Edge, or Power BI, and other Azure Stream Analytics related development tasks. Not for Azure Synapse Analytics (use azure-synapse-analytics), Azure Data Factory (use azure-data-factory), Azure Event Hubs (use azure-event-hubs), Azure Data Explorer (use azure-data-explo
How do I install it?
Run `npx skills add MicrosoftDocs/Agent-Skills --skill azure-stream-analytics --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 MicrosoftDocs/Agent-Skills, a repository with 682 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.