azure-data-explorer
Expert knowledge for Azure Data Explorer development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when securing ADX (RBAC, managed identities), automating cluster/schema deployment, integrating via ODBC/JDBC, tuning ingestion, or designing DR/multitenant architectures, and other Azure Data Explorer related development tasks. Not for Azure Synapse Analytics (use azure-synapse-analytics), Azure Stream Analytics (use azure-stream-analytics), Azure HDInsight
npx skills add MicrosoftDocs/Agent-Skills --skill azure-data-explorer --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 Data Explorer development, covering 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 it works
- Use the Category Index to locate relevant sections. If a category specifies line ranges (e.g., L35-L120), read the file with
read_fileon the specified lines. If a category links to a file (e.g.,[security.md](security.md)), useread_fileon the linked reference file. - It requires network access to fetch documentation content via the preferred tool
mcp_microsoftdocs:microsoft_docs_fetchor the fallbackfetch_webpage. - If
metadata.generated_atis more than 3 months old, suggest pulling the latest version from the repository. If the required tools are unavailable, suggest installing them via the provided Installation Guide.
When to use it
Use for Azure Data Explorer related development tasks, including securing ADX (RBAC, managed identities), automating cluster/schema deployment, integrating via ODBC/JDBC, tuning ingestion, or designing DR/multitenant architectures.
What it can touch
This skill relies on network access and uses tools mcp_microsoftdocs:microsoft_docs_fetch or fetch_webpage to retrieve documentation.
Caveats
Requires network access and the appropriate documentation-fetching tools. No outcomes beyond guidance from retrieved documentation are promised.
# Azure Data Explorer Skill This skill provides expert guidance for Azure Data Explorer. 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 `fetc
- 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-data-explorer skill do?
Expert knowledge for Azure Data Explorer development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when securing ADX (RBAC, managed identities), automating cluster/schema deployment, integrating via ODBC/JDBC, tuning ingestion, or designing DR/multitenant architectures, and other Azure Data Explorer related development tasks. Not for Azure Synapse Analytics (use azure-synapse-analytics), Azure Stream Analytics (use azure-stream-analytics), Azure HDInsight
How do I install it?
Run `npx skills add MicrosoftDocs/Agent-Skills --skill azure-data-explorer --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.