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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.
Passed 9 of 16 test cases with the skill, and 14 of 16 without it.
0 fixed13 passed either way3 still failing6 broke
Tokens, turns and time describe resource use, not a dollar price.
This benchmark measured an earlier version of the skill.
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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.
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: If
metadata.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:
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 | L37-L49 | Diagnosing and fixing ADX cluster health, connection, creation, ingestion, dashboard, DB/table, private endpoint, and resource health issues, including error codes and common failure patterns. |
| Best Practices | L50-L61 | Guidance on optimizing ADX clusters and schemas, handling duplicates and JSON ingestion, tuning for high concurrency, monitoring queued ingestion, using hot windows, and applying Power BI best practices. |
| Decision Making | L62-L76 | Guidance on ADX capacity planning, SKU and compute choices, scaling, cost optimization, reservations, business continuity, confidential compute, streaming ingestion, and Elasticsearch migration. |
| Architecture & Design Patterns | L77-L83 | Designing ADX architectures for DR/BCP, cross-cluster access via follower DBs, and multitenant patterns (isolation, scaling, and resource sharing). |
| Limits & Quotas | L84-L93 | Cluster limits and behaviors: free cluster quotas, auto-stop, safe delete/recover, ingestion file size and invalid data handling, and supported data/compression formats. |
| Security | L94-L121 | Securing Azure Data Explorer: authn/z (RBAC, principals, Entra apps, Conditional Access), encryption, managed identities, network isolation, policies, data purging, and outbound/public access control. |
| Configuration | L122-L136 | Configuring ADX environments: database/table policies, retention/cache, cross-tenant Event Hubs, Kusto emulator, plugins, monitoring, schema sync, T-SQL, and web UI settings/shortcuts. |
| Integrations & Coding Patterns | L137-L171 | Integrating Azure Data Explorer with tools and platforms (SQL, ODBC/JDBC, Power Automate/Apps, Functions, Grafana, Splunk, OpenTelemetry, etc.) and coding patterns for querying, ingestion, and automation. |
| Deployment | L172-L178 | Automating ADX cluster provisioning and schema deployment, plus guidance for migrating clusters to availability zones and from VNet injection to private endpoints. |
test cases passed, vs 14 / 16 without
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