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Expert knowledge for Azure Data Explorer development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration…
Install Azure Data Explorer
$ npx skills add MicrosoftDocs/Agent-Skills --skill azure-data-explorer -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install MicrosoftDocs/Agent-Skills azure-data-explorer --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/MicrosoftDocs/Agent-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/azure-data-explorer .claude/skills/azure-data-explorer && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "azure-data-explorer" agent skill from https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-data-explorer into .claude/skills/azure-data-explorer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-data-explorer", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-data-explorerType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add MicrosoftDocs/Agent-Skills --skill azure-data-explorer -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install MicrosoftDocs/Agent-Skills azure-data-explorer --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/MicrosoftDocs/Agent-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/azure-data-explorer .agents/skills/azure-data-explorer && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "azure-data-explorer" agent skill from https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-data-explorer into .agents/skills/azure-data-explorer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-data-explorer", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add MicrosoftDocs/Agent-Skills --skill azure-data-explorer -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install MicrosoftDocs/Agent-Skills azure-data-explorer --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/MicrosoftDocs/Agent-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/azure-data-explorer .cursor/skills/azure-data-explorer && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "azure-data-explorer" agent skill from https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-data-explorer into .cursor/skills/azure-data-explorer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-data-explorer", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/MicrosoftDocs/Agent-Skills.git --path skills/azure-data-explorer--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add MicrosoftDocs/Agent-Skills --skill azure-data-explorer -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install MicrosoftDocs/Agent-Skills azure-data-explorer --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/MicrosoftDocs/Agent-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/azure-data-explorer .gemini/skills/azure-data-explorer && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "azure-data-explorer" agent skill from https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-data-explorer into .gemini/skills/azure-data-explorer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-data-explorer", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install MicrosoftDocs/Agent-Skills azure-data-explorerInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add MicrosoftDocs/Agent-Skills --skill azure-data-explorer -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/MicrosoftDocs/Agent-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/azure-data-explorer .github/skills/azure-data-explorer && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "azure-data-explorer" agent skill from https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-data-explorer into .github/skills/azure-data-explorer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-data-explorer", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add MicrosoftDocs/Agent-Skills --skill azure-data-explorer -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install MicrosoftDocs/Agent-Skills azure-data-explorer --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/MicrosoftDocs/Agent-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/azure-data-explorer .opencode/skills/azure-data-explorer && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "azure-data-explorer" agent skill from https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-data-explorer into .opencode/skills/azure-data-explorer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-data-explorer", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
azure-data-explorer- GitHub stars
- 775
- Token cost
- ~4.9k tokens
- SKILL.md length
- 1,375 words
- Files
- 1
- Skills in repo
- 149
- Repo updated
- First seen
- Licence
- CC-BY-4.0
At a glance
Expert knowledge for Azure Data Explorer development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration…
- Securing ADX (RBAC/MI)
- SKILL.md covers How to Use This Skill and Category Index
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Automating cluster/schema deploys
What it does
Azure Data Explorer is an agent skill from MicrosoftDocs/Agent-Skills, published by the product's own GitHub organization. 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/MI), automating cluster/schema deploys, tuning ingestion/queries, or integrating via ODBC/JDBC/Power BI, and other Azure Data Explorer related development tasks. Not for Azure Synapse Analytics (use azure-synapse-analytics), Azure HDInsight (use…
Its SKILL.md is about 4.9k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts. Compatibility notes: Requires network access. Uses mcpmicrosoftdocs:microsoftdocsfetch or fetchwebpage to retrieve documentation.
It sits in Development, covering Design patterns and Authorization and RBAC. It works with Microsoft Azure, Databricks and Power BI. The repository describes itself as: Curated Agent Skills for Microsoft & Azure – giving AI coding assistants structured, real-time expertise from Microsoft Learn docs. The licence is CC-BY-4.0.
When your agent uses it
- Securing ADX (RBAC/MI)
- Automating cluster/schema deploys
- Tuning ingestion/queries
- Integrating via ODBC/JDBC/Power BI
Example prompts
- “/azure-data-explorer”
Requirements
- Python 3
- Compatibility (from SKILL.md): Requires network access. Uses mcp_microsoftdocs:microsoft_docs_fetch or fetch_webpage to retrieve documentation.
What it can do on your machine
Read from SKILL.md and the folder at commit ba74e8f. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
learn.microsoft.comgithub.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Compatibility
Requires network access. Uses mcp_microsoftdocs:microsoft_docs_fetch or fetch_webpage to retrieve documentation.
From compatibility in the SKILL.md frontmatter.
Context cost
Azure Data Explorer loads about 4.9k tokens when it runs. Until then it costs about 160 tokens; SKILL.md has 1,375 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from MicrosoftDocs/Agent-Skills at commit ba74e8f, republished under its CC-BY-4.0 licence (© MicrosoftDocs). 1,375 words, ~4,900 tokens.
Download SKILL.mdSave it as
.claude/skills/azure-data-explorer/SKILL.md (or your agent's skills folder).- name
- azure-data-explorer
- description
- 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/MI), automating cluster/schema deploys, tuning ingestion/queries, or integrating via ODBC/JDBC/Power BI, and other Azure Data Explorer related development tasks. Not for Azure Synapse Analytics (use azure-synapse-analytics), Azure HDInsight (use azure-hdinsight), Azure Databricks (use azure-databricks), Azure Stream Analytics (use azure-stream-analytics).
- compatibility
- Requires network access. Uses mcp_microsoftdocs:microsoft_docs_fetch or fetch_webpage to retrieve documentation.
- metadata.generated_at
- 2026-10-04
- metadata.generator
- docs2skills/1.0.0
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), 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:
- 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-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. |
Troubleshooting
Best Practices
Decision Making
Architecture & Design Patterns
| Topic | URL |
|---|---|
| Design Azure Data Explorer business continuity and DR | https://learn.microsoft.com/en-us/azure/data-explorer/business-continuity-create-solution |
| Use follower databases for cross-cluster ADX access | https://learn.microsoft.com/en-us/azure/data-explorer/follower |
| Choose multitenant architectures for Azure Data Explorer | https://learn.microsoft.com/en-us/azure/data-explorer/multi-tenant |
Limits & Quotas
| Topic | URL |
|---|---|
| Understand automatic stop behavior for inactive clusters | https://learn.microsoft.com/en-us/azure/data-explorer/auto-stop-clusters |
| Apply Event Grid ingestion file size limits in Azure Data Explorer | https://learn.microsoft.com/en-us/azure/data-explorer/create-event-grid-connection |
| Delete and recover Azure Data Explorer clusters safely | https://learn.microsoft.com/en-us/azure/data-explorer/delete-cluster |
| Understand invalid data behavior during ADX ingestion | https://learn.microsoft.com/en-us/azure/data-explorer/ingest-invalid-data |
| Supported data and compression formats for Azure Data Explorer ingestion | https://learn.microsoft.com/en-us/azure/data-explorer/ingestion-supported-formats |
| Upgrade free Azure Data Explorer clusters and remove limits | https://learn.microsoft.com/en-us/azure/data-explorer/start-for-free-upgrade |
Show full SKILL.md (647 more words)Show less
Security
Configuration
Integrations & Coding Patterns
Deployment
| Topic | URL |
|---|---|
| Automate provisioning of Azure Data Explorer environments | https://learn.microsoft.com/en-us/azure/data-explorer/automated-deploy-overview |
| Use Azure DevOps pipelines for Azure Data Explorer schema deployment | https://learn.microsoft.com/en-us/azure/data-explorer/devops |
| Migrate Azure Data Explorer clusters to multiple availability zones | https://learn.microsoft.com/en-us/azure/data-explorer/migrate-cluster-to-multiple-availability-zone |
| Migrate Azure Data Explorer VNet injection to private endpoints | https://learn.microsoft.com/en-us/azure/data-explorer/security-network-migrate-vnet-to-private-endpoint |
© MicrosoftDocs, CC-BY-4.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skills/azure-data-explorer of MicrosoftDocs/Agent-Skills.
Open the folder on GitHubat commit ba74e8f
Compare with similar skills
Azure Data Explorer next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Azure Data Explorer this skillMicrosoftDocs/Agent-Skills | 775 | — | ~4.9k | Automated safety check: Pass | CC-BY-4.0 | |
| Code ReviewAzure/sap-automation | 145 | — | ~7k | Automated safety check: Pass | MIT | |
| Microsoft Foundrymicrosoft/GitHub-Copilot-for-Azure | 255 | 1 repos | ~6.7k | Automated safety check: Pass | MIT | |
| Update Provider Depsmondoohq/mql | 411 | — | ~4.5k | Automated safety check: Pass | Custom licence | |
| Azure Resource Manager Cosmosdb Dotnetmicrosoft/skills | 3.1k | 5 repos | ~2.1k | Automated safety check: Pass | MIT | |
| Azure Bastion Jitvinayaklatthe/microsoft-security-skills | 175 | — | ~2.2k | Automated safety check: Pass | MIT |
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Questions about Azure Data Explorer
What does Azure Data Explorer do?
Expert knowledge for Azure Data Explorer development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration…. Azure Data Explorer is an agent skill from MicrosoftDocs/Agent-Skills, published by the product's own GitHub organization. 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.
When should I use Azure Data Explorer?
Azure Data Explorer fits situations like: securing ADX (RBAC/MI); automating cluster/schema deploys; tuning ingestion/queries; integrating via ODBC/JDBC/Power BI.
How do I install Azure Data Explorer in Claude Code?
Run `npx skills add MicrosoftDocs/Agent-Skills --skill azure-data-explorer -a claude-code`. Or copy the skill folder (skills/azure-data-explorer in MicrosoftDocs/Agent-Skills) into .claude/skills/azure-data-explorer in your project. Claude Code loads it when a task matches its description.
How do I install Azure Data Explorer in Codex?
Run `npx skills add MicrosoftDocs/Agent-Skills --skill azure-data-explorer -a codex`. Or copy the skill folder (skills/azure-data-explorer in MicrosoftDocs/Agent-Skills) into .agents/skills/azure-data-explorer in your project. Codex loads it when a task matches its description.
Can I use Azure Data Explorer in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add MicrosoftDocs/Agent-Skills --skill azure-data-explorer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/azure-data-explorer, .gemini/skills/azure-data-explorer, .github/skills/azure-data-explorer and .opencode/skills/azure-data-explorer in your project.
What does Azure Data Explorer need to run?
SKILL.md names no scripts, command-line tools or credentials: Azure Data Explorer is instructions for the agent only. Our summary lists: Python 3. Compatibility (from SKILL.md): Requires network access. Uses mcp_microsoftdocs:microsoft_docs_fetch or fetch_webpage to retrieve documentation..
Does Azure Data Explorer access the network?
SKILL.md names 2 domains. As links in the text: learn.microsoft.com and github.com. This is read from the text; nothing was executed.
Is Azure Data Explorer safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Azure Data Explorer use?
Azure Data Explorer is published under the CC-BY-4.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Azure Data Explorer use?
About 4.9k tokens (SKILL.md is roughly 20k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Azure Data Explorer?
Skills that share tags, products or a category with Azure Data Explorer: Code Review (Azure/sap-automation, 145 stars), Microsoft Foundry (microsoft/GitHub-Copilot-for-Azure, 255 stars), Update Provider Deps (mondoohq/mql, 411 stars) and Azure Resource Manager Cosmosdb Dotnet (microsoft/skills, 3.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Azure Data Explorer?
MicrosoftDocs (a GitHub organization, an official publisher) maintains it in MicrosoftDocs/Agent-Skills, which has 775 GitHub stars. The repository holds 149 skills in this directory. The repository was last updated on October 5, 2026.
Source: MicrosoftDocs/Agent-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.