Apex Azure Kusto
jonathan-vella/apex
ANALYSIS SKILL — Query and analyze data in Azure Data Explorer (Kusto/ADX) using KQL.
Expert knowledge for Azure AI Metrics Advisor development including decision making, limits & quotas, security, configuration, and integrations & coding patterns.
$ npx skills add MicrosoftDocs/Agent-Skills --skill azure-metrics-advisor -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install MicrosoftDocs/Agent-Skills azure-metrics-advisor --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-metrics-advisor .claude/skills/azure-metrics-advisor && 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-metrics-advisor" agent skill from https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-metrics-advisor into .claude/skills/azure-metrics-advisor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-metrics-advisor", 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-metrics-advisorType 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-metrics-advisor -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install MicrosoftDocs/Agent-Skills azure-metrics-advisor --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-metrics-advisor .agents/skills/azure-metrics-advisor && 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-metrics-advisor" agent skill from https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-metrics-advisor into .agents/skills/azure-metrics-advisor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-metrics-advisor", 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-metrics-advisor -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install MicrosoftDocs/Agent-Skills azure-metrics-advisor --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-metrics-advisor .cursor/skills/azure-metrics-advisor && 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-metrics-advisor" agent skill from https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-metrics-advisor into .cursor/skills/azure-metrics-advisor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-metrics-advisor", 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-metrics-advisor--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-metrics-advisor -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install MicrosoftDocs/Agent-Skills azure-metrics-advisor --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-metrics-advisor .gemini/skills/azure-metrics-advisor && 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-metrics-advisor" agent skill from https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-metrics-advisor into .gemini/skills/azure-metrics-advisor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-metrics-advisor", 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-metrics-advisorInstalls 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-metrics-advisor -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-metrics-advisor .github/skills/azure-metrics-advisor && 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-metrics-advisor" agent skill from https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-metrics-advisor into .github/skills/azure-metrics-advisor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-metrics-advisor", 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-metrics-advisor -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-metrics-advisor --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-metrics-advisor .opencode/skills/azure-metrics-advisor && 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-metrics-advisor" agent skill from https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-metrics-advisor into .opencode/skills/azure-metrics-advisor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-metrics-advisor", 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.
azure-metrics-advisorExpert knowledge for Azure AI Metrics Advisor development including decision making, limits & quotas, security, configuration, and integrations & coding patterns.
Azure Metrics Advisor is an agent skill from MicrosoftDocs/Agent-Skills, published by the product's own GitHub organization. Expert knowledge for Azure AI Metrics Advisor development including decision making, limits & quotas, security, configuration, and integrations & coding patterns. Use when configuring data feeds, tuning anomaly detection, managing alerts/hooks, or calling Metrics Advisor REST/SDKs, and other Azure AI Metrics Advisor related development tasks. Not for Azure AI Anomaly Detector (use azure-anomaly-detector), Azure Monitor (use azure-monitor), Azure Stream Analytics (use azure-stream-analytics).
Its SKILL.md is about 1.1k 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 Data & Analytics, covering Anomaly detection. It works with Microsoft Azure and Azure Monitor. 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.
Read from SKILL.md and the folder at commit ba74e8f. It shows what the files ask for, not the result of running them.
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.
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.
Links to these hosts (documentation or services it may open):
learn.microsoft.comgithub.comFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Requires network access. Uses mcp_microsoftdocs:microsoft_docs_fetch or fetch_webpage to retrieve documentation.
From compatibility in the SKILL.md frontmatter.
Azure Metrics Advisor loads about 1.1k tokens when it runs. Until then it costs about 130 tokens; SKILL.md has 342 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.
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.
The full file from MicrosoftDocs/Agent-Skills at commit ba74e8f, republished under its CC-BY-4.0 licence (© MicrosoftDocs). 342 words, ~1,092 tokens.
.claude/skills/azure-metrics-advisor/SKILL.md (or your agent's skills folder).This skill provides expert guidance for Azure AI Metrics Advisor. Covers decision making, limits & quotas, security, configuration, and integrations & coding patterns. 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 |
|---|---|---|
| Decision Making | L33-L37 | Guidance on estimating, controlling, and optimizing Metrics Advisor costs and usage, including pricing factors, quotas, and cost-management best practices. |
| Limits & Quotas | L38-L42 | Service limits for Metrics Advisor: max metrics, dimensions, alerts, data ingestion rates, detection constraints, and guidance on scaling within quotas. |
| Security | L43-L48 | Configuring Metrics Advisor security: data encryption, auth options (keys, AAD), and creating/managing secure credential entities for data sources and monitoring. |
| Configuration | L49-L53 | Setting up Metrics Advisor: configuring alert hooks (email/webhook), alerting rules, data feed and detection settings, and tuning anomaly detection behavior for your instance. |
| Integrations & Coding Patterns | L54-L58 | Connecting Metrics Advisor to various data sources, crafting valid ingestion queries, and using its REST API/SDKs to integrate anomaly detection into applications |
| Topic | URL |
|---|---|
| Plan and manage Azure Metrics Advisor costs and usage | https://learn.microsoft.com/en-us/azure/ai-services/metrics-advisor/cost-management |
| Topic | URL |
|---|---|
| Understand Metrics Advisor limits and constraints | https://learn.microsoft.com/en-us/azure/ai-services/metrics-advisor/faq |
| Topic | URL |
|---|---|
| Configure encryption and authentication for Metrics Advisor | https://learn.microsoft.com/en-us/azure/ai-services/metrics-advisor/encryption |
| Create and manage Metrics Advisor credential entities securely | https://learn.microsoft.com/en-us/azure/ai-services/metrics-advisor/how-tos/credential-entity |
| Topic | URL |
|---|---|
| Configure Metrics Advisor instance and detection settings | https://learn.microsoft.com/en-us/azure/ai-services/metrics-advisor/how-tos/configure-metrics |
| Topic | URL |
|---|---|
| Connect diverse data sources to Metrics Advisor | https://learn.microsoft.com/en-us/azure/ai-services/metrics-advisor/data-feeds-from-different-sources |
| Use Metrics Advisor REST API and client SDKs | https://learn.microsoft.com/en-us/azure/ai-services/metrics-advisor/quickstarts/rest-api-and-client-library |
© 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
Just SKILL.md in skills/azure-metrics-advisor of MicrosoftDocs/Agent-Skills.
Open the folder on GitHubat commit ba74e8f
Azure Metrics Advisor 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 Metrics Advisor this skillMicrosoftDocs/Agent-Skills | 777 | — | ~1.1k | Automated safety check: Pass | CC-BY-4.0 | |
| Apex Azure Kustojonathan-vella/apex | 217 | — | ~984 | Automated safety check: Pass | MIT | |
| Kqlmicrosoft/fabric-rti-mcp | 131 | — | ~6.2k | Automated safety check: Pass | MIT | |
| Azure AI Anomalydetector Javamicrosoft/skills | 3.1k | 6 repos | ~2.3k | Automated safety check: Pass | MIT | |
| Analyzing Cloud Storage Access Patternsmukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~599 | Automated safety check: Pass | Apache-2.0 | |
| Azure Kustomicrosoft/GitHub-Copilot-for-Azure | 255 | 1 repos | ~2.2k | Automated safety check: Pass | MIT |
jonathan-vella/apex
ANALYSIS SKILL — Query and analyze data in Azure Data Explorer (Kusto/ADX) using KQL.
microsoft/fabric-rti-mcp
KQL language expertise for writing correct, efficient Kusto queries using the Fabric RTI MCP tools.
microsoft/skills
Build anomaly detection applications with Azure AI Anomaly Detector SDK for Java.
mukul975/Anthropic-Cybersecurity-Skills
Detect abnormal access in AWS S3, GCS, and Azure Blob Storage by analyzing CloudTrail Data Events, GCS audit logs, and Azure Storage Analytics for after-hours bulk downloads, new-IP access, and…
microsoft/GitHub-Copilot-for-Azure
Query and analyze data in Azure Data Explorer (Kusto/ADX) using KQL for log analytics, telemetry, and time series analysis.
microsoft/skills
KQL language expertise for writing correct, efficient Kusto Query Language queries.
MicrosoftDocs/Agent-Skills
Expert knowledge for Azure AI Personalizer development including troubleshooting, decision making, security, configuration, and integrations & coding patterns.
MicrosoftDocs/Agent-Skills
Guides Azure solution design by category, from reference architectures and design patterns to technology choices and migrations, fetching current Microsoft Learn pages over the network.
MicrosoftDocs/Agent-Skills
Reference guidance for Azure Advisor work: recommendations, alerts and digests, workbooks, RBAC access and sovereign-cloud limits, fetched from Microsoft Learn.
MicrosoftDocs/Agent-Skills
Looks up Microsoft Learn guidance for Azure AI Vision: Image Analysis, Read OCR containers, smart-crop thumbnails, background removal and video frame analysis, plus limits and deployment.
MicrosoftDocs/Agent-Skills
Expert knowledge for Azure Analysis Services development including troubleshooting.
MicrosoftDocs/Agent-Skills
Expert knowledge for Azure AI Anomaly Detector development including troubleshooting, best practices, limits & quotas, configuration, and deployment.
Works with
Categories
Expert knowledge for Azure AI Metrics Advisor development including decision making, limits & quotas, security, configuration, and integrations & coding patterns. Azure Metrics Advisor is an agent skill from MicrosoftDocs/Agent-Skills, published by the product's own GitHub organization. Expert knowledge for Azure AI Metrics Advisor development including decision making, limits & quotas, security, configuration, and integrations & coding patterns.
Azure Metrics Advisor fits situations like: configuring data feeds; tuning anomaly detection; managing alerts/hooks; calling Metrics Advisor REST/SDKs.
Run `npx skills add MicrosoftDocs/Agent-Skills --skill azure-metrics-advisor -a claude-code`. Or copy the skill folder (skills/azure-metrics-advisor in MicrosoftDocs/Agent-Skills) into .claude/skills/azure-metrics-advisor in your project. Claude Code loads it when a task matches its description.
Run `npx skills add MicrosoftDocs/Agent-Skills --skill azure-metrics-advisor -a codex`. Or copy the skill folder (skills/azure-metrics-advisor in MicrosoftDocs/Agent-Skills) into .agents/skills/azure-metrics-advisor in your project. Codex loads it when a task matches its description.
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-metrics-advisor -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-metrics-advisor, .gemini/skills/azure-metrics-advisor, .github/skills/azure-metrics-advisor and .opencode/skills/azure-metrics-advisor in your project.
SKILL.md names no scripts, command-line tools or credentials: Azure Metrics Advisor is instructions for the agent only. Compatibility (from SKILL.md): Requires network access. Uses mcp_microsoftdocs:microsoft_docs_fetch or fetch_webpage to retrieve documentation..
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.
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.
Azure Metrics Advisor 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.
About 1.1k tokens (SKILL.md is roughly 4.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Azure Metrics Advisor: Apex Azure Kusto (jonathan-vella/apex, 217 stars), Kql (microsoft/fabric-rti-mcp, 131 stars), Azure AI Anomalydetector Java (microsoft/skills, 3.1k stars) and Analyzing Cloud Storage Access Patterns (mukul975/Anthropic-Cybersecurity-Skills, 34k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
MicrosoftDocs (a GitHub organization, an official publisher) maintains it in MicrosoftDocs/Agent-Skills, which has 777 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.