Agent skill · DevOps & Cloud

azure-ai-anomalydetector-java

Build anomaly detection applications with Azure AI Anomaly Detector SDK for Java. Use when implementing univariate/multivariate anomaly detection, time-series analysis, or AI-powered monitoring.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill azure-ai-anomalydetector-java --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 8 KB
Bundled scripts: none
Path: skills/ai-ml/azure-ai-anomalydetector-java/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Azure AI Anomaly Detector SDK for Java Build anomaly detection applications using the Azure AI Anomaly Detector SDK for Java. ## Installation ```xml <dependency> <groupId>com.azure</groupId> <artifactId>azure-ai-anomalydetector</artifactId> <version>3.0.0-beta.6</version> </dependency> ``` ## Client Creation ### Sync and Async Clients ```java import com.azure.ai.anomalydetector.AnomalyDetectorClientBuilder; import com.azure.ai.anomalydetector.MultivariateClient; import com.azure.ai.anomalydetector.UnivariateClient; import com.azure.core.credential.AzureKeyCredential; String endpoint = System.getenv("AZURE_ANOMALY_DETECTOR_ENDPOINT"); String key = System.getenv("AZURE_ANOMALY_DETECTOR_API_KEY"); // Multivariate client for multiple correlated signals MultivariateClient multivariateClient = new AnomalyDetectorClientBuilder() .credential(new AzureKeyCredential(key)) .endpoint(endpoint) .buildMultivariateClient(); // Univariate client for single variable analysis UnivariateClient univariateClient = new AnomalyDetectorClientBuilder() .credential(new AzureKeyCredential(key)) .endpoint(endpoint) .buildUnivariateClient(); ``` ### With DefaultAzureCredential ```java import com.azure.identi

What's inside
Steps it walks through
  1. Installation
  2. Client Creation
  3. Sync and Async Clients
  4. With DefaultAzureCredential
  5. Key Concepts
  6. Univariate Anomaly Detection
  7. Multivariate Anomaly Detection
  8. Core Patterns
  9. Univariate Batch Detection
  10. Univariate Last Point Detection (Streaming)
  11. Change Point Detection
  12. Multivariate Model Training
  13. Multivariate Batch Inference
  14. Multivariate Last Point Detection
Ships with 1 file
  • metadata.json
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About this skill
What does the azure-ai-anomalydetector-java skill do?

Build anomaly detection applications with Azure AI Anomaly Detector SDK for Java. Use when implementing univariate/multivariate anomaly detection, time-series analysis, or AI-powered monitoring.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill azure-ai-anomalydetector-java --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 majiayu000/claude-skill-registry, a repository with 534 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.

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