analytics & monitoring Claude 스킬을 발견하세요. 47개의 스킬을 탐색하고 AI 워크플로우에 완벽한 기능을 찾아보세요.
Automates Segment customer data platform operations including event tracking, user identification, and batch data processing via Rube MCP.
Automates Datadog monitoring and observability workflows, including metric querying, log analysis, and dashboard management.
Automates PostHog product analytics, feature flag management, and event tracking through Rube MCP integration.
Configures and manages a real-time Heads-Up Display statusline for the Claude Code terminal interface.
Analyzes SaaS customer health, predicts churn risks, and identifies revenue expansion opportunities using deterministic weighted scoring models.
Analyzes sales pipelines, tracks forecasting accuracy, and calculates go-to-market efficiency metrics for SaaS business optimization.
Streamlines Azure monitoring and diagnostics by providing integrated access to metrics, logs, and KQL query patterns within Claude.
Streams custom logs to Azure Monitor Log Analytics using the Python SDK and Data Collection Rules.
Queries Azure Monitor logs and metrics using Python to gain deep insights into cloud application performance.
Manages Arize AI Observability and Evaluation resources on Azure using the .NET Resource Manager SDK.
Enables querying of Azure Monitor logs and metrics using the Java SDK with support for Kusto Query Language (KQL).
Simplifies Azure Application Insights integration with one-line OpenTelemetry auto-instrumentation for Python applications.
Automates the provisioning and configuration of Azure Application Insights resources for robust application performance monitoring and observability.
Instruments Node.js applications with Azure Monitor and OpenTelemetry to provide comprehensive distributed tracing, metrics, and logging.
Queries and analyzes big data in Azure Data Explorer using Kusto Query Language (KQL) for logs, telemetry, and time-series data.
Exports OpenTelemetry traces, metrics, and logs from Java applications to Azure Monitor and Application Insights.
Guides developers through instrumenting web applications with Azure Application Insights for comprehensive telemetry and monitoring.
Streams custom application logs to Azure Monitor Log Analytics using the official Java SDK and Data Collection Rules.
Exports OpenTelemetry traces, metrics, and logs from Python applications directly to Azure Application Insights with granular control.
Defines and implements meaningful Key Performance Indicators (KPIs) using industry-standard data analytics and SQL patterns.
Calculates business metrics and generates analytical insights using SQL, statistical patterns, and data visualization best practices.
Automates the implementation of PostHog webhook destinations and event analysis using HogQL and REST APIs.
Collects and packages Databricks diagnostic data, cluster logs, and job details into a redacted support bundle.
Validates application performance metrics against predefined thresholds to prevent regressions in page load times, bundle sizes, and API latency.
Configures and manages automated alerting policies within Google Cloud Platform using gcloud CLI and SRE best practices.
Executes secondary analytics workflows and supplementary data tasks within the PostHog platform.
Analyzes application logs to identify performance bottlenecks, recurring error patterns, and resource usage anomalies.
Implements comprehensive observability stacks for Guidewire InsuranceSuite including structured logging, metrics, and distributed tracing.
Collects comprehensive diagnostic information and logs to troubleshoot Obsidian plugin issues and generate support reports.
Diagnoses and resolves complex MaintainX integration issues using detailed logging, diagnostic scripts, and automated troubleshooting procedures.
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