发现analytics & monitoring类别的 Claude 技能。浏览 47 个技能,找到适合您 AI 工作流程的完美功能。
Streamlines the process of sending custom logs to Azure Monitor via Data Collection Rules using the Java SDK.
Configures automated research experiments to optimize code performance, file size, and content quality through systematic benchmarking.
Optimizes end-to-end application performance through deep profiling, database tuning, and frontend orchestration across the entire technical stack.
Configures and optimizes Prometheus for comprehensive metric collection, alerting, and infrastructure observability.
Provides expert SRE guidance to rapidly stabilize, investigate, and resolve critical system outages and reliability issues.
Implements comprehensive monitoring, distributed tracing, and visualization for Istio and Linkerd service mesh deployments.
Manages Azure Application Insights resources, including monitoring components, availability tests, and performance dashboards using the .NET SDK.
Implements professional analytics tracking plans and measurement strategies using tools like GA4 and Google Tag Manager.
Analyzes and optimizes web application performance using data-driven profiling and Core Web Vitals benchmarks.
Implements robust data validation using Great Expectations, dbt tests, and data contracts to ensure pipeline reliability.
Implements reliability standards and error budget frameworks to balance service uptime with feature delivery speed.
Streamlines the software debugging lifecycle using AI-driven root cause analysis, observability integration, and production-safe troubleshooting workflows.
Guides developers through instrumenting web applications with Azure Application Insights for comprehensive telemetry and observability.
Automates PostHog product analytics, event tracking, and feature flag management through Rube MCP integration.
Automates the creation and validation of Datadog Software Catalog entity definitions by analyzing source code and interviewing engineers.
Queries and analyzes big data in Azure Data Explorer using Kusto Query Language (KQL) for logs, telemetry, and time-series analysis.
Implements comprehensive error monitoring and observability solutions to identify and resolve production issues with speed and precision.
Optimizes multi-agent systems through coordinated profiling, intelligent workload distribution, and cost-aware orchestration.
Monitors and manages database migrations using real-time CDC pipelines, observability dashboards, and automated alerting systems.
Employs systematic methodologies and profiling tools to identify and resolve software bugs across any technology stack.
Protects AI agent workflows by automatically monitoring, retrying, and recovering from failed tool calls and API interruptions.
Implements structured logging, metrics collection, and distributed tracing patterns for production-ready Python applications.
Evaluates local currency bond markets through comprehensive yield analysis, inflation dynamics, and FX carry assessments.
Decomposes private equity returns into revenue growth, margin expansion, multiple expansion, and leverage paydown for detailed portfolio analysis.
Decomposes private equity investment returns into core drivers including revenue growth, margin expansion, multiple shifts, and leverage paydown.
Evaluates management buyouts and take-private proposals through fairness assessments, minority squeeze-out mechanics, and appraisal rights analysis.
Manages interest rate risk analysis for banking institutions through EVE, NII sensitivity, and repricing gap modeling.
Analyzes marketplace dynamics, liquidity metrics, and network effects to evaluate investment viability and business health.
Calculates Theoretical Ex-Rights Price (TERP) and models arbitrage opportunities within corporate rights offerings.
Interprets credit default swap markets through basis analysis, curve dynamics, and credit event monitoring.
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