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。
Manages and executes standardized incident response procedures for OpenEvidence API integrations and services.
Monitors and analyzes blockchain metrics, DeFi protocol TVL, and yield opportunities using real-time data sources.
Configures comprehensive monitoring, metrics, and alerting for Databricks workflows and infrastructure using system tables.
Analyzes crypto derivatives data to track institutional positioning and market sentiment across major exchanges.
Streams custom logs to Azure Monitor Log Analytics using the Python SDK and Data Collection Rules.
Guides developers through instrumenting web applications with Azure Application Insights for comprehensive telemetry and monitoring.
Queries Azure Monitor logs and metrics using Python to gain deep insights into cloud application performance.
Enables querying of Azure Monitor logs and metrics using the Java SDK with support for Kusto Query Language (KQL).
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.
Streamlines Azure monitoring and diagnostics by providing integrated access to metrics, logs, and KQL query patterns within Claude.
Exports OpenTelemetry traces, metrics, and logs from Java applications to Azure Monitor and Application Insights.
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.
Simplifies Azure Application Insights integration with one-line OpenTelemetry auto-instrumentation for Python applications.
Manages Arize AI Observability and Evaluation resources on Azure using the .NET Resource Manager SDK.
Configures isolated Langfuse observability environments with automated secret management and CI/CD integration.
Implements production-grade monitoring, structured logging, and real-time alerting for Linear API integrations and webhooks.
Optimizes Mistral AI API expenses through intelligent model routing, token management, and automated budget monitoring.
Analyzes and optimizes frontend application bundle sizes to improve load times and overall performance.
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.
Configures and manages automated alerting policies within Google Cloud Platform using gcloud CLI and SRE best practices.
Validates application performance metrics against predefined thresholds to prevent regressions in page load times, bundle sizes, and API latency.
Collects and packages Databricks diagnostic data, cluster logs, and job details into a redacted support bundle.
Analyzes application logs to identify performance bottlenecks, recurring error patterns, and resource usage anomalies.
Executes secondary analytics workflows and supplementary data tasks within the PostHog platform.
Collects comprehensive diagnostic information and logs to troubleshoot Obsidian plugin issues and generate support reports.
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