analytics & monitoring Claude 스킬을 발견하세요. 47개의 스킬을 탐색하고 AI 워크플로우에 완벽한 기능을 찾아보세요.
Synthesizes performance investigation data into evidence-backed recommendations and actionable next steps.
Guides the step-by-step creation of new walkerOS destinations using a standardized, example-driven development workflow.
Answers business and analytics questions by querying data warehouses using the dbt Semantic Layer and SQL discovery.
Diagnoses and resolves dbt Cloud job failures by analyzing run logs, Admin API data, git history, and underlying data issues.
Monitors production health by querying Sentry issues and event data through a secure, read-only interface.
Optimizes Google Cloud logging and monitoring with battle-tested patterns for structured logs, advanced filtering, and cost-efficient observability.
Enhances your Claude Code terminal with a real-time, customizable status bar featuring session metrics, Git context, and resource usage.
Standardizes multi-model validation through mandatory pre-launch checklists and structured progress tracking.
Analyzes codebases to identify performance bottlenecks, reduce bundle sizes, and accelerate build times across multiple technology stacks.
Monitors agent success rates, model latency, and execution costs to optimize AI workflow efficiency.
Monitor and record detailed agent session events, tool invocations, and performance metrics for deep observability.
Extracts and analyzes Agentforce session telemetry to debug agent conversations and optimize performance using Data Cloud STDM data.
Implements a mandatory tracking and validation framework for parallel multi-model AI executions to ensure structured results.
Optimizes marketing ROI through advanced attribution modeling, performance measurement, and automated reporting.
Visualizes Claude Code development cycles with a real-time monitoring dashboard for tasks, sessions, and project status.
Implements industry-standard observability using OpenTelemetry to provide deep visibility into system performance, logging, and distributed tracing.
Builds sophisticated analytics interfaces featuring KPI cards, interactive data visualizations, and real-time monitoring layouts.
Builds accessible, high-performance dashboards and data-driven interfaces using a systematic selection framework and comprehensive chart library.
Builds custom OpenLineage extractors to capture data lineage and metadata from Airflow operators.
Simplifies the process of adding manual data lineage tracking to Apache Airflow tasks using inlets and outlets.
Implements professional-grade event tracking, funnel analysis, and data-driven dashboards for SaaS applications.
Implements robust uptime tracking, error logging, and performance monitoring to ensure SaaS applications remain stable and responsive.
Provides expert SaaS financial analysis and unit economics modeling for solo and bootstrapped founders.
Performs professional-grade technical analysis on stocks and ETFs using advanced indicators and pattern recognition.
Monitors specific topics and provides AI-powered alerts for product releases, news, and technical updates.
Identifies runtime performance bottlenecks and async anti-patterns to optimize application execution and resource efficiency.
Monitors and optimizes CPU and GPU resource consumption during intensive development, builds, and training tasks.
Implements robust monitoring strategies, SLI/SLO frameworks, and distributed tracing patterns for production-ready systems.
Generates professional HTML dashboards featuring KPI cards, SVG charts, and interactive data visualizations for monitoring project metrics.
Configures production-grade observability, health monitoring, and secure management endpoints for Spring Boot applications.
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