Analytics & Monitoring Claudeスキル

Metabase Frontend Analytics Events

Standardizes the implementation of product analytics events within the Metabase frontend using TypeScript schemas and Snowplow tracking.

Video Report Generator

Automates the diagnostic process for problematic video URLs by rendering them via Remotion to generate detailed error logs.

PostHog Agent Mode Architect

Guides developers through the end-to-end process of creating and configuring specialized context-aware modes for the PostHog AI assistant.

Python Observability Patterns

Implements production-grade observability in Python applications through structured logging, Prometheus metrics, and distributed tracing.

Startup Metrics Framework

Provides a comprehensive framework for calculating, tracking, and optimizing key performance indicators for SaaS, marketplace, and consumer startup business models.

Data Storytelling

Transforms raw data and analytics into persuasive, action-oriented narratives using visualization frameworks and structured communication.

Python Performance Optimizer

Profiles and optimizes Python code to eliminate execution bottlenecks and reduce memory consumption.

SLO Implementation Framework

Defines and implements Service Level Indicators (SLIs) and Service Level Objectives (SLOs) to establish measurable reliability targets.

KPI Dashboard Design

Designs data-driven KPI dashboards with optimized metric selection, visualization best practices, and real-time monitoring patterns.

Prometheus Configuration

Configures comprehensive metric collection, alerting, and monitoring infrastructure using Prometheus.

Grafana Dashboard Architect

Designs and manages production-grade Grafana dashboards for real-time system observability and metric visualization.

Distributed Tracing & Observability

Implements end-to-end request tracking across microservices using Jaeger, Tempo, and OpenTelemetry to identify performance bottlenecks and debug complex system failures.

Service Mesh Observability

Implements comprehensive monitoring, distributed tracing, and performance visualization for Istio, Linkerd, and OpenTelemetry architectures.

Incident Runbook Templates

Generates production-ready incident response runbooks and structured procedures for service outages and database failures.

Risk Metrics Calculation

Calculates comprehensive portfolio risk indicators, including Value at Risk (VaR), expected shortfall, and risk-adjusted return ratios.

KPI Dashboard Design

Designs high-impact KPI dashboards using strategic metric selection, industry-standard visualization patterns, and data monitoring best practices.

Grafana Dashboards

Designs and implements production-ready Grafana dashboards for real-time system observability and application performance monitoring.

Service Mesh Observability

Implements comprehensive observability patterns for service meshes including distributed tracing, metrics, and dependency visualization.

Python Performance Optimization

Profiles, analyzes, and accelerates Python code through CPU/memory diagnostics, efficient data structures, and advanced parallelization techniques.

SLO Implementation

Defines and implements Service Level Indicators (SLIs) and Service Level Objectives (SLOs) to establish measurable reliability targets and manage error budgets.

dbt Transformation Patterns

Implements production-ready analytics engineering patterns using dbt for scalable, documented, and tested data transformation pipelines.

Prometheus Configuration

Configures Prometheus for comprehensive metric collection, alerting, and observability across infrastructure and applications.

Distributed Tracing

Implements and configures distributed tracing systems using Jaeger and Tempo to monitor request flows and identify performance bottlenecks across microservice architectures.

Data Storytelling

Transforms raw data into compelling, actionable narratives through structured story frameworks and effective visualization techniques.

LangSmith Fetch

Debugs LangChain and LangGraph agents by fetching and analyzing execution traces directly from LangSmith Studio.

Azure Application Insights Manager (.NET)

Manages Azure Application Insights resources, availability tests, and performance monitoring dashboards using the .NET SDK.

App Insights Instrumentation

Instruments web applications to transmit telemetry and health data to Azure Application Insights for enhanced observability.

Google Analytics Analysis

Analyzes Google Analytics data to provide actionable website performance insights and data-driven optimization recommendations.

Distributed Tracing & Observability

Implements end-to-end request tracking with Jaeger and Tempo to identify performance bottlenecks across distributed systems.

Segment Automation & Customer Data

Automates Segment customer data platform operations to track user events, manage identities, and sync analytics data across your stack.