Analytics & Monitoring Claudeスキル

Google Tag Manager API Automation

Automates Google Tag Manager operations through the REST API v2 for programmatic container management and bulk updates.

GA4 Custom Dimensions & Metrics

Guides the implementation, registration, and troubleshooting of event, user, and item-scoped custom dimensions in Google Analytics 4.

Metrics Tree

Decomposes high-level business metrics into actionable drivers and leading indicators to align product strategy with measurable outcomes.

GTM Data Layer Expert

Implements and manages Google Tag Manager data layers for GA4, e-commerce tracking, and single-page applications.

GTM Variables Configuration

Configures and optimizes Google Tag Manager variables to capture, transform, and manage dynamic data across tracking tags and triggers.

GA4 Measurement Protocol

Implements server-side Google Analytics 4 event tracking for backend applications, CRM integrations, and IoT devices.

Monitoring & Observability Expert

Implements comprehensive observability systems including structured logging, real-time metrics, distributed tracing, and automated alerting.

Performance Analysis & Optimization (Rust)

Analyzes and optimizes Rust application performance through CPU profiling, benchmarking, and memory usage tracking.

Growth Analytics & Dashboard Management

Implements comprehensive KPI frameworks and designs data-driven dashboards to optimize growth metrics and business performance.

SRE & Reliability Engineer

Implements high-availability system practices through SLO management, toil reduction, and automated monitoring strategies.

Growth Analytics Dashboard

Manages KPI frameworks, cohort analysis, and data-driven growth strategies through specialized dashboard designs and predictive modeling.

Rust Performance Optimizer

Analyzes and optimizes Rust application performance through CPU profiling, benchmarking, and detailed memory usage tracking.

Langfuse Prompt and Trace Debugger

Fetches and analyzes Langfuse prompts and traces to debug schema errors, production issues, and AI model behavior.

GTM General Guidance

Provides foundational knowledge and architectural guidance for implementing and managing Google Tag Manager across various environments.

Complex Excel Builder

Builds sophisticated, multi-tab Excel workbooks for financial modeling, operational dashboards, and board-level reporting.

X-CMD System

Performs advanced system administration, performance monitoring, and network configuration through the x-cmd command-line ecosystem.

Network Administration Tools

Streamlines network diagnostics and management through advanced scanning, DNS configuration, and visualized connectivity testing.

Prometheus Configuration & Monitoring

Configures Prometheus for comprehensive metric collection, infrastructure monitoring, and alerting rule management.

Python Performance Optimizer

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

Skill Dependency Mapper

Maps skill relationships and identifies workflow bottlenecks to optimize performance and token usage within the Claude ecosystem.

Skill Performance Profiler

Analyzes skill usage patterns and token consumption to optimize performance and identify consolidation opportunities.

Grafana Dashboards

Creates and manages production-grade Grafana dashboards for real-time visualization of system, infrastructure, and application metrics.

SLO Implementation Framework

Implements Site Reliability Engineering (SRE) practices by defining Service Level Indicators (SLIs), Objectives (SLOs), and error budgets.

Distributed Tracing

Implements end-to-end request tracking across microservices using Jaeger and OpenTelemetry to identify performance bottlenecks.

Monitoring & Observability Strategy

Implements comprehensive monitoring, logging, and observability strategies using industry-standard frameworks like RED, USE, and the Four Golden Signals.

Visualizing Subagents

Generates real-time ASCII diagrams and interactive HTML dashboards to visualize and document complex multi-agent workflows.

Breenix Boot Analysis

Analyzes and optimizes the Breenix kernel boot process from bootloader handoff to the kernel ready state.

Breenix Log Analysis

Analyzes Breenix kernel logs to debug system failures, trace execution flows, and verify kernel test results using specialized search patterns.

Financial Statement Analysis

Calculates and interprets essential financial ratios and metrics from corporate financial data to support investment and performance evaluation.

Troubleshoot

Diagnoses and resolves coding errors and system failures through automated log analysis, environment checks, and structured recovery patterns.