Analytics & Monitoring Claudeスキル

Grafana Dashboards

Create and manage production-ready Grafana dashboards for real-time visualization of system, infrastructure, and application metrics.

Prometheus Configuration

Configures comprehensive Prometheus monitoring environments including metric collection, alerting rules, and service discovery.

Performance Optimizer

Identifies and resolves performance bottlenecks across frontend, backend, and database layers using a data-driven measurement philosophy.

Retention Optimizer Agent

Optimizes customer lifetime value through data-driven cohort analysis, churn prediction models, and engagement loop design.

FastAPI Observability

Implements production-ready structured logging, Prometheus metrics, and OpenTelemetry tracing for FastAPI applications.

Grafana Dashboard Pro

Builds and manages production-grade Grafana dashboards for real-time observability and comprehensive system monitoring.

Metrics & Performance Analytics

Queries Prometheus metrics and analyzes resource usage to optimize platform performance and service health.

Distributed Tracing for Microservices

Implements end-to-end request tracking using Jaeger and Tempo to monitor performance and debug latency across distributed systems.

Advanced Debugging & Error Analysis

Resolves complex software errors using hypothesis-driven frameworks and extended reasoning for Python, JavaScript, and distributed systems.

SLO Implementation Framework

Establishes measurable reliability targets using SLIs, SLOs, and error budgets to balance service stability with innovation velocity.

PostHog Analytics Integration

Implements robust, ad-blocker-proof PostHog analytics with dual client and server-side tracking for web applications.

Metabase Analytics

Queries Metabase dashboards, retrieves business intelligence data, and exports analytics results in CSV or JSON formats.

Home Assistant Energy Architect

Implements advanced energy monitoring, solar integration, and battery optimization patterns for Home Assistant.

Evaluator

Manages privacy-first, anonymous telemetry and user feedback to improve tool performance and identify common usage patterns via GitHub-native integrations.

Alerting & Monitoring

Monitors system health, service status, and resource usage with real-time notifications for infrastructure reliability.

SDR Radio Tuner

Manages and optimizes software-defined radio settings including frequency, gain, and demodulation for WaveCap-SDR.

Python Performance Optimization

Profiles and optimizes Python code to identify bottlenecks, reduce memory consumption, and improve execution speed using industry-standard tools.

Execution Tracker

Manages and reports software implementation progress through real-time task tracking and automated metric calculation.

Global Error Handling

Implements robust error management systems using structured logging, custom exceptions, and graceful degradation strategies to ensure application resilience.

Market Analysis

Generates multi-dimensional stock analysis reports by synthesizing technical indicators, fundamental financials, and real-time sentiment data.

Sentry and OpenTelemetry Setup

Configures comprehensive error tracking and performance monitoring for Next.js applications using Sentry and OpenTelemetry.

Analytics & Reporting Helper

Generates interactive data visualizations, custom report builders, and dashboard KPIs for association management systems.

Distributed Tracing Implementation

Implements comprehensive distributed tracing using Jaeger and Tempo to monitor request flows and optimize microservice performance.

Prometheus Monitoring Configuration

Configures Prometheus for end-to-end infrastructure monitoring, metric scraping, and automated alerting systems.

n8n Building Automation & SkySpark Integration

Automates building system analytics and SkySpark alert triage using n8n multi-agent workflows and FastAPI tool servers.

WaveCap SDR Recipe Builder

Automates the creation and management of multi-channel SDR monitoring configurations for the WaveCap-SDR platform.

Global Error Handling

Implements robust error-handling patterns across API routes, client-side components, and data fetching logic to ensure application stability and graceful failure.

Python Performance Optimization

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

Moai Performance Essentials

Optimizes enterprise application performance using AI-powered bottleneck detection, predictive tuning, and advanced Scalene profiling across 25+ languages.

SLO Implementation

Implements measurable reliability targets using SLIs, SLOs, and error budgets to balance service stability with development velocity.