Analytics & Monitoring Claude 技能

Performance Profiling

Identifies and resolves software bottlenecks through systematic measurement and empirical optimization workflows.

Performance Bottleneck Detector

Diagnoses and resolves application performance issues across CPU, memory, I/O, and database layers to optimize resource utilization.

Database Health Monitor

Monitors PostgreSQL and MySQL health using real-time metrics and predictive alerts to ensure database performance and uptime.

Resource Usage Tracker

Monitors and optimizes application resource consumption including CPU, memory, and network I/O to improve performance and reduce costs.

SLO Implementation Framework

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

Prometheus Configuration

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

Grafana Dashboards

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

Database Health Monitor

Monitors and optimizes PostgreSQL and MySQL performance through real-time metrics, predictive alerts, and automated remediation.

Distributed Tracing

Implements end-to-end request tracking across microservices using Jaeger and Tempo to identify performance bottlenecks and system dependencies.

Database Transaction Monitor

Monitors real-time database health, detects long-running transactions, and identifies lock contention issues using proactive alerting.

Grafana Dashboard Expert

Builds and manages production-ready Grafana dashboards for real-time observability and metric visualization.

Memory Leak Detector

Identifies and resolves memory leaks in code to improve application performance and stability.

Synthetic Monitoring Setup

Automates the configuration of uptime, transaction, and API monitoring to ensure application performance and availability.

Monitoring Stack Deployer

Automates the deployment and configuration of production-ready monitoring stacks including Prometheus, Grafana, and Datadog.

Network Latency Analyzer

Analyzes and optimizes network request patterns to reduce latency and improve application performance.

Project Observability Analyzer

Automates the analysis and integration of logging, metrics, and tracing into existing software applications.

Performance Metrics Aggregator

Centralizes performance metrics from diverse applications and infrastructure into a unified monitoring and alerting system.

Log Aggregation Setup

Automates the deployment and configuration of centralized logging solutions like ELK, Loki, and Splunk for production environments.

Network Latency Analyzer

Analyzes network request patterns and diagnoses latency bottlenecks to optimize application performance and communication efficiency.

Capacity Planning Analyzer

Analyzes infrastructure utilization and forecasts growth trends to provide proactive scaling recommendations and cost estimates.

Log Aggregation Setup

Automates the deployment and configuration of centralized logging infrastructure using ELK, Loki, or Splunk.

Error Rate Monitor

Monitors and analyzes application error rates across HTTP endpoints, databases, and background jobs to improve system reliability.

Plan Guardian

Monitors active development in real-time to detect and prevent architectural drift and scope creep.

Python Performance Optimizer

Optimizes Python application speed and memory efficiency through advanced profiling, benchmarking, and implementation strategies.

OpenTelemetry Observability

Configures and deploys OpenTelemetry pipelines to manage traces, metrics, and logs in Kubernetes environments.

Performance Analyzer

Analyzes frontend applications to identify performance bottlenecks and provides actionable optimizations for bundle size, rendering, and Core Web Vitals.

Systematic Analysis & Insights

Performs comprehensive analysis of code quality, development workflows, and skill effectiveness to generate actionable insights.

Monitoring & Observability

Implements comprehensive monitoring, logging, and observability solutions for data infrastructure and production pipelines.

Logging & Observability

Implements production-grade structured logging, distributed tracing, and metrics collection patterns for robust system monitoring.

Systematic Debugging & Root Cause Analysis

Implements a rigorous diagnostic framework to identify and resolve software bugs through structured hypothesis testing and data validation.