Analytics & Monitoring Claudeスキル

OpenTelemetry for Go

Implements comprehensive observability in Go applications using OpenTelemetry for distributed tracing, metrics, and logging.

Market Analysis

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

Performance Review

Identifies code performance bottlenecks, evaluates resource efficiency, and provides actionable optimization strategies.

GLM Plan Usage Tracker

Retrieves real-time account usage information and quota statistics for the GLM Coding Plan.

Caveman Process Hunter

Optimizes system performance by identifying and terminating resource-heavy development processes like Next.js, Webpack, and Vite.

Agent Telemetry

Empowers AI coding agents to debug runtime behavior through structured logging and queryable telemetry endpoints.

Intelligent Alerting Rule Creator

Generates comprehensive alerting rules and monitoring thresholds to proactively manage system performance and reliability.

APM Dashboard Creator

Automates the generation of comprehensive Application Performance Monitoring (APM) dashboards for Grafana and Datadog using natural language.

Application Performance Profiler

Analyzes application CPU, memory, and execution time to identify performance bottlenecks and recommend code-level optimizations.

Performance Bottleneck Detector

Detects and resolves performance bottlenecks across CPU, memory, I/O, and database layers to optimize application responsiveness.

Capacity Planning & Growth Analyzer

Analyzes infrastructure utilization and forecasts resource growth to provide actionable scaling recommendations.

CPU Performance Monitor

Monitors and analyzes application CPU usage patterns to identify performance bottlenecks and optimize algorithmic efficiency.

Database Health Monitor

Monitors database health with real-time metrics, predictive alerts, and automated remediation for PostgreSQL and MySQL instances.

Distributed Tracing Setup

Automates the implementation of end-to-end request visibility and observability across microservices architectures.

Error Rate Monitoring & Alerting

Monitors, tracks, and analyzes application error rates to improve software reliability and automate alerting configurations.

Infrastructure Metrics Collector

Automates the collection and visualization of comprehensive infrastructure performance metrics across multi-layer systems and cloud services.

Log Aggregation Setup

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

Log Analysis & Insights

Analyzes application logs to identify performance bottlenecks, recurring error patterns, and resource usage anomalies.

Performance Metrics Aggregator

Aggregates and centralizes performance metrics from diverse systems to streamline observability and real-time monitoring.

Monitoring Stack Deployer

Automates the deployment and configuration of observability tools like Prometheus, Grafana, and Datadog for production-ready environments.

Network Latency & Request Optimizer

Diagnoses and resolves application bottlenecks by optimizing network request patterns, parallelizing API calls, and improving connection management.

Performance Budget Validator

Validates application performance metrics against predefined thresholds to prevent regressions and maintain optimal user experiences.

Performance Optimization Advisor

Analyzes software projects to identify bottlenecks and provide prioritized recommendations for enhancing speed and efficiency across the full stack.

Performance Regression Detector

Identifies and reports performance degradations within CI/CD pipelines by analyzing response times and throughput metrics against historical baselines.

Real User Monitoring (RUM) Setup

Implements Real User Monitoring (RUM) to capture actual user performance data, Core Web Vitals, and custom experience metrics.

Resource Usage Tracker

Monitors and optimizes system resources like CPU, memory, and database connections to improve application performance and reduce infrastructure costs.

Application Response Time Tracker

Monitors and optimizes application performance by tracking latencies across APIs, databases, and background jobs using percentile metrics.

Service Reliability Tracker

Defines and monitors Service Level Agreements (SLAs), Indicators (SLIs), and Objectives (SLOs) to ensure high system reliability and performance.

Synthetic Monitoring Setup

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

System Throughput Analyzer

Analyzes system metrics to identify performance bottlenecks and optimize request, data, and queue throughput.