analytics & monitoring向けのClaudeスキルを発見してください。47個のスキルを閲覧し、AIワークフローに最適な機能を見つけましょう。
Analyzes Claude Code sessions and git history to generate actionable retrospective reports for continuous workflow improvement.
Analyzes git history to quantify unplanned work, identify interrupt hotspots, and measure the impact of technical debt on team velocity.
Configures comprehensive Prometheus monitoring for infrastructure and applications, including metric collection, alerting rules, and service discovery.
Defines and implements Service Level Indicators (SLIs) and Objectives (SLOs) to manage service reliability and error budgets effectively.
Implements distributed tracing with Jaeger and Tempo to monitor cross-service request flows and identify performance bottlenecks.
Profiles and optimizes Python code to eliminate execution bottlenecks and improve resource efficiency.
Creates and manages production-ready Grafana dashboards for real-time visualization of system, infrastructure, and application metrics.
Implements end-to-end request tracking across microservices using Jaeger and Tempo to identify performance bottlenecks and service failures.
Implements distributed tracing with Jaeger and Tempo to monitor microservice request flows and pinpoint performance bottlenecks.
Creates and manages production-grade Grafana dashboards for real-time system observability and metric visualization.
Configures Prometheus for comprehensive metric collection, infrastructure monitoring, and automated alerting systems.
Optimizes Python application performance through comprehensive profiling, memory analysis, and implementation of high-efficiency code patterns.
Designs and manages production-ready Grafana dashboards for real-time observability and comprehensive system monitoring.
Defines and implements measurable service level objectives and error budgets to optimize system reliability and engineering velocity.
Implements end-to-end request tracking across microservices using Jaeger and Tempo to identify performance bottlenecks and debug complex distributed systems.
Identifies and resolves performance bottlenecks in Python code using advanced profiling tools and high-efficiency implementation patterns.
Configures Prometheus for comprehensive metric collection, alerting, and observability across infrastructure and applications.
Analyzes and optimizes Claude Flow swarm performance by detecting bottlenecks and providing actionable AI-powered recommendations.
Defines and implements Service Level Indicators (SLIs) and Objectives (SLOs) to measure and maintain service reliability.
Profiles and optimizes Python codebases using advanced diagnostic tools and proven efficiency patterns.
Defines and implements Service Level Indicators (SLIs) and Service Level Objectives (SLOs) with error budgets to ensure system reliability.
Configures Prometheus for comprehensive metric collection, alerting, and monitoring of infrastructure and applications.
Integrates NWEA MAP Growth assessment data into the KCIS Learning Management System for tracking student progress and benchmarks.
Builds and manages production-ready Grafana dashboards for real-time system observability and performance monitoring.
Monitors and analyzes Claude Code token usage, budget status, and context window health to optimize session performance.
Configures sophisticated chart axis mappings and visual display options for Drizzle Cube data visualizations.
Generates comprehensive ecosystem progress reports and efficiency metrics to document development achievements and ROI.
Configures automated Sentry error monitoring and Discord alerting for the Jomonsho platform.
Tracks and measures navigation performance across modern web frameworks to optimize user experience and page speed.
Implements a complete three-pillar observability solution for Amazon EKS using AWS-native managed services and modern OpenTelemetry standards.
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