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。
Captures snapshots, video clips, and motion events from RTSP and ONVIF network cameras directly from the command line.
Profiles and optimizes Python code to identify bottlenecks, reduce memory consumption, and improve execution speed using industry-standard tools.
Configures and deploys OpenTelemetry pipelines to manage traces, metrics, and logs in Kubernetes environments.
Implements end-to-end request tracking using Jaeger and Tempo to monitor performance and debug latency across distributed systems.
Writes and refactors TypeScript and JavaScript code according to Metabase coding standards and best practices.
Builds and manages production-grade Grafana dashboards for real-time observability and comprehensive system monitoring.
Configures Elasticsearch for robust audit logging, full-text search, and real-time analytics within Node.js environments.
Analyzes web application performance using Core Web Vitals, bundle inspection, and runtime profiling to identify and resolve bottlenecks.
Automates A/B testing and statistical validation for safe workflow experimentation and self-improving AI behaviors.
Monitors and displays real-time execution progress, task queues, and performance statistics for Professor Frink automation workflows.
Optimizes Python application speed and memory efficiency through advanced profiling, benchmarking, and implementation strategies.
Monitors active development in real-time to detect and prevent architectural drift and scope creep.
Monitors and analyzes application error rates across HTTP endpoints, databases, and background jobs to improve system reliability.
Automates the deployment and configuration of centralized logging infrastructure using ELK, Loki, or Splunk.
Instruments and diagnoses performance bottlenecks in OpenWebF applications within the Flutter ecosystem.
Implements robust error-handling patterns across API routes, client-side components, and data fetching logic to ensure application stability and graceful failure.
Analyzes application bottlenecks and implements cross-stack optimizations to improve speed, efficiency, and resource usage.
Optimizes Windsurf service costs through automated tier analysis, usage monitoring, and strategic resource management.
Analyzes infrastructure utilization and forecasts growth trends to provide proactive scaling recommendations and cost estimates.
Analyzes network request patterns and diagnoses latency bottlenecks to optimize application performance and communication efficiency.
Automates the deployment and configuration of centralized logging solutions like ELK, Loki, and Splunk for production environments.
Streamlines production incident response and error triage using Sentry’s monitoring and alerting ecosystem.
Generates comprehensive diagnostic bundles and minimal reproduction scripts to troubleshoot LangChain application issues.
Manages and executes incident response procedures for Juicebox service integrations and production outages.
Automates the collection of diagnostic data and environment logs for troubleshooting Perplexity SDK and API issues.
Centralizes performance metrics from diverse applications and infrastructure into a unified monitoring and alerting system.
Diagnoses complex Exa service issues using deep debugging techniques, automated log collection, and systematic isolation frameworks.
Automates the analysis and integration of logging, metrics, and tracing into existing software applications.
Integrates comprehensive error handling and performance monitoring across services using industry-standard patterns for Sentry, Datadog, and other monitoring solutions.
Analyzes and optimizes network request patterns to reduce latency and improve application performance.
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