analytics & monitoring向けのClaudeスキルを発見してください。54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。
Configures and optimizes Home Assistant sensor entities, templates, and analytics for advanced smart home monitoring.
Configures Prometheus for comprehensive metric collection, alerting, and infrastructure monitoring.
Establishes measurable reliability targets through SLIs, SLOs, and error budgets to balance operational stability with feature velocity.
Designs and manages production-ready Grafana dashboards for real-time system and application observability.
Profiles and optimizes Python code to identify bottlenecks, reduce memory consumption, and improve execution speed using industry-standard tools and patterns.
Implement distributed tracing with Jaeger and Tempo to monitor microservices performance and visualize request flows across complex systems.
Integrates Sentry's powerful error tracking and issue monitoring capabilities directly into Claude Code for real-time debugging and project health insights.
Configures multi-dimensional radar and spider charts for Drizzle Cube dashboards to compare complex metrics across categories.
Records and manages a comprehensive audit trail of skill executions within the Betty framework for monitoring and compliance.
Automates Python performance analysis using advanced profiling tools, memory tracking, and benchmarking strategies.
Implements robust observability patterns, metric instrumentation, and service level objective (SLO) tracking for reliable systems.
Implements production-grade structured logging, OpenTelemetry tracing, and LLM-specific metrics tracking for AI applications.
Captures comprehensive execution metrics and performance data for Betty Framework components to provide deep system observability.
Configures hierarchical treemap visualizations for Drizzle Cube dashboards to represent complex, nested data structures as proportional rectangles.
Configures detailed scatter plots and correlation visualizations within Drizzle Cube dashboards.
Builds and executes semantic analytics queries using measures, dimensions, and advanced temporal filtering.
Configures radial bar charts and circular progress indicators for Drizzle Cube data dashboards.
Ensures methodological and philosophical alignment in qualitative research by auditing language, analytical decisions, and AI interaction patterns.
Tags production logs, metrics, and traces with requirement identifiers to enable full-cycle traceability from runtime issues to business intent.
Configures requirement-level observability for Datadog, Prometheus, and Splunk to track SLAs and performance metrics.
Optimizes Python code for speed and memory efficiency using advanced profiling tools and industry-standard best practices.
Monitors and manages production errors by integrating Bugsnag tracking and reporting capabilities directly into Claude.
Defines and implements Service Level Indicators (SLIs) and Service Level Objectives (SLOs) to establish measurable reliability targets.
Configures comprehensive Prometheus monitoring systems for robust infrastructure and application metric collection.
Discovers and documents Mozilla telemetry probes and Glean metrics across Firefox products.
Implements and configures OpenTelemetry observability pipelines for Kubernetes environments, including traces, metrics, and logs.
Monitors and analyzes Claude Code skill usage to optimize token consumption and workflow efficiency.
Monitors PAI multi-agent activity in real-time through a live WebSocket-powered dashboard for debugging and workflow visualization.
Optimizes software performance through systematic profiling, rigorous benchmarking, and evidence-based bottleneck identification.
Analyzes conversation history to extract behavioral signals, identify recurring patterns, and synthesize actionable insights.
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