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。
Streamlines production incident management by providing structured runbook templates and standardized response procedures.
Implements comprehensive monitoring, distributed tracing, and visualization for Istio and Linkerd service mesh environments.
Implements distributed tracing using Jaeger and Tempo to monitor request flows and optimize performance in microservices architectures.
Configures and optimizes Prometheus for robust metric collection, alerting, and observability across infrastructure and applications.
Manages complex GP/LP waterfall distribution models and shortfall-based clawback logic for venture capital funds.
Automates website uptime monitoring and status checks via the Updown.io API using Rube MCP.
Evaluates financial decisions by calculating Net Present Value (NPV) and discounting future cash flows to determine current investment worth.
Identifies and evaluates arbitrage opportunities across markets by analyzing price discrepancies, transaction costs, and structural inefficiencies.
Performs deep self-examination of agent behavior to identify performance friction, recurring patterns, and actionable growth insights.
Monitors and reports the health, freshness, and confidence distribution of learned agentic patterns and internal instincts.
Monitors and remediates the integrity of the cc-soul system to ensure optimal AI agent performance.
Implements comprehensive monitoring, distributed tracing, and visualization for microservice architectures using Istio, Linkerd, and OpenTelemetry.
Systematically improves application speed and responsiveness using measurement-driven frameworks and performance budgets.
Generates comprehensive analytics reports and KPI insights directly from Olakai data using CLI commands.
Diagnoses and resolves issues with Olakai AI agent monitoring, KPI calculations, and SDK integrations.
Integrates Sentry v8 error tracking and performance monitoring into project services to ensure zero-exception observability.
Analyzes and deciphers Claude Code execution traces to debug agent behavior and identify performance bottlenecks.
Tracks LLM token consumption and costs for Convex agents to enable accurate billing and performance monitoring.
Converts Python-based Elasticsearch email reports into interactive Grafana dashboards using Jsonnet with dual-datasource support.
Converts Grafana dashboard JSON exports into maintainable Jsonnet code following standard mixin conventions and modernization practices.
Monitors and logs LLM token consumption to facilitate precise billing, cost analysis, and resource optimization within Convex applications.
Ensures high-quality agent outputs and codebase reliability through real-time truth scoring, automated verification checks, and fail-safe rollback mechanisms.
Maps industry competition by clustering rivals with similar strategies to identify market gaps and mobility barriers.
Implement Service Level Indicators (SLIs) and Service Level Objectives (SLOs) to measure and manage service reliability using SRE best practices.
Reviews code for logging, metrics, tracing, and alerting to ensure systems are observable, debuggable, and production-ready.
Implements comprehensive monitoring, distributed tracing, and visualization for Istio and Linkerd service mesh environments.
Identifies and fixes performance bottlenecks by analyzing algorithms, memory usage, and database queries within your codebase.
Designs and optimizes production-grade observability strategies including SLI/SLO frameworks, alerting systems, and monitoring dashboards.
Automates the management and searching of Splunk knowledge object tags and field-value associations.
Analyzes and optimizes software engineering performance through specialized profiling workflows and OpenClaw-native execution.
Scroll for more results...