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。
Systematically tracks and optimizes the specialization of AI agents within workflows to improve performance and reusability.
Quantifies and manages technical debt using the SQALE methodology to prioritize refactoring and establish objective code quality benchmarks.
Analyzes Render deployment failures and service errors to provide actionable fixes through log analysis, metrics, and database diagnostics.
Analyzes architectural health using the Balanced Coupling framework to generate interactive dependency reports and refactoring insights.
Monitors Render cloud services in real-time by tracking health, performance metrics, logs, and resource usage.
Validates Prometheus metrics implementation in Go applications to ensure optimal observability and performance.
Simplifies GTM implementations by providing expert guidance on tags, triggers, variables, and data layer configurations.
Analyzes TAKT pieces and facets to detect structural issues, style guide violations, and execution inefficiencies.
Implements comprehensive Kafka monitoring using Prometheus and Grafana to track cluster health, consumer lag, and broker performance.
Implements service reliability targets using SLIs, SLOs, and error budgets to balance innovation velocity with system stability.
Configures Prometheus for comprehensive metric collection, alerting, and observability across infrastructure and applications.
Implements comprehensive request tracking across microservices using Jaeger and Tempo to identify performance bottlenecks and service dependencies.
Automates error capture, intelligent batching, and structured logging to streamline AI agent recovery and orchestration.
Answers complex business questions by intelligently navigating dbt semantic layers, models, and project artifacts.
Profiles and optimizes OCaml memory allocations to eliminate boxing overhead and improve application performance.
Automates New Relic observability tasks including APM monitoring, alert management, and NRQL dashboard creation via Rube MCP.
Automates IP intelligence and geolocation lookups to enhance security, analytics, and user localization workflows.
Automates error tracking, incident management, and bug reporting workflows within Bugsnag using Rube MCP and Composio.
Automates no-code stack monitoring, governance, and management workflows through the Ncscale platform via Rube MCP.
Automates developer productivity metrics and time tracking workflows via the Wakatime API and Rube MCP.
Visualizes entity relationships, project timelines, and database statistics through an interactive terminal interface.
Automates the creation and management of production-grade Grafana dashboards for real-time system and application observability.
Streamlines the integration of AI providers into the OpenUsage dashboard for unified spend and usage tracking.
Identifies, quantifies, and prioritizes technical debt within codebases using ROI-based remediation plans.
Guides the configuration and troubleshooting of dbt MCP server connections for AI-powered data engineering and analytics workflows.
Diagnoses and resolves failures in dbt Cloud and platform jobs using systematic workflows and root cause analysis.
Provides a simple greeting response to verify skill connectivity and facilitate usage tracking diagnostics.
Analyzes and optimizes JavaScript bundle sizes to improve web application performance and load times.
Enables comprehensive audit trails and structured logging for Docker-based Claude Flow Novice (CFN) agent execution.
Visualizes Rust project dependencies and coupling metrics through an interactive web interface to identify architectural hotspots.
Scroll for more results...