analytics & monitoring Claude 스킬을 발견하세요. 47개의 스킬을 탐색하고 AI 워크플로우에 완벽한 기능을 찾아보세요.
Orchestrates the full lifecycle of Splunk search jobs, enabling automated job creation, status monitoring, and resource management via the REST API.
Facilitates efficient, high-volume streaming data extraction and checkpoint-based resumes from Splunk instances.
Enforces standardized Java logging patterns using CuiLogger and LogRecord for structured, reliable application observability.
Provides standardized logging for AI script execution and semantic work progress tracking within development plans.
Enables comprehensive observability for Claude Code by automatically tracing sessions, LLM calls, and tool usage to Judgeval.
Employs systematic debugging techniques and profiling tools to identify and resolve complex software bugs across multiple tech stacks.
Implements robust Segment Customer Data Platform patterns for client-side and server-side tracking using industry best practices.
Provides a systematic methodology for investigating, logging, and documenting event-driven hook systems within Claude Code environments.
Optimizes Ruby codebases through profiling, benchmarking, and advanced memory management techniques.
Configures comprehensive monitoring, tracing, and alerting for Exa API integrations using Prometheus and OpenTelemetry.
Collects and formats comprehensive diagnostic information for Sentry support tickets and complex error debugging.
Configures comprehensive observability for Vercel integrations using metrics, distributed tracing, and automated alerting.
Implements advanced error tracking and context enrichment using the Sentry SDK to improve application observability.
Implements comprehensive monitoring, distributed tracing, and alerting for Perplexity AI integrations.
Configures Prometheus for end-to-end infrastructure and application monitoring through metric collection, storage, and alerting.
Diagnose and resolve complex FireCrawl integration issues using deep debugging techniques and automated evidence collection.
Implements distributed tracing with Jaeger and Tempo to monitor request flows and optimize performance across microservices.
Automates the collection and redaction of diagnostic evidence for Vast.ai support and troubleshooting.
Instruments LLM API calls to capture high-fidelity observability data including latency, token usage, and costs.
Monitors and records AI agent decision-making processes, tool selections, and reasoning chains for enhanced observability.
Instruments human intervention points to monitor approval workflows, feedback loops, and agent escalations within AI systems.
Instruments AI agent evaluation systems to track response quality, detect hallucinations, and monitor performance through automated and human feedback loops.
Instruments AI agent tool executions to provide deep visibility into function calls, performance metrics, and error handling.
Monitors, debugs, and analyzes Cloudflare Workers performance and errors using real-time logs and metrics.
Manages Ubiquiti UniFi networks directly from Claude Code to monitor health, manage clients, and control hardware devices.
Generates automated weekly logistics KPI reports from shipment and event data files.
Generates detailed execution traces for Python scripts using the native sys.monitoring API with fine-grained event control.
Diagnoses system status and performance metrics to ensure a healthy Linux development environment.
Automates error classification and implements structured retry strategies to handle transient failures and ensure workflow resilience.
Deploys and configures production-ready monitoring stacks including Prometheus, Grafana, and Datadog with automated dashboards and alerting.
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