analytics & monitoring Claude 스킬을 발견하세요. 47개의 스킬을 탐색하고 AI 워크플로우에 완벽한 기능을 찾아보세요.
Monitors and retrieves detailed conversation logs and transcripts for Vocal Bridge voice agents.
Analyzes and parses log files to identify patterns, extract errors, and troubleshoot application behavior using advanced filtering and search tools.
Analyzes and validates business opportunities through quantitative market frameworks and detailed financial modeling.
Manages PostHog feature flags, cohorts, and analytics dashboards directly through the Piglet CLI interface.
Streamlines bug investigation by fetching Sentry error context and automating root cause analysis directly within the codebase.
Verifies code behavior through automated log injection and systematic runtime execution analysis.
Implements and tests LLM provider and agentic framework integrations for the Braintrust Ruby SDK using standardized tracing patterns and TDD workflows.
Analyzes Breenix kernel logs to debug system failures, trace execution flows, and verify kernel test results using specialized search patterns.
Designs professional Apache Superset dashboards using optimized layouts, intuitive navigation patterns, and data storytelling principles for financial and operational monitoring.
Optimizes SQL queries for Apache Superset datasets and SQL Lab while providing specialized patterns for Finance SSC and Odoo integrations.
Coordinates and formats structured Holo output and telemetry to ensure consistent, actionable communication across multiple AI agents.
Optimizes Apache Superset visualizations by providing expert guidance on chart selection, configuration, and performance tuning for financial and business intelligence reporting.
Calculates and interprets essential financial ratios and metrics from corporate financial data to support investment and performance evaluation.
Analyzes codebase size, language composition, and structural changes using Tokei and Difftastic.
Enhances your Claude Code terminal with a real-time HUD displaying rate limits, session metrics, and active skill status.
Implements robust structured logging, metrics collection, and distributed tracing for production-ready Python applications.
Analyzes Git commit history to identify bug fix patterns, extract root causes, and generate actionable postmortem insights.
Analyzes code bottlenecks and implements systematic performance optimizations using data-driven profiling and optimization workflows.
Instruments web applications to send telemetry and health data to Azure Application Insights for enhanced observability.
Verifies the installation, configuration, and health of the Agent Memory system through manual command guidance.
Implements production-grade error handling patterns for React applications to ensure fault tolerance and seamless user experiences.
Designs and manages production-grade Grafana dashboards for real-time system observability and metric visualization.
Defines and implements Service Level Indicators (SLIs) and Service Level Objectives (SLOs) to balance reliability with development velocity.
Implements end-to-end request tracking using Jaeger and Tempo to monitor microservice performance and resolve complex system bottlenecks.
Configures Prometheus for comprehensive metric collection, infrastructure monitoring, and automated alerting systems.
Analyzes and searches historical conversation logs to retrieve context and track agent usage metrics using jq and ripgrep.
Analyzes code changes to detect performance regressions by comparing response times, query counts, and memory usage between branches.
Automates Toshl Finance data synchronization and generates detailed monthly financial reports for strategic budget management.
Analyzes Pyroscope profiling data using profilecli to identify and optimize performance bottlenecks in your source code.
Diagnoses and resolves installation, configuration, and daemon issues for the Agent Memory system.
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