analytics & monitoring Claude 스킬을 발견하세요. 47개의 스킬을 탐색하고 AI 워크플로우에 완벽한 기능을 찾아보세요.
Queries and analyzes OpenSearch trace data using PPL to monitor GenAI agent performance and system latency.
Queries and analyzes Prometheus metrics using PromQL to monitor HTTP performance, database latency, and GenAI token usage.
Queries OpenSearch Dashboards APIs to manage workspaces, index patterns, and observability configurations.
Monitors and troubleshoots OpenSearch observability stack components to ensure data ingestion and system reliability.
Correlates traces, logs, and metrics using OpenTelemetry semantic conventions for end-to-end observability investigations.
Provides a comprehensive reference for Piped Processing Language (PPL) to build and execute OpenSearch observability queries.
Identifies high-impact product growth opportunities by systematically analyzing Amplitude analytics, experiments, and customer feedback.
Automates the auditing and generation of missing event descriptions in Amplitude projects at scale using orchestrated subagents.
Identifies and resolves software bottlenecks using language-specific profiling, caching strategies, and database query optimization.
Implements structured logging and observability patterns for Script Kit GPUI development.
Build agentic finance applications, access 250+ market data sources, and deploy automated trading strategies.
Launches and manages a local web dashboard to visualize AI workflows, agent streams, and project dependencies in real-time.
Implements interactive, themed Recharts visualizations using shadcn/ui components and standardized design patterns.
Implement comprehensive observability through metrics tracking, structured logging, and automated alerting systems.
Standardizes sales performance measurement using frameworks for leading and lagging indicators, capacity modeling, and SaaS benchmarks.
Provides instant access to KPI definitions, formulas, and validation status within your Claude Code environment.
Persists completed data analysis results to a knowledge archive for long-term storage and retrieval.
Manages and analyzes past data pipeline runs to track performance, compare results, and maintain project cleanliness.
Adapts analytical findings into tailored formats for executives, product managers, engineers, and data teams to ensure insights are actionable and relevant.
Identifies missing data points and generates instrumentation requests to improve analytics coverage and data visibility.
Standardizes data metric definitions to ensure clarity in calculations, segmentation, and business interpretation.
Records and categorizes analytical mistakes to build a persistent knowledge base that prevents recurring errors in future analyses.
Validates data pipelines and generates automated quality reports using Great Expectations patterns.
Diagnoses and monitors the operational status of integrated Text-to-Speech engines and Telegram bot subsystems on Apple Silicon.
Diagnoses and resolves common Text-to-Speech and Telegram bot issues using systematic health checks and automated recovery patterns.
Implements automated data validation, quality monitoring, and integrity checks for reliable data pipelines.
Implements professional rebalancing strategies to maintain target asset allocations while optimizing for taxes and transaction costs.
Analyzes application performance and identifies bottlenecks to optimize critical code paths and reduce system latency.
Optimizes securities trading by guiding best execution compliance, algorithm selection, and transaction cost analysis (TCA).
Implements distributed tracing with correlation IDs and span tracking to monitor request flows across microservices.
Scroll for more results...