analytics & monitoring Claude 스킬을 발견하세요. 51개의 스킬을 탐색하고 AI 워크플로우에 완벽한 기능을 찾아보세요.
Emits structured, searchable workflow events to provide cross-project visibility and execution tracking.
Extracts actionable insights, patterns, and errors from operational logs using type-specific analysis templates.
Monitors and analyzes the health, performance, and metrics of deployed cloud infrastructure to prevent incidents and optimize resource usage.
Detects and analyzes inefficient agent chain anti-patterns to optimize context usage and architectural performance.
Analyzes code for performance bottlenecks and anti-patterns like N+1 queries and nested loops to ensure high-performance production releases.
Master professional root cause analysis and profiling techniques to solve complex software bugs using a scientific methodology.
Profiles and optimizes Python code to eliminate bottlenecks, reduce memory usage, and improve application execution speed.
Defines and implements Service Level Indicators (SLIs) and Service Level Objectives (SLOs) to establish measurable reliability targets.
Generates and manages production-ready Grafana dashboards for real-time system observability and metrics visualization.
Implements distributed tracing with Jaeger and Tempo to track requests across microservices and identify performance bottlenecks.
Configures and optimizes Prometheus for robust metric collection, alerting, and observability across diverse infrastructure and applications.
Generates structured Markdown summaries of Claude Code session logs to capture technical decisions, accomplishments, and file changes.
Implements comprehensive distributed tracing using Jaeger and Tempo to monitor request flows and resolve performance bottlenecks in microservices.
Automates multi-channel alerts via Telegram and Pushover for watchexec events and process restarts.
Configures Prometheus for comprehensive metric collection, alerting, and infrastructure monitoring.
Generates and manages production-grade Grafana dashboards for real-time observability of system and application metrics.
Generates structured weekly earnings reports for US stocks with market caps over $2B using real-time Financial Modeling Prep data.
Master systematic debugging techniques and root cause analysis to efficiently resolve bugs and performance issues across any tech stack.
Analyzes financial news events from the past 10 days to evaluate their impact on global equity markets, commodities, and interest rate regimes.
Defines and implements measurable reliability targets using Service Level Indicators (SLIs) and Service Level Objectives (SLOs).
Implements comprehensive Sentry v8 error tracking and performance monitoring across project services to ensure no error goes unrecorded.
Identifies high-quality dividend growth stocks experiencing temporary price pullbacks to find optimal long-term investment entry points.
Automates the creation of standardized, validated log files using type-specific templates and automatic sensitive data redaction.
Simplifies data visualization in Svelte by managing scales, coordinate systems, and responsive dimensions across SVG, Canvas, and HTML contexts.
Reduces user churn and improves long-term retention through detailed cohort analysis, predictive health scoring, and actionable win-back strategies.
Analyzes and optimizes parallel development workflows to maximize execution speed and minimize operational costs.
Parses and extracts data from Gemini CLI programmatic output, including token usage, tool call statistics, and stream-JSON events.
Implements critical console logging and error visibility to ensure AI agents can observe application state and self-correct.
Optimizes backend application performance using advanced caching, load balancing, and database scaling strategies.
Configures Grafana Loki logging for Python and Flask applications using the mazza-base library for structured observability.
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