Descubre Habilidades de Claude para analytics & monitoring. Explora 47 habilidades y encuentra las capacidades perfectas para tus flujos de trabajo de IA.
Implements systematic problem-solving frameworks like the 5 Whys and Fishbone diagrams to identify the underlying source of software bugs and system incidents.
Analyzes Claude Code session errors to identify recurring patterns and provide automated troubleshooting insights.
Analyzes and resolves application bottlenecks across the full stack, from database queries to frontend bundle sizes and Core Web Vitals.
Optimizes AI performance by managing usage analytics, learned patterns, and privacy settings within the OrchestKit ecosystem.
Monitors LLM application quality and input distribution shifts to detect performance degradation in production environments.
Detects and alerts on non-error LLM agent failures including tool skipping, infinite loops, and degraded output quality.
Implements production-ready React dashboard architectures featuring responsive layouts, real-time data widgets, and advanced TanStack tables.
Manages OrchestKit's self-learning feedback system and anonymous usage analytics with a focus on privacy and user control.
Automatically improves AI skill definitions by analyzing usage patterns, success rates, and manual user edits.
Defines and implements goal-setting frameworks, performance indicators, and measurement trees to align teams and track organizational success.
Implements professional-grade LLM observability using Langfuse for distributed tracing, cost monitoring, prompt management, and quality evaluation.
Employs systematic debugging methodologies like the 5 Whys and Fishbone diagrams to identify the underlying sources of software failures and incidents.
Monitors and analyzes LLM token usage and cache effectiveness to optimize costs in multi-agent AI systems.
Optimizes application speed and resource usage across the full stack through profiling, database tuning, and frontend analysis.
Builds production-grade, accessible data visualizations and interactive dashboards using Recharts 3.x and React.
Detects and alerts on hidden LLM agent failures such as tool skipping, infinite loops, and degraded output quality.
Streamlines incident management by classifying severity, coordinating response teams, and documenting resolution timelines in real-time.
Generates executive-ready marketing performance reports and actionable strategic insights from multi-channel data pipelines.
Provides rapid incident classification, severity assessment, and automated response coordination for system outages and production issues.
Coordinates rapid incident classification, severity assessment, and response workflows to minimize system downtime.
Generates professional SDLC reports and metrics dashboards to track project health, velocity, and delivery status.
Generates production-grade PromQL queries using an interactive workflow that ensures monitoring best practices and accurate metric analysis.
Validates, optimizes, and explains Prometheus Query Language (PromQL) queries to ensure observability data is accurate and efficient.
Validates, lints, and audits Fluent Bit configurations for syntax correctness, security vulnerabilities, and performance optimizations.
Generates optimized, production-ready Grafana Loki queries for log analysis, alerting, and observability dashboards.
Generates production-ready Fluent Bit configurations for logs, metrics, and traces using industry best practices.
Generates production-grade Grafana Loki server configurations optimized for performance, scalability, and the latest v3.x standards.
Validates Claude Code session behavior against SKILL.md specifications to ensure correct execution of agents, hooks, and tools.
Monitors active development in real-time to detect and prevent architectural drift and scope creep from the original project plan.
Identifies and resolves Elixir and Phoenix bugs using literal error analysis, parallel deep-dives, and automated runtime context capture.
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