Analytics & Monitoring Habilidades de Claude

KPI Dashboard Design

Architects effective business performance dashboards using metric selection frameworks, visualization best practices, and real-time monitoring patterns.

Karkinos Worker Monitor

Launches a terminal user interface (TUI) to monitor parallel Claude Code worker progress and status in real-time.

Bazzite System Maintenance

Manages Bazzite OS updates, system cleanup, logs, and performance diagnostics through AI-driven commands.

GPU Monitoring for Ollama

Monitors GPU performance, VRAM allocation, and inference metrics for Ollama models to optimize AI workloads.

Laravel Debugging Pro

Systematically diagnoses and resolves complex Laravel application errors using framework-specific troubleshooting patterns and tooling best practices.

Web Instrumentation Planning

Plans comprehensive observability strategies for web applications by prioritizing metrics, errors, and user performance signals.

API Tracing & Observability

Instruments web application API requests with distributed tracing and performance spans to monitor latency and reliability.

User Journey Tracking

Instruments web applications to track user intent, funnel progress, and friction signals for deeper behavioral observability.

Synthetic Performance Monitoring

Implements automated performance testing and proactive monitoring using Lighthouse CI and Playwright to ensure consistent site speed and health.

Wasp Full-Stack Dev Server

Automates the startup and monitoring of Wasp development environments, including database orchestration and browser console integration.

Startup Metrics Framework

Provides a comprehensive framework for tracking, calculating, and optimizing key performance indicators across various startup business models.

Experiment Tracker

Manages A/B testing, feature flags, and data-driven hypothesis validation for Supabase and Expo applications.

Customer Success Manager

Analyzes SaaS customer health, predicts churn risks, and identifies expansion opportunities using weighted scoring models and CLI-based reporting tools.

Product-Market Fit Survey

Implements the Sean Ellis 40% rule to measure product-market fit through targeted user sentiment analysis and segmentation.

Trading Dashboard Symbol Discovery

Automates the discovery and synchronization of trading symbols between reinforcement learning models and monitoring dashboards.

Position Reconciliation

Synchronizes internal trading states with live broker positions to eliminate data drift and ensure execution accuracy.

Trading Dashboard Parallel Lists Pattern

Standardizes the handling of trading signal data structured as parallel lists to prevent dashboard crashes and improve processing efficiency.

Customer Success Manager

Analyzes SaaS customer health, predicts churn risks, and identifies expansion opportunities using weighted scoring models.

SaaS Revenue Operations

Analyzes sales pipelines, tracks forecast accuracy, and calculates GTM efficiency metrics to optimize SaaS revenue growth.

Change Analysis Root Cause Investigation

Identifies the root cause of system failures by systematically comparing the current failed state to a previous problem-free baseline.

KPI Dashboard Design

Design professional KPI dashboards with optimized metrics selection, data visualization patterns, and real-time monitoring structures.

Service Level Objective (SLO) Implementation

Define and implement Service Level Indicators (SLIs), Service Level Objectives (SLOs), and error budgets to maintain high service reliability.

Revenue Operations (RevOps) Analyzer

Analyzes SaaS sales pipelines, tracks forecast accuracy with MAPE, and evaluates GTM efficiency metrics for revenue optimization.

On-Call Handoff Patterns

Facilitates seamless on-call shift transitions with standardized templates and checklists for incident response and context transfer.

Grafana Dashboard Management

Creates and manages production-grade Grafana dashboards for real-time system observability and metric visualization.

Prometheus Configuration

Configures Prometheus for comprehensive metric collection, infrastructure monitoring, and alerting systems.

Service Mesh Observability

Implements comprehensive observability for service meshes using distributed tracing, metrics, and visualization patterns for Istio and Linkerd.

Revenue Operations & SaaS Metrics

Optimizes SaaS revenue performance through automated pipeline analysis, forecast accuracy tracking, and GTM efficiency benchmarking.

Olakai Onboarding & Setup

Guides users through account creation, CLI installation, and initial agent configuration for Olakai observability.

Olakai Implementation Planning

Generates self-contained monitoring and observability roadmaps that persist across AI context resets.