Analytics & Monitoring Habilidades de Claude

Session Retrospective

Analyzes Claude Code sessions and git history to generate actionable retrospective reports for continuous workflow improvement.

Forensic Unplanned Work Analysis

Analyzes git history to quantify unplanned work, identify interrupt hotspots, and measure the impact of technical debt on team velocity.

Prometheus Configuration

Configures comprehensive Prometheus monitoring for infrastructure and applications, including metric collection, alerting rules, and service discovery.

Bugsnag Integration

Monitors and manages production errors by integrating Bugsnag tracking and reporting capabilities directly into Claude.

SLO Implementation & Monitoring

Defines and implements Service Level Indicators (SLIs) and Objectives (SLOs) to manage service reliability and error budgets effectively.

Diverga System Doctor

Performs comprehensive system diagnostics and automated health checks for the Diverga plugin environment.

Distributed Tracing for Microservices

Implements distributed tracing with Jaeger and Tempo to monitor cross-service request flows and identify performance bottlenecks.

Diverga Research HUD

Manages a real-time terminal statusline to monitor research progress, checkpoint completion, and AI context memory health.

Python Performance Optimization

Profiles and optimizes Python code to eliminate execution bottlenecks and improve resource efficiency.

Grafana Dashboard Management

Creates and manages production-ready Grafana dashboards for real-time visualization of system, infrastructure, and application metrics.

Distributed Tracing & Observability

Implements end-to-end request tracking across microservices using Jaeger and Tempo to identify performance bottlenecks and service failures.

Distributed Tracing

Implements distributed tracing with Jaeger and Tempo to monitor microservice request flows and pinpoint performance bottlenecks.

Grafana Dashboards

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

Prometheus Configuration & Monitoring

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

Python Performance Optimization

Optimizes Python application performance through comprehensive profiling, memory analysis, and implementation of high-efficiency code patterns.

Grafana Dashboard Pro

Designs and manages production-ready Grafana dashboards for real-time observability and comprehensive system monitoring.

Token Usage Tracker

Monitors and reports AI token consumption and context window availability within Claude sessions.

AGET Evolution Health Check

Monitors and validates the health of AGET evolution directories by auditing file patterns, disk usage, and index integrity.

AGET Evolution Monitor

Monitors and validates the health of the .aget/evolution/ directory to ensure structural integrity and resource efficiency.

AGET Evolution Health Monitor

Monitors and validates the health of the .aget/evolution directory by checking file conventions, disk usage, and index integrity.

AGET Evolution Monitor

Monitors and validates the health of the .aget/evolution directory to ensure structural integrity and naming compliance.

SLO & Reliability Implementation

Defines and implements measurable service level objectives and error budgets to optimize system reliability and engineering velocity.

Distributed Tracing & Observability

Implements end-to-end request tracking across microservices using Jaeger and Tempo to identify performance bottlenecks and debug complex distributed systems.

Kakutey System Health Check

Verifies the operational status of the Kakutey bookkeeping application's backend and frontend services.

Python Performance Optimization

Identifies and resolves performance bottlenecks in Python code using advanced profiling tools and high-efficiency implementation patterns.

Prometheus Configuration & Monitoring

Configures Prometheus for comprehensive metric collection, alerting, and observability across infrastructure and applications.

Performance Analysis for Claude Flow

Analyzes and optimizes Claude Flow swarm performance by detecting bottlenecks and providing actionable AI-powered recommendations.

SLO Implementation & Monitoring

Defines and implements Service Level Indicators (SLIs) and Objectives (SLOs) to measure and maintain service reliability.

Python Performance Optimization

Profiles and optimizes Python codebases using advanced diagnostic tools and proven efficiency patterns.

SLO Implementation & SRE Framework

Defines and implements Service Level Indicators (SLIs) and Service Level Objectives (SLOs) with error budgets to ensure system reliability.