Analytics & Monitoring Agent Skills

Trading Dashboard P&L Visualization

Enhances trading dashboards with comprehensive P&L tracking, R-multiple visualizations, and win-rate overlays.

Observability Lead

Analyzes and documents project observability practices including logging, metrics, tracing, and alerting thresholds.

Real User Monitoring (RUM)

Implements and configures Real User Monitoring to track Core Web Vitals and actual user-centric performance metrics.

GrepAI Health Check

Diagnoses and reports the operational status of all GrepAI components including Docker services, vector databases, and MCP registration.

Conversation Analysis

Analyzes conversation history to extract behavioral signals, identify recurring patterns, and synthesize actionable insights.

Application Response Time Tracker

Monitors and analyzes application latency across APIs, databases, and frontend components to identify and resolve performance bottlenecks.

Track Equity Cumulative Return

Analyzes and visualizes cumulative stock and index performance against the S&P 500 benchmark using historical Yahoo Finance data.

Requirement-Based Observability Config

Configures requirement-level observability for Datadog, Prometheus, and Splunk to track SLAs and performance metrics.

IES Environment Orchestrator & Social Analyst

Orchestrates polyglot development environments with deterministic identity coloring and advanced social data analysis using DuckDB.

Trading Cost & Net RR Optimizer

Calculates the nonlinear impact of trading commissions and spreads on net risk-reward ratios and strategy efficiency.

Python Performance Optimization

Profiles, analyzes, and optimizes Python code to eliminate bottlenecks and improve application efficiency.

Production Telemetry Tagging

Tags production logs, metrics, and traces with requirement identifiers to enable full-cycle traceability from runtime issues to business intent.

Bugsnag Integration

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

Advanced Debugging & Error Analysis

Resolves complex software errors using hypothesis-driven frameworks and extended reasoning for Python, JavaScript, and distributed systems.

Alerting Rule Creator

Automates the configuration of intelligent monitoring alerts, escalation policies, and diagnostic runbooks for system observability.

Grafana Dashboard Expert

Design and manage production-ready Grafana dashboards for real-time observability and system monitoring.

Distributed Tracing & Observability

Implements end-to-end request tracking and performance monitoring across microservice architectures using Jaeger, Tempo, and OpenTelemetry.

Python Observability Patterns

Implements structured logging, metrics collection, and distributed tracing for Python applications to improve production visibility.

KPI Dashboard Design

Designs data-driven KPI dashboards with optimized metric selection, visualization patterns, and real-time monitoring layouts.

Prometheus Configuration & Monitoring

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

SLO & Reliability Engineering

Implements Service Level Objectives (SLOs) and error budgets to balance service reliability with development velocity.

Python Performance Optimization

Optimizes Python applications by identifying bottlenecks through comprehensive profiling and implementing high-efficiency coding patterns.

Service Mesh Observability

Implements comprehensive monitoring, distributed tracing, and visualization for Istio and Linkerd service mesh architectures.

Startup Metrics Framework

Provides comprehensive formulas, benchmarks, and strategic guidance for tracking and optimizing key performance metrics across various startup business models.

Service Reliability Tracker

Establishes and monitors Service Level Agreements (SLAs) and Objectives (SLOs) to ensure peak service performance and reliability.

Log Analysis Tool

Analyzes application logs to pinpoint performance bottlenecks, detect error patterns, and streamline debugging processes.

Application Performance Profiler

Analyzes application performance to identify CPU bottlenecks, memory leaks, and execution inefficiencies across various tech stacks.

Performance Optimization Advisor

Provides comprehensive, prioritized recommendations to identify and resolve performance bottlenecks across software architectures.

Python Performance Optimization

Optimizes Python application performance through advanced profiling, memory management, and efficient coding patterns.

Alerting Rule Creator

Automates the generation of intelligent performance monitoring rules and escalation policies for production systems.