Analytics & Monitoring Agent Skills

Go Code Refactoring & Optimization

Refactors complex Go codebases using automated metrics and BAIME-aligned protocols to reduce cyclomatic complexity and improve test coverage.

Technical Debt Management

Transforms subjective code debt into objective, data-driven paydown strategies using the industry-standard SQALE methodology.

Code Coupling Analysis

Analyzes architectural health using the Balanced Coupling framework to generate interactive dependency reports and refactoring insights.

Error Recovery & Diagnosis

Automates the detection, classification, and resolution of system errors using a 13-category taxonomy and systematic recovery patterns.

Observability Instrumentation

Implements the three pillars of observability—structured logging, metrics, and distributed tracing—to provide deep visibility into application health and performance.

Error Recovery & Workflow Optimization

Implements a systematic error-handling methodology using a 13-category taxonomy to diagnose, recover from, and prevent session failures.

Observability Instrumentation

Implements comprehensive logging, metrics, and distributed tracing to ensure production reliability and performance monitoring.

SRE Incident Response

Manages production incidents using SRE methodologies for rapid investigation, mitigation, and postmortem documentation.

Grey Haven Observability & Monitoring

Implements production-grade observability for Cloudflare Workers using structured logging, real-time log streaming, and custom performance metrics.

Performance Optimization

Analyzes and optimizes application performance across algorithms, databases, and frontend frameworks to resolve bottlenecks and reduce latency.

Observability Engineering

Implements production-grade monitoring, logging, and tracing systems to ensure application reliability and performance.

Smart Debugging

Diagnoses complex software errors using automated stack trace analysis and systematic root cause investigation.

Google Tag Manager Expert

Simplifies GTM implementations by providing expert guidance on tags, triggers, variables, and data layer configurations.

Prometheus Go Code Review

Validates Prometheus metrics implementation in Go applications to ensure optimal observability and performance.

Memtrace Allocation Profiler

Profiles and optimizes OCaml memory allocations to eliminate boxing overhead and improve application performance.

Distributed Tracing & Observability

Implements comprehensive request tracking across microservices using Jaeger and Tempo to identify performance bottlenecks and service dependencies.

Technical Debt Analyzer

Identifies, quantifies, and prioritizes technical debt within codebases using ROI-based remediation plans.

Prometheus Configuration

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

SLO Implementation Framework

Implements service reliability targets using SLIs, SLOs, and error budgets to balance innovation velocity with system stability.

Kafka Observability Expert

Implements comprehensive Kafka monitoring using Prometheus and Grafana to track cluster health, consumer lag, and broker performance.

dbt MCP Server Setup

Guides the configuration and troubleshooting of dbt MCP server connections for AI-powered data engineering and analytics workflows.

dbt Cloud Error Troubleshooting

Diagnoses and resolves failures in dbt Cloud and platform jobs using systematic workflows and root cause analysis.

dbt Natural Language Data Querying

Answers complex business questions by intelligently navigating dbt semantic layers, models, and project artifacts.

Grafana Dashboard Engineer

Automates the creation and management of production-grade Grafana dashboards for real-time system and application observability.

CFN Error & Batch Management

Automates error capture, intelligent batching, and structured logging to streamline AI agent recovery and orchestration.

Hawk Job Monitoring

Monitors Hawk job status, retrieves logs, and diagnoses issues for AI evaluation runs within the UK AISI Inspect framework.

Incident Response Framework

Standardizes incident management processes, from initial detection and triage to postmortem analysis and reliability improvements.

SLO, SLI & Error Budget Architect

Guides the definition of reliability targets, selection of service indicators, and implementation of error budget policies.

Hook Event Architecture

Architects robust, hook-based event systems to monitor and broadcast real-time AI agent activities within Claude Code workflows.

Distributed Tracing & Observability

Implements and debugs request flows across microservices using OpenTelemetry standards and distributed tracing patterns.