Analytics & Monitoring Claudeスキル

Distributed Tracing & Observability

13

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

Prometheus Configuration

13

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

SLO Implementation Framework

13

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

Kafka Observability Expert

13

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

dbt Cloud Error Troubleshooting

13

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

CFN Error & Batch Management

13

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

Observability Patterns

12

Implements comprehensive observability strategies using logs, metrics, and traces to improve system reliability and debugging.

Swimlane Visualization Designer

12

Design and implement real-time swimlane UI patterns to visualize AI Developer Workflow (ADW) execution and agent activity.

Latency Optimization

12

Optimizes end-to-end performance and reduces response times across distributed systems by tuning network protocols, application logic, and database layers.

Bundle Size Optimizer

12

Analyzes and optimizes JavaScript bundle sizes to improve web application performance and load times.

Incident Response Framework

12

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

Distributed Tracing & Observability

12

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

Hook Event Architecture

12

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

SLO, SLI & Error Budget Architect

12

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

Docker Memory Analytics & Monitoring

12

Monitors and reports real-time memory usage for Dockerized Claude agents to prevent system crashes and optimize resource allocation.

Hawk Job Monitoring

12

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

CFN Bash Utilities

12

Provides standardized bash utility functions for structured logging, error handling, and resilient file operations in AI workflows.

Web Visualization for Cargo Coupling

12

Visualizes Rust project dependencies and coupling metrics through an interactive web interface to identify architectural hotspots.

CFN Docker Logging

12

Enables comprehensive audit trails and structured logging for Docker-based Claude Flow Novice (CFN) agent execution.

SAP Analytics Cloud Scripting

11

Develops, debugs, and optimizes advanced scripts for SAP Analytics Cloud stories and analytics applications.

Retention Optimizer Agent

11

Optimizes post-PMF customer retention, lifetime value, and engagement through data-driven analysis and predictive modeling.

Web Performance Optimization

11

Optimizes web application performance through code splitting, lazy loading, caching strategies, and Core Web Vitals monitoring.

Logging Best Practices

11

Implements secure, structured logging with proper levels, context tracking, and PII sanitization for production-ready applications.

SAP Analytics Cloud Planning

11

Streamlines the development of enterprise-grade SAP Analytics Cloud planning applications, data actions, and automated financial workflows.

SAP BTP Cloud Logging

11

Configures and manages SAP Cloud Logging instances on SAP BTP for advanced observability, including log ingestion, metrics analysis, and OpenSearch dashboard setup.

Performance & Resource Monitoring

Monitors and optimizes CPU and GPU utilization to prevent resource exhaustion and manage computational costs during development.

MECW Context Management

Optimizes LLM accuracy by monitoring context pressure and enforcing the 50% Maximum Effective Context Window rule to prevent hallucinations.

Quantitative Management & SDLC Metrics

Implements data-driven engineering management through statistical process control, DORA metrics, and CMMI-aligned measurement frameworks.

Enterprise Risk Manager

Assesses, models, and mitigates enterprise risks through comprehensive compliance frameworks and advanced stress testing.

MemBrowse Embedded Memory Tracking

Integrates MemBrowse memory analysis into embedded firmware projects to track and visualize RAM and Flash usage.