Analytics & Monitoring Claudeスキル

Skill Performance Profiler

Monitors and analyzes Claude Code skill usage to optimize token consumption and workflow efficiency.

OpenTelemetry Observability

Implements and configures OpenTelemetry observability pipelines for Kubernetes environments, including traces, metrics, and logs.

Google ADK Observability Patterns

Implements comprehensive monitoring, logging, and tracing patterns for Google ADK agents across cloud-native and third-party platforms.

LlamaFarm Debugging

Diagnoses and resolves service failures, RAG bottlenecks, and model connectivity issues within the LlamaFarm ecosystem.

KPI Dashboard Design

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

Mozilla Probe Discovery

Discovers and documents Mozilla telemetry probes and Glean metrics across Firefox products.

Transcript Condenser

Summarizes verbose Claude Code session transcripts by filtering system noise and metadata into human-readable logs.

Prometheus Configuration

Configures comprehensive Prometheus monitoring systems for robust infrastructure and application metric collection.

SLO Implementation

Defines and implements Service Level Indicators (SLIs) and Service Level Objectives (SLOs) to establish measurable reliability targets.

Python Performance Optimization

Optimizes Python code for speed and memory efficiency using advanced profiling tools and industry-standard best practices.

Financial Models & Revenue Tracking

Provides comprehensive frameworks and templates for tracking revenue, forecasting growth, and managing creator business finances.

Drizzle Cube Queries

Builds and executes semantic analytics queries using measures, dimensions, and advanced temporal filtering.

Drizzle Cube Treemap Chart Configuration

Configures hierarchical treemap visualizations for Drizzle Cube dashboards to represent complex, nested data structures as proportional rectangles.

Activity Grid Heatmaps

Configures GitHub-style activity grid heatmaps for Drizzle Cube dashboards to visualize daily contribution patterns and temporal metrics.

KPI Number Dashboard Widgets

Configures single-metric KPI displays for drizzle-cube dashboards with customizable formatting and layout options.

Area Chart Configuration

Configures professional area charts and stacked time-series visualizations for drizzle-cube dashboards.

Line Chart Configuration

Configures time-series and trend analysis line charts for drizzle-cube dashboards with support for multiple data series.

Drizzle Cube Bar Charts

Configures customizable bar and column charts for Drizzle Cube dashboards, supporting stacked, grouped, and horizontal orientations.

Grafana Dashboard Architect

Designs and implements production-grade Grafana dashboards for comprehensive system and application observability.

MOVA Workflow Cycle Comparison

Deterministically compares IDE and CLI workflow cycles to calculate metrics, assign scores, and identify performance winners.

SLO Implementation & SRE Monitoring

Defines and implements Service Level Indicators and Objectives with error budgets and alerting for site reliability engineering.

Distributed Tracing & Observability

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

Prometheus Configuration & Monitoring

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

SRE SLO Implementation Framework

Establishes measurable reliability targets through SLIs, SLOs, and error budgets to balance operational stability with feature velocity.

Grafana Dashboard Manager

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

Python Performance Optimization

Profiles and optimizes Python code to identify bottlenecks, reduce memory consumption, and improve execution speed using industry-standard tools and patterns.

Analytics Frameworks

Optimizes content and audience growth through data-driven reporting, KPI tracking, and growth experiment frameworks.

React Observability Patterns

Implements robust logging, error handling, and diagnostic patterns for React and React Native applications.

Audit Logging for Betty

Records and manages a comprehensive audit trail of skill executions within the Betty framework for monitoring and compliance.

Observability and Logging for AI

Implements production-grade structured logging, OpenTelemetry tracing, and LLM-specific metrics tracking for AI applications.