Analytics & Monitoring Claudeスキル

Fireflies.ai Observability

Implements comprehensive monitoring, distributed tracing, and alerting for Fireflies.ai API integrations.

Granola Observability & Analytics

Monitors Granola meeting usage and team productivity through automated analytics dashboards and performance metrics.

Decision Tracing for AI Agents

Monitors and records AI agent decision-making processes, tool selections, and reasoning chains for enhanced observability.

Tool Call Tracking

Instruments AI agent tool executions to provide deep visibility into function calls, performance metrics, and error handling.

Token & Cost Tracking

Monitors LLM token usage and real-time costs across agents to ensure budget compliance and operational efficiency.

LLM Call Tracing & Observability

Instruments LLM API calls to capture high-fidelity observability data including latency, token usage, and costs.

Agent Quality & Evaluation Instrumentation

Instruments AI agent evaluation systems to track response quality, detect hallucinations, and monitor performance through automated and human feedback loops.

Memory and RAG Instrumentation

Instruments retrieval-augmented generation and memory operations to provide deep visibility into AI agent context and retrieval quality.

Error and Retry Tracking

Instruments and monitors AI agent error handling, retry logic, and fallback strategies to improve system reliability and observability.

Cloudflare Workers Observability

Monitors, debugs, and analyzes Cloudflare Workers performance and errors using real-time logs and metrics.

JUDO Dispatcher Debugger

Diagnoses and resolves JUDO Dispatcher operation execution issues including validation failures, permission errors, and transaction rollbacks.

Instrumentation Planning

Architects comprehensive observability strategies for AI agents using a structured, outcome-focused 5-tier framework.

AI Production Evaluation Strategy

Optimizes AI agent performance in production through strategic sampling, async evaluation pipelines, and regression detection.

Crypto Market Research AI

Performs multi-agent cryptocurrency market analysis and investment research across technical, fundamental, and sentiment data.

Multi-Agent Coordination Instrumentation

Instruments complex multi-agent workflows to provide deep visibility into agent handoffs, hierarchies, and coordination patterns.

Session Conversation Tracking

Instruments multi-turn AI interactions to monitor user sessions, conversation context, and agent performance patterns.

Human-in-the-Loop Observability

Instruments human intervention points to monitor approval workflows, feedback loops, and agent escalations within AI systems.

Performance Optimization

Analyzes and optimizes software performance across frontend, backend, and database layers to eliminate bottlenecks and increase efficiency.

Python Observability & Monitoring

Implements production-grade structured logging, Prometheus metrics, and distributed tracing for Python applications.

Grafana MCP Integrator

Interfaces with Grafana to query metrics, analyze logs, and manage dashboards or alerts through efficient observability workflows.

Distributed Tracing Implementation

Implements distributed tracing with Jaeger and Tempo to monitor request flows and optimize performance across microservices.

Mistake Tracking & Guardrail Management

Logs recurring AI errors and automatically promotes or demotes guardrails based on frequency to improve model reliability.

Oxy App Builder

Builds and manages interactive Oxy data dashboards and analytics applications using YAML configurations.

Zimbra Zimlet Debugging

Troubleshoots and debugs Zimbra extensions using advanced URL parameters, sideloader configurations, and server-side log analysis.

Service Mesh Observability

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

Grafana Dashboard Management

Builds and manages production-grade Grafana dashboards for real-time observability of infrastructure and application metrics.

SLO Implementation

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

Postmortem & Incident Review

Generates comprehensive, blameless postmortem documents and root cause analyses to drive organizational learning after service incidents.

On-Call Handoff Patterns

Standardizes incident response transitions with structured documentation templates and context transfer best practices.

camsnap Camera Capture

Captures snapshots, video clips, and motion events from RTSP and ONVIF network cameras directly from the command line.