analytics & monitoring向けのClaudeスキルを発見してください。47個のスキルを閲覧し、AIワークフローに最適な機能を見つけましょう。
Provides a comprehensive monitoring and state management layer for the Teslasoft harness via the Drone sidecar.
Monitors skill performance and gathers anonymous user feedback through a privacy-first, opt-in telemetry framework.
Facilitates structured 5 Whys analysis to identify systemic root causes of software incidents through neutral guidance and real-time visualization.
Synthesizes qualitative research and quantitative telemetry into actionable insight loops to de-risk product development decisions.
Defines and implements service reliability targets using SLIs, SLOs, and error budgets to balance innovation with system stability.
Integrates structured logging, OpenTelemetry tracing, and semantic conventions into functions for deep system visibility.
Profiles and optimizes Python code to eliminate bottlenecks, reduce memory usage, and improve application latency.
Defines and implements Service Level Indicators (SLIs) and Service Level Objectives (SLOs) with error budgets and automated alerting.
Analyzes stock portfolios to provide performance insights, risk assessments, and actionable rebalancing suggestions.
Configures Prometheus for robust infrastructure and application metric collection, storage, and alerting.
Implements end-to-end request tracking and performance monitoring across microservices using Jaeger, Tempo, and OpenTelemetry.
Manages and audits decision-making workflows within Claude Code using the Model Context Protocol.
Generates categorized error summaries from server logs to identify system failures, frequency, and actionable troubleshooting steps.
Analyzes and searches historical conversation logs to retrieve context and track usage metrics using jq and ripgrep.
Configures the SourceMonitor engine using a comprehensive Domain Specific Language (DSL) for data fetching, scraping, and retention.
Optimizes website load times and Core Web Vitals through asset minification, critical path analysis, and efficient resource delivery.
Enables deep observability and debugging for XState v5 actor systems using the Inspect API and visual tools.
Profiles, analyzes, and optimizes Python code to eliminate bottlenecks and improve application efficiency.
Tags production logs, metrics, and traces with requirement identifiers to enable full-cycle traceability from runtime issues to business intent.
Implements, audits, and optimizes web and product analytics tracking to provide actionable business insights.
Designs data-driven business dashboards using visualization best practices, metric selection frameworks, and real-time monitoring patterns.
Provides comprehensive guidance on tracking, calculating, and optimizing key performance indicators for SaaS, marketplace, and B2B startups.
Executes trades and analyzes market data on the Bybit exchange using the V5 API with built-in risk management and safety constraints.
Optimizes Python code through advanced profiling, memory management, and high-performance implementation patterns.
Guides developers through performance profiling, bottleneck identification, and code benchmarking using industry-standard tools and methodologies.
Implements a scientific, hypothesis-driven approach to identify root causes and resolve complex software failures.
Diagnoses and resolves recurring software failure patterns across dependencies, environments, networking, and concurrency.
Systematizes the debugging process using hypothesis-driven workflows and isolated instrumentation to resolve regressions, incidents, and flaky tests.
Diagnoses Sentry errors by analyzing codebase patterns and recommending specific diagnostic or corrective scripts from GitLab repositories.
Creates and manages production-ready Grafana dashboards for real-time visualization of system, infrastructure, and application metrics.
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