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。
Resolves complex software errors using hypothesis-driven frameworks and extended reasoning for Python, JavaScript, and distributed systems.
Analyzes and optimizes web application performance across bundles, React rendering, databases, and network requests.
Analyzes and visualizes cumulative stock and index performance against the S&P 500 benchmark using historical Yahoo Finance data.
Optimizes software performance through systematic profiling, rigorous benchmarking, and evidence-based bottleneck identification.
Deploys a complete LGTM observability stack to Railway cloud including Grafana, Loki, Tempo, and Prometheus.
Configures multi-dimensional radar and spider charts for Drizzle Cube dashboards to compare complex metrics across categories.
Monitors and detects bearish divergence between rising commodity prices and declining physical ETF inventories to assess market supply risk.
Configures multi-dimensional bubble charts in Drizzle Cube dashboards to visualize relationships between three or more data variables.
Configures customizable text templates to display metric values and status messages within Drizzle Cube dashboards.
Measures software quality and delivery performance using actionable DORA metrics, quality gates, and automated trend analysis.
Monitors and optimizes application performance by tracking latency metrics across APIs, databases, and background jobs.
Automates interactions with the Taiga API to track job results, analyze pass rates, and manage model evaluation runs.
Manages privacy-first, anonymous telemetry and user feedback to improve tool performance and identify common usage patterns via GitHub-native integrations.
Analyzes financial transaction data to generate comprehensive spending insights, interactive visualizations, and personalized budget recommendations.
Analyzes application code to identify CPU hotspots, optimize algorithmic complexity, and eliminate performance bottlenecks.
Monitors multi-agent activity in real-time through a specialized dashboard, providing live insights into tool calls and workflow traces.
Analyzes and optimizes system performance by identifying bottlenecks and evaluating scaling strategies for high-capacity applications.
Automates the implementation of distributed tracing and observability for microservices to provide end-to-end request visibility.
Automates the configuration of uptime, transaction, and API monitoring to proactively track application performance and availability.
Monitors and analyzes application error rates to improve system reliability and proactively resolve performance issues.
Identifies performance degradation in CI/CD pipelines by comparing real-time metrics against historical baselines and thresholds.
Accesses and analyzes Vercel deployment logs to troubleshoot application performance and runtime errors.
Implements comprehensive observability stacks using Prometheus, Grafana, and proactive alerting frameworks.
Implements measurable reliability targets using SLIs, SLOs, and error budgets to balance service stability with development velocity.
Implements expert patterns for Segment Customer Data Platform integration, tracking plan design, and data governance.
Extracts structured metadata, statistics, and interaction logs from Claude Code native session files for auditing and retrospective analysis.
Audits, evaluates, and refactors Claude Code skill ecosystems through autonomous orchestration and multi-layered analysis.
Standardizes multi-model validation by enforcing structured tracking, performance logging, and consensus analysis.
Provides essential logging and error-handling utilities for building robust and observable Claude Code plugins.
Systematically gathers, categorizes, and analyzes user feedback to continuously improve AI agent performance and development workflows.
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