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。
Implements advanced logging, interactive debugging, and performance profiling patterns to enhance application visibility and reliability.
Generates structured analytics tracking plans and success metrics to measure feature performance and user engagement.
Master systematic debugging techniques and root cause analysis to efficiently resolve bugs and performance issues across any tech stack.
Configures Prometheus for comprehensive metric collection, alerting, and infrastructure monitoring.
Generates structured Markdown summaries of Claude Code session logs to capture technical decisions, accomplishments, and file changes.
Implements comprehensive monitoring, distributed tracing, and performance visualization for Istio and Linkerd service mesh environments.
Integrates Datadog observability into Claude to enable real-time log searching, metric querying, and incident triage.
Audits Claude Code projects to detect architectural anti-patterns and optimize structural compliance through automated detection scripts.
Generates a personalized, Spotify Wrapped-style summary of your Claude Code usage statistics and coding milestones.
Monitors deployed infrastructure health and performance by querying CloudWatch metrics and generating actionable reports.
Identifies and audits agents that perform execution tasks directly instead of delegating to specialized skills to prevent context bloat.
Analyzes code and architecture to identify performance bottlenecks, latency issues, and resource inefficiencies in data structures.
Streamlines the creation, modification, and testing of Tenzir packages for security data pipelines and log parsers.
Generates comprehensive status reports for autonomy branches by computationally analyzing journal commits and metrics progression.
Generates idiomatic Tenzir Query Language (TQL) programs for sophisticated data pipelines and transformations.
Diagnoses and resolves performance bottlenecks, deadlocks, and memory leaks in Rust applications using the Tokio async runtime.
Implements and audits comprehensive analytics tracking systems, including GA4 and Tag Manager, to capture actionable business data.
Implements comprehensive Sentry v8 error tracking and performance monitoring across project services to ensure no error goes unrecorded.
Searches across local and archived logs using hybrid search with context extraction and type-aware filtering.
Validates log files against type-specific schemas and standards to ensure structural integrity and data compliance.
Transforms software quality into a measurable gradient to drive continuous improvement through mathematical optimization and anti-pattern detection.
Optimizes and debugs React applications using advanced performance analysis, bundle visualization, and ecosystem best practices.
Analyzes Claude Code conversation history to provide semantic search, pattern detection, and interactive activity dashboards.
Configures comprehensive OpenTelemetry monitoring to track Claude Code usage, token costs, and developer productivity metrics.
Enables cross-session awareness and agent self-discovery using a DuckDB-powered reafference database.
Manages system resources using a compositional SCUM score to monitor and optimize process performance.
Monitors filesystem events in real-time to convert directory changes into topological state transitions and entropy-based metrics.
Analyzes and reconciles AI interaction threads across multiple platforms using topological decomposition and universal schema mapping.
Monitors real-time social streams via Model Context Protocol (MCP) with high-performance DuckDB persistence.
Instruments Python applications with structured logging, Prometheus metrics, and distributed tracing to enhance production reliability and system transparency.
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