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。
Synchronizes local Claude Code session transcripts to Supabase for persistent storage and analysis.
Monitors Claude Code session ingestion statistics and database health via Supabase.
Implements high-performance monitoring strategies using logs, metrics, and distributed tracing to ensure system reliability and performance.
Performs systematic investigations into software incidents using structured methodologies like the 5 Whys and Fishbone diagrams to identify systemic fixes.
Simplifies incident investigation by providing structured log parsing strategies, correlation ID tracing, and distributed query patterns.
Diagnoses and resolves memory leaks in Node.js applications through heap analysis and garbage collection profiling.
Standardizes incident reporting and root cause analysis using blameless SRE principles to prevent recurrence.
Analyzes and summarizes Claude Code conversation history to extract development insights, architectural pivots, and trial-and-error milestones.
Generates standardized operational runbooks to streamline incident response and minimize mean time to resolution (MTTR).
Diagnoses and resolves memory leaks in Node.js applications through heap snapshot analysis and garbage collection profiling.
Provides a structured framework for SEV classification, on-call coordination, and rapid mitigation during live production incidents.
Diagnoses latency issues, identifies bottlenecks, and resolves performance spikes in Node.js applications.
Implement comprehensive observability for Node.js applications using Prometheus metrics, Grafana dashboards, and SLO-based alerting strategies.
Diagnoses and resolves performance bottlenecks, memory leaks, and inefficient algorithms in Node.js applications.
Implements wide-event logging and tail sampling to transform scattered logs into context-rich, queryable business events.
Enforces a rigorous, data-driven framework for designing and validating A/B tests through mandatory statistical gates and hypothesis locking.
Optimizes Go application performance through detailed CPU and memory analysis using pprof.
Optimizes JavaScript bundle sizes using advanced techniques like tree shaking, code splitting, and dependency analysis.
Validates the accuracy, credibility, and freshness of information sources during software evaluations and technical research tasks.
Optimizes web application speed and efficiency by auditing Core Web Vitals, analyzing bundle sizes, and refining rendering strategies.
Integrates PostHog analytics, feature flags, and session recording into Next.js App Router applications using best-practice implementation patterns.
Monitors and records code generation lifecycles to provide detailed run statuses and performance metrics.
Optimizes web application performance by analyzing Core Web Vitals, bundle sizes, and rendering strategies to improve load speeds and SEO.
Provides a comprehensive development framework for building and maintaining Nightscout-based glucose monitoring solutions.
Automates the lifecycle of Splunk CSV lookup files and table definitions via the REST API.
Summarizes per-model usage and cost data from CodexBar for Claude and Codex AI models.
Analyzes and queries real-time Splunk metrics using advanced SPL commands like mstats and mcatalog.
Manages and queries Splunk server configurations, users, and system information through the REST API.
Explores and retrieves metadata for Splunk indexes, sources, sourcetypes, and field schemas using automated REST API queries.
Manages Splunk alert life cycles by creating configurations, monitoring triggered events, and handling notification workflows via the REST API.
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