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。
Manages human annotations and manual scoring workflows for Langfuse LLM traces directly from Claude.
Orchestrates end-to-end evaluation cycles for AI agents using Langfuse to identify performance regressions and generate actionable optimization reports.
Provides deep insights into multi-turn LLM conversations by analyzing and debugging Langfuse trace sessions.
Manages the complete lifecycle of Langfuse LLM prompts, including version control, deployment labels, and side-by-side version comparisons.
Provides strategic guidance for evaluating and optimizing AI agents using Langfuse traces and data-driven iteration loops.
Analyzes and visualizes LLM quality scores, trends, and regressions within the Langfuse observability platform.
Diagnoses and resolves LLM workflow issues by performing structured root-cause analysis on Langfuse traces.
Instruments Python LLM pipelines with Langfuse tracing, observability patterns, and performance scoring.
Performs multi-agent cryptocurrency market analysis and investment research across technical, fundamental, and sentiment data.
Evaluates the impact and effectiveness of AI skills through data-driven usage metrics and ROI analysis.
Extracts and filters Langfuse observability traces to provide surgical debugging insights directly within the Claude Code environment.
Facilitates systematic, tool-driven code investigation and error resolution through logs, search, and iterative testing.
Automatically detects and analyzes Datadog resource mentions to provide real-time observability context within your workflow.
Automates building system analytics and SkySpark alert triage using n8n multi-agent workflows and FastAPI tool servers.
Monitors system health, service status, and resource usage with real-time notifications for infrastructure reliability.
Manages and optimizes software-defined radio settings including frequency, gain, and demodulation for WaveCap-SDR.
Queries Prometheus metrics and analyzes resource usage to optimize platform performance and service health.
Optimizes enterprise application performance using AI-powered profiling, predictive tuning, and Context7 integration across 25+ programming languages.
Instruments Python applications with Langfuse tracing to provide deep observability into LLM calls, pipelines, and agentic workflows.
Logs recurring AI errors and automatically promotes or demotes guardrails based on frequency to improve model reliability.
Manages human annotations and quality scores for Langfuse traces directly within the Claude Code environment.
Builds and manages interactive Oxy data dashboards and analytics applications using YAML configurations.
Troubleshoots and debugs Zimbra extensions using advanced URL parameters, sideloader configurations, and server-side log analysis.
Implements a rigorous diagnostic framework to identify and resolve software bugs through structured hypothesis testing and data validation.
Implements production-grade structured logging, distributed tracing, and metrics collection patterns for robust system monitoring.
Configures Prometheus for comprehensive metric collection, alerting, and observability across infrastructure and applications.
Diagnoses AI workflow issues by correlating Langfuse trace data with codebase logic to identify root causes and generate actionable fixes.
Implements comprehensive monitoring, logging, and observability solutions for data infrastructure and production pipelines.
Performs comprehensive analysis of code quality, development workflows, and skill effectiveness to generate actionable insights.
Analyzes frontend applications to identify performance bottlenecks and provides actionable optimizations for bundle size, rendering, and Core Web Vitals.
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