发现analytics & monitoring类别的 Claude 技能。浏览 47 个技能,找到适合您 AI 工作流程的完美功能。
Monitors, traces, and evaluates LLM applications using an open-source, OpenTelemetry-based observability platform.
Integrates comprehensive tracing, evaluation, and monitoring tools to debug and optimize Large Language Model (LLM) applications.
Configures a real-time terminal status bar for Claude Code to monitor context usage, session costs, and API rate limits.
Enables real-time log searching, metric querying, and incident triage directly within the AI agent workflow using Datadog observability.
Standardizes WordPress activity log messages using active voice and user-friendly language for audit trails.
Analyzes completed Claude Code sessions to verify tool execution, hook triggers, and artifact creation against specification files.
Profiles CPU and memory hot paths to generate flame graphs and evidence-backed performance reports.
Generates evidence-based performance hypotheses by analyzing git history and specific execution paths.
Synthesizes performance investigation data into evidence-backed recommendations and actionable next steps.
Identifies critical implementation paths, entrypoints, and high-traffic files to streamline performance profiling and optimization tasks.
Manages and compares performance test baselines to track version-over-version metrics and environment metadata.
Automates the recording of structured performance investigation notes, evidence, and decision-making logic within the AI state directory.
Guides the step-by-step creation of new walkerOS destinations using a standardized, example-driven development workflow.
Optimizes Google Cloud logging and monitoring with battle-tested patterns for structured logs, advanced filtering, and cost-efficient observability.
Monitor and record detailed agent session events, tool invocations, and performance metrics for deep observability.
Implements a mandatory tracking and validation framework for parallel multi-model AI executions to ensure structured results.
Optimizes marketing ROI through advanced attribution modeling, performance measurement, and automated reporting.
Visualizes Claude Code development cycles with a real-time monitoring dashboard for tasks, sessions, and project status.
Builds accessible, high-performance dashboards and data-driven interfaces using a systematic selection framework and comprehensive chart library.
Builds sophisticated analytics interfaces featuring KPI cards, interactive data visualizations, and real-time monitoring layouts.
Implements industry-standard observability using OpenTelemetry to provide deep visibility into system performance, logging, and distributed tracing.
Simplifies the process of adding manual data lineage tracking to Apache Airflow tasks using inlets and outlets.
Builds custom OpenLineage extractors to capture data lineage and metadata from Airflow operators.
Performs professional-grade technical analysis on stocks and ETFs using advanced indicators and pattern recognition.
Monitors and optimizes CPU and GPU resource consumption during intensive development, builds, and training tasks.
Implements robust monitoring strategies, SLI/SLO frameworks, and distributed tracing patterns for production-ready systems.
Generates professional HTML dashboards featuring KPI cards, SVG charts, and interactive data visualizations for monitoring project metrics.
Monitors execution workflows for errors and inefficiencies to automatically generate actionable GitHub issues for improvements.
Implements structured logging, diagnostic error patterns, and robust observability for React and React Native applications.
Monitors and analyzes student engagement, retention, and completion metrics to optimize educational outcomes.
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