发现analytics & monitoring类别的 Claude 技能。浏览 54 个技能,找到适合您 AI 工作流程的完美功能。
Analyzes and compares technology ecosystems using quantitative GitHub metrics and qualitative web research to facilitate data-driven tool selection.
Implements end-to-end request tracking using Jaeger and Tempo to monitor microservices performance and reliability.
Defines and implements Service Level Indicators (SLIs) and Service Level Objectives (SLOs) to establish data-driven reliability targets.
Instruments and diagnoses performance bottlenecks in OpenWebF applications within the Flutter ecosystem.
Automates the creation and management of Bigeye monitoring configurations to ensure data quality, freshness, and volume consistency for BigQuery tables.
Provides expert guidance on building, validating, and integrating dbt Semantic Layer metrics using MetricFlow architecture.
Configures Prometheus for comprehensive metric collection, storage, and infrastructure monitoring.
Identifies and resolves software performance bottlenecks through systematic measurement and data-driven optimization.
Designs and implements production-grade Grafana dashboards for real-time system and application observability.
Implements end-to-end request tracking and performance monitoring across microservices using Jaeger and Tempo.
Creates and manages production-ready Grafana dashboards for real-time visualization of system, application, and business metrics.
Investigates Mission Control alerts to identify root causes and provide actionable remediation steps through historical pattern analysis and resource correlation.
Implements comprehensive observability stacks using Prometheus, Grafana, and proactive alerting frameworks.
Manages system outages and performance degradations with standardized on-call procedures and automated runbook execution.
Automates the setup of a comprehensive activity tracking system to monitor skill execution, duration, token usage, and API costs.
Automates the setup of OpenTelemetry observability to track Claude Code usage, costs, and productivity metrics.
Analyzes past Claude Code conversation history to provide semantic search, development pattern detection, and automated activity reports.
Configures Prometheus for robust infrastructure and application metric collection, storage, and alerting.
Profiles, analyzes, and optimizes Python code to eliminate bottlenecks and improve application efficiency.
Defines and implements Service Level Indicators (SLIs) and Service Level Objectives (SLOs) with error budgets and automated alerting.
Profiles and optimizes Python code to eliminate bottlenecks, reduce memory usage, and improve application latency.
Defines and implements service reliability targets using SLIs, SLOs, and error budgets to balance innovation with system stability.
Configures markdown content portlets within drizzle-cube dashboards to provide static text, documentation, and formatted headers.
Configures professional area charts and stacked time-series visualizations for drizzle-cube dashboards.
Configures time-series and trend analysis line charts for drizzle-cube dashboards with support for multiple data series.
Configures customizable bar and column charts for Drizzle Cube dashboards, supporting stacked, grouped, and horizontal orientations.
Configures customizable text templates to display metric values and status messages within Drizzle Cube dashboards.
Configures dynamic KPI delta displays with trend indicators and period-over-period comparisons for Drizzle Cube dashboards.
Configures single-metric KPI displays for drizzle-cube dashboards with customizable formatting and layout options.
Designs and implements production-grade Grafana dashboards for comprehensive system and application observability.
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