Discover Agent Skills for analytics & monitoring. Browse 47 skills for Claude, ChatGPT & Codex.
Implements an evidence-based debugging protocol that prioritizes observability and systematic instrumentation over speculative fixes.
Captures snapshots, video clips, and motion events from RTSP and ONVIF-compliant IP cameras.
Instruments database queries and connection pools to identify performance bottlenecks and architectural anti-patterns.
Tracks LLM prompt versions and conducts A/B experiments to optimize agent performance, quality, and cost.
Measures and optimizes web performance metrics to improve user experience and search engine rankings.
Configures and manages Flower for real-time Celery task monitoring, secure authentication, and Prometheus metrics integration.
Implements comprehensive observability, health checks, and alerting systems for Redis database environments.
Monitors development in real-time to detect and prevent deviation from the original project plan.
Implements production-grade structured logging, OpenTelemetry tracing, and LLM-specific metrics tracking for AI applications.
Records and manages a comprehensive audit trail of skill executions within the Betty framework for monitoring and compliance.
Implements robust logging, error handling, and diagnostic patterns for React and React Native applications.
Optimizes content and audience growth through data-driven reporting, KPI tracking, and growth experiment frameworks.
Profiles and optimizes Python code to identify bottlenecks, reduce memory consumption, and improve execution speed using industry-standard tools and patterns.
Designs and manages production-ready Grafana dashboards for real-time system and application observability.
Establishes measurable reliability targets through SLIs, SLOs, and error budgets to balance operational stability with feature velocity.
Configures Prometheus for comprehensive metric collection, alerting, and infrastructure monitoring.
Implements end-to-end request tracking across microservices using Jaeger and Tempo to identify performance bottlenecks and debug distributed systems.
Defines and implements Service Level Indicators and Objectives with error budgets and alerting for site reliability engineering.
Deterministically compares IDE and CLI workflow cycles to calculate metrics, assign scores, and identify performance winners.
Designs and implements production-grade Grafana dashboards for comprehensive system and application observability.
Configures customizable bar and column charts for Drizzle Cube dashboards, supporting stacked, grouped, and horizontal orientations.
Configures time-series and trend analysis line charts for drizzle-cube dashboards with support for multiple data series.
Configures professional area charts and stacked time-series visualizations for drizzle-cube dashboards.
Configures single-metric KPI displays for drizzle-cube dashboards with customizable formatting and layout options.
Configures GitHub-style activity grid heatmaps for Drizzle Cube dashboards to visualize daily contribution patterns and temporal metrics.
Configures hierarchical treemap visualizations for Drizzle Cube dashboards to represent complex, nested data structures as proportional rectangles.
Builds and executes semantic analytics queries using measures, dimensions, and advanced temporal filtering.
Provides comprehensive frameworks and templates for tracking revenue, forecasting growth, and managing creator business finances.
Optimizes Python code for speed and memory efficiency using advanced profiling tools and industry-standard best practices.
Defines and implements Service Level Indicators (SLIs) and Service Level Objectives (SLOs) to establish measurable reliability targets.
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