Discover Agent Skills for analytics & monitoring. Browse 47 skills for Claude, ChatGPT & Codex.
Monitors and analyzes Vite and Rollup bundle sizes to enforce performance budgets and prevent production bloat.
Builds interactive, publication-quality data visualizations and complex SVG-based diagrams using the D3.js library.
Configures and installs a real-time status line for Claude Code to monitor token usage, API costs, and context window limits.
Optimizes PromQL queries and troubleshoots observability issues within Mimir and Prometheus environments.
Monitors, troubleshoots, and calibrates automated quality metrics and safety evaluations for AI-generated tarot readings.
Enforces strict numeric precision and type safety across critical financial calculation paths within the Phoenix VC fund model.
Guides the creation and management of governed business metrics and aggregations within the Honeydew semantic layer.
Integrates comprehensive error handling and performance monitoring across services using industry-standard patterns for Sentry, Datadog, and other monitoring solutions.
Implements high-signal, structured logging conventions for backend and frontend applications to improve observability and debugging.
Establishes robust alerting conventions for application errors to ensure critical failures reach operations teams effectively.
Configures requirement-level observability for Datadog, Prometheus, and Splunk to track SLAs and performance metrics.
Calculates the nonlinear impact of trading commissions and spreads on net risk-reward ratios and strategy efficiency.
Generates automated daily analytics reports for Luma events by querying Supabase data to track registration trends and marketing performance.
Analyzes marketing data using scientific frameworks to measure incrementality, brand growth, and conversion performance.
Debugs LangChain and LangGraph agents by fetching and analyzing execution traces directly from LangSmith Studio within the terminal.
Optimizes distributed tracing workflows by crafting efficient TraceQL queries and correlating traces with Loki logs and Mimir metrics.
Profiles and optimizes Python codebases to eliminate bottlenecks, reduce memory usage, and improve execution speed.
Defines and implements Service Level Indicators (SLIs) and Service Level Objectives (SLOs) to ensure system reliability and manage error budgets.
Tracks and reports real-time progress, iteration history, and health metrics for Ralph Wiggum autonomous development loops.
Creates and manages production-grade Grafana dashboards for real-time visualization of system, infrastructure, and application metrics.
Designs data-driven business dashboards using industry-standard KPI frameworks, visualization patterns, and automated monitoring logic.
Diagnoses software errors by analyzing logs, stack traces, and system output to identify root causes and actionable fixes.
Transforms complex datasets into persuasive business narratives through visualization, strategic context, and structured storytelling frameworks.
Designs and audits robust analytics systems to produce reliable, decision-ready data across platforms like GA4 and Segment.
Orchestrates a repeatable system operations pipeline for WSL environments to generate diagnostic reports and track system state changes.
Optimizes system performance by benchmarking multiple implementation strategies in parallel across isolated Git worktrees.
Streamlines development by sending logs, structured data tables, and live HTML previews directly to the Ray desktop application.
Sends real-time debug data, logs, and HTML previews directly to the Ray desktop application for visual inspection.
Manages and debugs local application stacks with a focus on observability, log analysis, and safe automation.
Monitors and lists execution history for Output SDK workflows to simplify debugging and status tracking.
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