Discover Agent Skills for analytics & monitoring. Browse 47 skills for Claude, ChatGPT & Codex.
Automates quarterly grant reporting and NCDIT compliance monitoring using operational data from Knack databases.
Retrieves real-time odds and sentiment data from leading prediction markets like Polymarket and Kalshi.
Optimizes application speed by measuring bottlenecks, profiling latency, and implementing data-driven code improvements.
Optimizes web application performance and Core Web Vitals through systematic measurement and bundle analysis.
Extracts high-signal narrative data and clean transcripts from Claude Code's internal JSONL conversation storage.
Retrieves real-time odds, prices, and trading volume from leading prediction markets like Polymarket and Kalshi.
Generates structured, testable incident response playbooks and escalation procedures for site reliability engineering.
Transforms raw product data into actionable insights through structured metrics frameworks and rigorous experimentation planning.
Develops comprehensive security metrics dashboards and reporting frameworks to communicate program effectiveness and risk posture to stakeholders.
Defines and measures product-market fit indicators to ensure products solve critical customer problems effectively.
Designs robust observability frameworks using metrics, logs, and traces to ensure production system visibility and rapid debugging.
Reconstructs failure timelines and correlates system logs to identify root causes in complex software environments.
Measures product performance and customer behavior to drive data-informed decisions through structured metrics frameworks and experimentation plans.
Optimizes incident response by implementing SLO-based alerting, threshold tuning, and actionable runbooks to minimize alert fatigue.
Manages and monitors Model Context Protocol (MCP) servers across multiple AI platforms with auto-discovery and automated troubleshooting.
Identifies and resolves performance bottlenecks across backend, frontend, and database layers using test-driven optimization.
Generates a comprehensive, self-contained HTML dashboard to visualize project progress, development health, and AI telemetry.
Optimizes system performance through data-driven profiling, multi-layer caching strategies, and database query tuning.
Fetches real-time probability data and trading activity from major prediction markets like Polymarket and Kalshi.
Implements battle-tested metrics and monitoring patterns for production-grade observability environments.
Implements GA4 User ID, cross-device tracking, and custom user properties for unified audience analytics and privacy-compliant data management.
Facilitates the setup, querying, and analysis of raw Google Analytics 4 data within BigQuery using optimized SQL patterns and schema documentation.
Configures and optimizes Google Tag Manager variables to capture, transform, and manage dynamic data across tracking tags and triggers.
Configures and optimizes Google Tag Manager triggers for precise event tracking and tag firing logic.
Configures and manages Google Tag Manager containers, workspaces, and deployment environments for web and mobile platforms.
Validates and troubleshoots GA4 implementations using real-time DebugView monitoring and event verification workflows.
Optimizes Google Tag Manager implementations through standardized naming, performance tuning, and rigorous security compliance.
Simplifies GA4 privacy configuration and regulatory compliance through expert guidance on Consent Mode v2, GDPR, and CCPA implementation.
Implements Google Analytics 4 tracking directly using gtag.js for precise website measurement without requiring Google Tag Manager.
Provides comprehensive guidance on Google Analytics 4 event architecture, naming conventions, and parameter configuration for precise data collection.
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