analytics & monitoring Claude 스킬을 발견하세요. 47개의 스킬을 탐색하고 AI 워크플로우에 완벽한 기능을 찾아보세요.
Implements production-grade data validation and contracts using Great Expectations and dbt to ensure reliable data pipelines.
Analyzes Garmin and Streaks data to track exercise consistency, training load, and alignment with fitness habit targets.
Monitors blockchain mempools for pending transactions, MEV opportunities, and real-time on-chain data insights.
Manages administrative updates and consistency for Lightdash charts using a code-first approach.
Manages and modifies aggregated metrics within the Lightdash semantic layer using dbt 1.10+ syntax.
Builds and manages TQL parsing pipeline packages to transform raw log data into structured events.
Monitors and reports the health, configuration, and content volume of the Engram memory system for Claude.
Streams real-time Solana account state transitions and ZK-compressed data via Laserstream gRPC for high-performance data pipelines.
Manages Metabase entities including questions, dashboards, and collections through a powerful command-line interface.
Automates staff absence tracking and substitute coverage reporting using Red Rover API data.
Enhances the Claude Code TUI with real-time session monitoring, usage tracking, and customizable status bars.
Enables comprehensive session logging and event tracking to analyze agent behavior and optimize AI workflows.
Standardizes multi-model AI workflows with mandatory tracking protocols, performance metrics, and consensus reporting.
Analyzes codebases to identify performance bottlenecks, reduce bundle sizes, and accelerate build times across multiple tech stacks.
Monitors and optimizes AI agent success rates, model latency, and operational costs through automated metrics collection.
Analyzes and compares decentralized finance yield opportunities across protocols to identify optimal APY and liquidity trends.
Analyzes and extracts health metrics from local Apple Health SQLite databases, supporting multiple output formats including FHIR R4.
Aggregates real-time cryptocurrency news, market data, and on-chain metrics to provide actionable insights and automated reports.
Scaffolds production-ready OpenTelemetry Collector components including receivers, processors, and exporters following canonical industry patterns.
Analyzes Oura Ring data to provide deep insights into sleep quality, recovery metrics, and long-term health trends.
Provides data-driven athletic recovery analysis and training readiness recommendations using Oura and Garmin biometric metrics.
Analyzes nutrition data from Yazio to provide deep insights into caloric adherence, macronutrient distribution, and hydration patterns.
Analyzes local medical documents and lab reports to monitor health checkup cadence and lipid marker trends.
Analyzes body composition metrics from Withings and Garmin to track muscle mass, fat percentage, and recomposition trends.
Routes general health and biometric inquiries to specialized data analysis or structured review workflows.
Automates social trading by discovering and mirroring the portfolio allocations of top-performing traders with built-in risk management.
Automates the creation, modification, and membership management of Lightdash organization groups.
Automatically detects and corrects friction in skill instructions to ensure smoother, more efficient AI task execution.
Implements structured logging, tracing, and metrics for Python applications using Pydantic Logfire and OpenTelemetry.
Troubleshoots and resolves complex Home Assistant integration errors, from setup failures to entity unavailability.
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