Descubre Habilidades de Claude para analytics & monitoring. Explora 47 habilidades y encuentra las capacidades perfectas para tus flujos de trabajo de IA.
Monitors Zilliz Cloud cluster health, collection statistics, and performance metrics through natural language commands.
Monitors GitHub Copilot license allocation and usage status across organizations and enterprises.
Generates evidence-based performance reports on AI agents and skills by analyzing Claude Code session transcripts.
Implements a research-first methodology for systematic error diagnosis and evidence-based resolution.
Configures comprehensive product analytics and feature flag infrastructure using PostHog for both client-side and server-side applications.
Manages and modifies aggregated metrics within the Lightdash semantic layer using dbt 1.10+ syntax.
Configures automated alerts for Claude Code session events across Telegram, Discord, Slack, and local files.
Implements comprehensive logging, metrics, and distributed tracing using the Effect-TS ecosystem for robust application monitoring.
Logs structured errors, warnings, and events from subagents to a centralized JSONL file without interrupting active workflows.
Audits and validates the integrity of your Intent Layer documentation to ensure high-quality AI context and project awareness.
Automates IP geolocation and intelligence gathering tasks through Composio and Rube MCP.
Analyzes source code for performance bottlenecks and executes automated benchmarks to ensure optimal software execution.
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.
Analyzes codebases to identify performance bottlenecks, reduce bundle sizes, and accelerate build times across multiple tech stacks.
Standardizes multi-model AI workflows with mandatory tracking protocols, performance metrics, and consensus reporting.
Monitors and optimizes AI agent success rates, model latency, and operational costs through automated metrics collection.
Monitors the Clawdbot repository to identify architectural patterns and improvement opportunities for the Geoffrey AI infrastructure.
Monitors and reports the health, indexing status, and statistics of the Jarvis semantic memory system.
Automates nightly maintenance, structural repairs, and strategic improvements for Claude Code plugins.
Performs deep semantic quality audits and structural validation for contact-center-lab pipeline outputs.
Scaffolds production-ready OpenTelemetry Collector components including receivers, processors, and exporters following canonical industry patterns.
Analyzes Garmin and Streaks data to track exercise consistency, training load, and alignment with fitness habit targets.
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 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.
Enables deep Linux kernel analysis and system monitoring using BPF-based tools for performance optimization and troubleshooting.
Optimizes website performance and SEO by running Lighthouse audits and generating actionable, AI-powered code fixes.
Automatically detects and corrects friction in skill instructions to ensure smoother, more efficient AI task execution.
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