Descubre Habilidades de Claude para analytics & monitoring. Explora 32 habilidades y encuentra las capacidades perfectas para tus flujos de trabajo de IA.
Automates the creation and management of Bigeye monitoring configurations to ensure data quality, freshness, and volume consistency for BigQuery tables.
Diagnoses and resolves Mission Control health check failures by analyzing execution patterns, configuration history, and root causes.
Profiles, analyzes, and optimizes Python code to eliminate bottlenecks and improve application efficiency.
Configures Prometheus for robust infrastructure and application metric collection, storage, and alerting.
Automates the setup of a comprehensive activity tracking system to monitor skill execution, duration, token usage, and API costs.
Defines and implements Service Level Indicators (SLIs) and Service Level Objectives (SLOs) to establish measurable reliability targets.
Analyzes conversation history to extract behavioral signals, identify recurring patterns, and synthesize actionable insights.
Optimizes software performance through systematic profiling, rigorous benchmarking, and evidence-based bottleneck identification.
Tags production logs, metrics, and traces with requirement identifiers to enable full-cycle traceability from runtime issues to business intent.
Configures requirement-level observability for Datadog, Prometheus, and Splunk to track SLAs and performance metrics.
Monitors and manages production errors by integrating Bugsnag tracking and reporting capabilities directly into Claude.
Identifies root causes of distributed system failures by analyzing logs, metrics, and traces using systematic anomaly detection and timeline correlation.
Implements comprehensive Sentry v8 error tracking and performance monitoring across project services to ensure zero-exception error capturing.
Optimizes Python code for speed and memory efficiency using advanced profiling tools and industry-standard best practices.
Automates the cross-system summarization of Chronicle development sessions between remote servers and local machines with AI access.
Optimizes Claude Code performance and token usage through strategic file loading, budget monitoring, and efficient query patterns.
Diagnoses and eliminates performance bottlenecks using a systematic six-phase optimization framework and measurable metrics.
Implements a systematic, hypothesis-driven debugging workflow for Claude Code that automates log injection and root-cause analysis.
Identifies performance bottlenecks and provides actionable optimization recommendations for multi-agent swarm operations.
Generates detailed markdown reports analyzing candidate demographics, diversity metrics, and geographic distribution from profile data.
Identifies and resolves performance bottlenecks across frontend, backend, and database layers using a data-driven measurement philosophy.
Monitors session health and automates code quality gates by spawning focused review agents when degradation or complexity thresholds are met.
Analyzes LimaCharlie billing and usage data to identify cost drivers, track trends, and provide actionable optimization insights.
Monitor and troubleshoot dual-pipeline data collection systems on Google Cloud Platform to ensure reliable blockchain network metrics.
Analyzes frontend applications to identify performance bottlenecks and provides actionable optimizations for bundle size, rendering, and Core Web Vitals.
Implements industry-standard logging, metrics, and tracing patterns to enhance system reliability and monitoring.
Automates financial reporting, revenue analysis, and business forecasting to drive data-informed product decisions.
Implements robust error management systems using structured logging, custom exceptions, and graceful degradation strategies to ensure application resilience.
Visualizes progress and reports status for qualitative research projects following the sandwich methodology.
Triage incidents and debug applications by querying Datadog logs, metrics, and traces directly from your terminal.
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