analytics & monitoring向けのClaudeスキルを発見してください。54個のスキルを閲覧し、AIワークフローに最適な機能を見つけましょう。
Designs and implements professional KPI dashboards with rigorous metric definitions, data lineage mapping, and anomaly detection.
Develops comprehensive data analytics frameworks and growth strategies for mobile and digital applications to optimize user engagement and retention.
Validates and enforces production-grade observability standards, including structured logging and tracing, to prevent production blindness.
Develops data-driven pricing models and competitive analysis to optimize product revenue and market positioning.
Orchestrates a specialized team of six financial AI agents to handle analysis, budgeting, modeling, and accounting with high auditability.
Performs structured cash flow forecasting and treasury management to optimize liquidity and identify financial risks.
Performs structured, audit-ready financial statement analysis including ratio calculations, trend identification, and performance benchmarking.
Profiles and optimizes application performance by identifying CPU bottlenecks and implementing efficient code execution patterns.
Analyzes competitive landscapes and generates actionable sales battlecards to drive strategic market differentiation.
Analyzes and manipulates customer support data using pandas to track SLAs, ticket volumes, and agent performance metrics.
Accesses and analyzes comprehensive FDA regulatory data for drugs, medical devices, and food safety through the openFDA API.
Analyzes log files to generate structured CSV summary reports aggregated by severity levels and specific date ranges.
Constructs complex regular expressions to extract and validate structured data from log files using a systematic decomposition strategy.
Aggregates log file entries across specific date ranges to produce detailed severity statistics and structured CSV reports.
Generates high-precision regular expressions for extracting structured data like timestamps and IP addresses from complex log files.
Quantifies and manages technical debt using the SQALE methodology to prioritize refactoring and establish objective code quality benchmarks.
Implements comprehensive logging, metrics, and distributed tracing to ensure production reliability and performance monitoring.
Implements a systematic error-handling methodology using a 13-category taxonomy to diagnose, recover from, and prevent session failures.
Systematically tracks and optimizes the specialization of AI agents within workflows to improve performance and reusability.
Manages production incidents using SRE methodologies for rapid investigation, mitigation, and postmortem documentation.
Implements production-grade monitoring, logging, and tracing systems to ensure application reliability and performance.
Diagnoses complex software errors using automated stack trace analysis and systematic root cause investigation.
Identifies memory leaks and optimizes allocation patterns in JavaScript, TypeScript, and Python applications to prevent performance degradation.
Analyzes and optimizes application performance across algorithms, databases, and frontend frameworks to resolve bottlenecks and reduce latency.
Implements production-grade observability for Cloudflare Workers using structured logging, real-time log streaming, and custom performance metrics.
Implements service reliability targets using SLIs, SLOs, and error budgets to balance innovation velocity with system stability.
Implements comprehensive Kafka monitoring using Prometheus and Grafana to track cluster health, consumer lag, and broker performance.
Configures Prometheus for comprehensive metric collection, alerting, and observability across infrastructure and applications.
Implements comprehensive request tracking across microservices using Jaeger and Tempo to identify performance bottlenecks and service dependencies.
Automates the creation and management of production-grade Grafana dashboards for real-time system and application observability.
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