Discover Agent Skills for analytics & monitoring. Browse 47 skills for Claude, ChatGPT & Codex.
Generates comprehensive ecosystem progress reports and efficiency metrics to document development achievements and ROI.
Analyzes and documents project observability practices including logging, metrics, tracing, and alerting thresholds.
Diagnoses and reports the operational status of all GrepAI components including Docker services, vector databases, and MCP registration.
Configures sophisticated chart axis mappings and visual display options for Drizzle Cube data visualizations.
Manages Grafana, Loki, and Prometheus operations for unified Kubernetes cluster observability and incident response.
Analyzes and queries real-time Splunk metrics using advanced SPL commands like mstats and mcatalog.
Identifies code bottlenecks and provides actionable strategies to optimize latency, memory usage, and algorithmic efficiency.
Implements comprehensive system monitoring, structured logging, and distributed tracing to ensure application reliability and performance.
Analyzes, profiles, and optimizes Claude Flow swarm operations to identify bottlenecks and improve multi-agent execution efficiency.
Design and manage production-ready Grafana dashboards for real-time observability and system monitoring.
Implements end-to-end request tracking and performance monitoring across microservice architectures using Jaeger, Tempo, and OpenTelemetry.
Implements structured logging, metrics collection, and distributed tracing for Python applications to improve production visibility.
Designs data-driven KPI dashboards with optimized metric selection, visualization patterns, and real-time monitoring layouts.
Configures comprehensive metric collection, alerting, and observability infrastructure using Prometheus for applications and systems.
Implements Service Level Objectives (SLOs) and error budgets to balance service reliability with development velocity.
Optimizes Python applications by identifying bottlenecks through comprehensive profiling and implementing high-efficiency coding patterns.
Implements comprehensive monitoring, distributed tracing, and visualization for Istio and Linkerd service mesh architectures.
Provides comprehensive formulas, benchmarks, and strategic guidance for tracking and optimizing key performance metrics across various startup business models.
Automates the continuous improvement of Claude Code skills by analyzing telemetry patterns and applying performance-enhancing updates.
Debugs and analyzes LangChain and LangGraph agent execution traces directly within the terminal using LangSmith Studio data.
Measures and analyzes code complexity, maintainability, and structural health using industry-standard quantitative metrics.
Retrieves comprehensive Amplitude user profiles and activity logs using Device or User IDs via the REST API.
Sets up comprehensive OpenTelemetry monitoring for tracking Claude Code usage, token costs, and developer productivity.
Optimizes Python application performance through advanced profiling, memory management, and efficient coding patterns.
Analyzes Claude Code conversation history to provide semantic search, pattern detection, and interactive activity dashboards.
Defines measurable indicators and confidence levels for strategic drivers using Philip Mudd’s HEAD intelligence framework.
Identifies and calculates profitable price discrepancies between Polymarket and Kalshi prediction markets.
Automates financial management by integrating PocketSmith data for transaction categorization, Australian tax tracking, and predictive scenario analysis.
Implements structured logging, metrics, and distributed tracing patterns for Go microservices using industry standards.
Audits and optimizes Claude skills to improve performance, ensure compliance, and reduce token consumption.
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