Discover Agent Skills for analytics & monitoring. Browse 47 skills for Claude, ChatGPT & Codex.
Diagnoses and resolves application bottlenecks by optimizing network request patterns, parallelizing API calls, and improving connection management.
Automates the deployment and configuration of observability tools like Prometheus, Grafana, and Datadog for production-ready environments.
Aggregates and centralizes performance metrics from diverse systems to streamline observability and real-time monitoring.
Analyzes application logs to identify performance bottlenecks, recurring error patterns, and resource usage anomalies.
Automates the deployment and configuration of centralized logging solutions like ELK, Loki, and Splunk for production environments.
Automates the collection and visualization of comprehensive infrastructure performance metrics across multi-layer systems and cloud services.
Monitors, tracks, and analyzes application error rates to improve software reliability and automate alerting configurations.
Automates the implementation of end-to-end request visibility and observability across microservices architectures.
Monitors database health with real-time metrics, predictive alerts, and automated remediation for PostgreSQL and MySQL instances.
Monitors and analyzes application CPU usage patterns to identify performance bottlenecks and optimize algorithmic efficiency.
Analyzes infrastructure utilization and forecasts resource growth to provide actionable scaling recommendations.
Detects and resolves performance bottlenecks across CPU, memory, I/O, and database layers to optimize application responsiveness.
Analyzes application CPU, memory, and execution time to identify performance bottlenecks and recommend code-level optimizations.
Automates the generation of comprehensive Application Performance Monitoring (APM) dashboards for Grafana and Datadog using natural language.
Generates comprehensive alerting rules and monitoring thresholds to proactively manage system performance and reliability.
Empowers AI coding agents to debug runtime behavior through structured logging and queryable telemetry endpoints.
Optimizes system performance by identifying and terminating resource-heavy development processes like Next.js, Webpack, and Vite.
Performs comprehensive market sizing calculations using TAM, SAM, and SOM frameworks to evaluate business opportunities and startup potential.
Manages healthcare metrics and dbt models for the Engage Analytics project, including questionnaire processing and indicator definitions.
Implements measurable reliability targets using Service Level Indicators (SLIs), Service Level Objectives (SLOs), and error budgets to balance stability with innovation velocity.
Creates and manages production-grade Grafana dashboards for real-time visualization of system, infrastructure, and application metrics.
Configures Prometheus for comprehensive metric collection, infrastructure monitoring, and proactive alerting.
Implements end-to-end request tracking across microservices using Jaeger, Tempo, and OpenTelemetry to identify performance bottlenecks.
Maps high-level goals to the specific daily behaviors that produce them to create actionable, data-driven tracking systems.
Facilitates LLM experiment execution and prompt evaluation using Langfuse datasets and automated LLM-as-judge scoring.
Profiles and optimizes Python code to eliminate bottlenecks, reduce memory overhead, and accelerate execution using advanced profiling tools and best practices.
Automates the creation and configuration of Langfuse datasets for LLM evaluation and observability workflows.
Generates professional ASCII-based charts, progress bars, and dashboards for terminal-based data visualization.
Manages Langfuse datasets and traces to streamline LLM application evaluation and regression testing.
Generates multi-dimensional stock analysis reports by synthesizing technical indicators, fundamental financials, and real-time sentiment data.
Scroll for more results...