Discover Agent Skills for analytics & monitoring. Browse 47skills for Claude, ChatGPT & Codex.
Guides the configuration and troubleshooting of dbt MCP server connections for AI-powered data engineering and analytics workflows.
Answers complex business questions by intelligently navigating dbt semantic layers, models, and project artifacts.
Diagnoses and resolves failures in dbt Cloud and platform jobs using systematic workflows and root cause analysis.
Profiles and optimizes OCaml memory allocations to eliminate boxing overhead and improve application performance.
Automates the creation and management of production-grade Grafana dashboards for real-time system and application observability.
Identifies, quantifies, and prioritizes technical debt within codebases using ROI-based remediation plans.
Analyzes and optimizes JavaScript bundle sizes to improve web application performance and load times.
Enables comprehensive audit trails and structured logging for Docker-based Claude Flow Novice (CFN) agent execution.
Visualizes Rust project dependencies and coupling metrics through an interactive web interface to identify architectural hotspots.
Provides standardized bash utility functions for structured logging, error handling, and resilient file operations in AI workflows.
Monitors and reports real-time memory usage for Dockerized Claude agents to prevent system crashes and optimize resource allocation.
Design and implement real-time swimlane UI patterns to visualize AI Developer Workflow (ADW) execution and agent activity.
Optimizes end-to-end performance and reduces response times across distributed systems by tuning network protocols, application logic, and database layers.
Implements comprehensive observability strategies using logs, metrics, and traces to improve system reliability and debugging.
Architects robust, hook-based event systems to monitor and broadcast real-time AI agent activities within Claude Code workflows.
Guides the definition of reliability targets, selection of service indicators, and implementation of error budget policies.
Implements and debugs request flows across microservices using OpenTelemetry standards and distributed tracing patterns.
Standardizes incident management processes, from initial detection and triage to postmortem analysis and reliability improvements.
Monitors Hawk job status, retrieves logs, and diagnoses issues for AI evaluation runs within the UK AISI Inspect framework.
Develops, debugs, and optimizes advanced scripts for SAP Analytics Cloud stories and analytics applications.
Optimizes post-PMF customer retention, lifetime value, and engagement through data-driven analysis and predictive modeling.
Implements secure, structured logging with proper levels, context tracking, and PII sanitization for production-ready applications.
Optimizes web application performance through code splitting, lazy loading, caching strategies, and Core Web Vitals monitoring.
Configures and manages SAP Cloud Logging instances on SAP BTP for advanced observability, including log ingestion, metrics analysis, and OpenSearch dashboard setup.
Streamlines the development of enterprise-grade SAP Analytics Cloud planning applications, data actions, and automated financial workflows.
Optimizes backend systems, APIs, and database performance through a disciplined measurement-first workflow.
Integrates MemBrowse memory analysis into embedded firmware projects to track and visualize RAM and Flash usage.
Assesses, models, and mitigates enterprise risks through comprehensive compliance frameworks and advanced stress testing.
Implements structured logging, interactive debugging, and comprehensive performance profiling for Python applications.
Tracks AI operations and costs with session-aware JSONL logging for audit trails and performance analytics.
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