Skill UI

A comprehensive guide for interpreting, diagnosing, and fixing validation errors within n8n workflows. It covers error severity levels (Errors, Warnings, Suggestions), details common error types (e.g., missing_required, type_mismatch), and explains the iterative validation process. Learn how to use different validation profiles (minimal, runtime, strict) to ensure robust and functional automated workflows.

This guide provides the complete, step-by-step migration pattern for outdated React context APIs (such as contextTypes, childContextTypes, and getChildContext) to the modern createContext API. Since context migration is always a cross-file process, this skill emphasizes the required coordination between the provider and all consumer components to prevent runtime failures and correctly update the entire application codebase.

This skill provides comprehensive tools to download, export, and deeply inspect existing Arize traces and spans. It is essential for understanding the full execution flow of complex LLM applications, debugging runtime errors, and performing root-cause analysis. Users can retrieve detailed data filtered by Trace ID, Span ID, or Session ID, enabling thorough analysis of conversational or multi-step agent behaviors.

The GitHub Copilot SDK empowers developers to embed advanced, agentic AI workflows directly into their proprietary applications. It provides a programmatic interface to Copilot's production-tested agent runtime, allowing you to define complex agent behaviors, manage tool invocation, process file edits, and implement real-time streaming responses. Ideal for building custom, highly intelligent tools and automating complex tasks across multiple languages (Python, TypeScript, Go, .NET).

This guide provides comprehensive best practices for creating optimized, secure, and efficient multi-stage Dockerfiles. Learn how to separate build environments (builder stage) from minimal runtime environments, significantly reducing image size and attack surface. Topics covered include layer caching optimization, security hardening (non-root users), and using minimal base images for reproducible builds.

Evolver is a comprehensive self-evolution engine designed for autonomous AI agents. It analyzes complex runtime history, identifies performance bottlenecks, and autonomously generates and applies improvements. Communication is architecturally confined to a local Proxy Mailbox, ensuring secure and reliable interaction with the EvoMap Hub for asset management and task acquisition. Ideal for developing highly adaptive, continuously improving intelligent systems.

Qiskit is a comprehensive SDK for developing quantum algorithms. It enables users to build, optimize, simulate, and execute quantum circuits using modern APIs (Qiskit 2.x). It supports local exact sampling, high-performance noisy simulation via Qiskit Aer, and direct execution on IBM Quantum hardware through the Runtime service, making it a powerful tool for quantum research and development.

This guide details securing the CAST AI integration across multiple layers. It covers best practices for API key management (including rotation and secrets storage), implementing least-privilege RBAC using 'kubectl', deploying the Kvisor security agent for runtime scanning, and setting up Kubernetes Network Policies to restrict egress traffic. Use this when hardening production clusters or performing security audits.

A comprehensive guide for diagnosing and resolving common errors encountered when integrating with the Figma REST API or Figma Plugin API. It covers status codes (403, 429, 404), token management, rate limiting, and plugin-specific runtime issues, ensuring robust and stable API development.

A quick reference guide for diagnosing and resolving common runtime and deployment errors encountered on the Fly.io platform. Covers issues such as health check failures, image build failures, machine startup issues, and connection refusals, providing specific diagnostic commands and configuration fixes.

A comprehensive utility designed to collect all necessary diagnostic evidence for troubleshooting HubSpot API issues and preparing detailed support tickets. It gathers runtime environment details, SDK versions, API connectivity checks, rate limit information, and redacts application logs, providing a holistic view for technical support teams.

This guide provides a comprehensive framework for debugging and analyzing AgentCore runtime sessions using CloudWatch Logs Insights. It details advanced techniques like OpenTelemetry (OTEL) span correlation, resolving session IDs to trace IDs, and structuring complex query queries. Use this when investigating agent execution flows, diagnosing tool call failures, analyzing latency, or building detailed behavioral timelines.