Skill UI

A step-by-step debugging guide that starts by stopping feature work and preserving evidence, then moves through triage (reproduce, localize, reduce), root-cause fixes, recurrence guards, and verification to handle test/build/runtime failures and incidents without guessing.

A comprehensive guide for building, reviewing, and debugging production-grade gRPC microservices using Golang. Covers critical patterns such as setting up interceptors for cross-cutting concerns (logging, auth), robust error handling with specific status codes, managing client deadlines, and implementing graceful service shutdowns.

A systematic guide for debugging complex issues in Go applications, including crashes, deadlocks, concurrency errors, and performance bottlenecks. This skill teaches the 'Golden Rules' of debugging: reproducing bugs, isolating variables, and finding the true root cause rather than applying symptom fixes. It covers advanced techniques using pprof for profiling, the Delve debugger (dlv), and Go's built-in race detector, providing a structured methodology for professional software development.

A universal motivation skill that pushes an AI to stop stalling, search and verify proactively, and pursue end-to-end solutions for debugging, research, writing, planning, deployment, and more.

PIP kicks in when tasks fail repeatedly or the assistant becomes passive, layering Western big-tech performance rhetoric, a systematic debugging methodology, and proactivity enforcement so every code, ops, research, deployment, or writing task is owned, verified, and driven to completion.

This skill generates deep, clickable URLs to various resources within the Arize monitoring UI. It supports linking to specific traces, spans, sessions, datasets, evaluators, and annotation configurations. It is essential for sharing specific debugging artifacts or navigating directly to key data points within the MLOps platform by requiring precise resource IDs and time ranges.

This skill teaches users to apply the scientific method to software debugging. Instead of random changes, it guides the process through five steps: Observation, Hypothesizing, Prediction, Testing, and Analysis. By systematically forming and testing specific, measurable hypotheses, users can efficiently isolate failing components and confirm the true root cause of technical issues.

This is an expert guide for writing, debugging, and validating complex expressions within n8n workflows. It covers core variables such as $json, $node, $now, and $env, detailing how to correctly access nested data from current nodes, previous nodes, and webhook payloads. Learn best practices for handling data structures, managing variable scopes, and avoiding common syntax errors to ensure reliable workflow automation.

A general-purpose skill for writing and executing end-to-end (E2E) browser automation tests using Playwright. It handles complex scenarios such as login flows, form submission, responsive viewport testing, and checking for broken links. The skill automatically detects local development servers and executes custom scripts in a safe, temporary directory, providing real-time debugging and results visualization.

This skill provides a comprehensive framework for optimizing, improving, and debugging Large Language Model (LLM) prompts. It leverages production trace data, system evaluations, and human annotations to extract prompts from spans. Users can run a data-driven optimization loop, ensuring the AI responses meet desired quality standards. Ideal for prompt tuning, system prompt refinement, and improving overall AI output quality.

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.

Aspire is a code-first polyglot toolchain that orchestrates containers, executables, and cloud resources through an AppHost project, guiding creation, debugging, configuration, deployment, and troubleshooting for distributed applications across languages.