Skill UI

This tool enables deep inspection and validation of web applications by connecting to the browser's DevTools Protocol (MCP). It allows agents to perform tasks like DOM inspection, capturing console logs, monitoring network requests, profiling performance, and taking screenshots in a live environment. Essential for debugging UIs, validating API integrations, and performing end-to-end automated testing.

Implements an ultra-compressed communication mode by drastically reducing token count while maintaining high technical accuracy. This mode strips filler words, articles, and pleasantries, allowing users to communicate complex technical concepts in the most concise way possible. Ideal for debugging, generating logs, or highly efficient development conversations. Supports multiple intensity levels, including classical Chinese modes.

This guide provides a systematic, step-by-step process for root-cause debugging and error recovery. It outlines a structured triage checklist to follow when tests fail, builds break, or unexpected runtime errors occur. By following these steps, users can ensure they fix the underlying root cause rather than merely treating symptoms.

This skill provides a comprehensive guide for integrating and managing Firebase App Check in Flutter applications. It covers selecting the correct platform attestation providers (e.g., Play Integrity, DeviceCheck, reCAPTCHA), initializing the service, handling debug tokens, and executing a secure enforcement rollout. Mastering App Check is critical for protecting backend resources from unauthorized access, significantly enhancing application security.

This guide provides comprehensive solutions for common Flutter runtime and layout errors, such as RenderFlex overflow, unbounded constraints, and improper state management (setState during build). It explains the cause, the specific error message, and provides actionable code fixes for various UI and state issues.

Defensive Golang guidance for avoiding panics, nil traps, append aliasing, overflow, float comparison bugs, and resource leaks. Useful for writing safer code and reviewing runtime risks.

A comprehensive guide for systematically diagnosing and fixing bugs, crashes, deadlocks, and performance issues in Go code. It covers debugging methodology, utilizing tools like Delve and pprof, detecting race conditions, and following the Golden Rules to find the root cause, ensuring robust and reliable Go development practices.

Test-driven development requires writing a failing test before any implementation so logic, bug fixes, and behavioral changes are always backed by proof; it is ideal for guarding refactors and ensuring regressions stay caught by the automated suite.

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 provides comprehensive capabilities for managing the entire issue lifecycle on GitHub. Users can create structured bug reports, feature requests, and tasks, and also read, list, and update existing issues. It supports setting labels, assigning owners, managing milestones, and tracking complex dependencies. Ideal for engineering teams needing robust project backlog management.

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.