Skill UI

A comprehensive diagnostic guide for resolving common errors across the entire Supabase stack, including PostgREST, PostgreSQL, Authentication, and Storage. Use this tool when encountering specific error codes (e.g., PGRST301, 42501) or debugging complex API failures like RLS violations or session expiry. It provides step-by-step instructions for identifying the error layer and applying the correct fix.

A comprehensive guide for structured incident response when a Supabase-backed application fails. This runbook guides users through triaging issues, verifying platform status, inspecting connection pools, debugging stuck queries using pg_stat_activity, and analyzing Edge Function logs. Essential for root cause analysis and escalating issues to support.

A disciplined debugging ritual that forces you to investigate errors, reproduce issues, and analyze patterns before proposing fixes, ensuring root causes are understood across multi-component systems and minimizing risky guesswork under pressure.

This skill provides a systematic, multi-step approach to identify and resolve all failing unit tests within a codebase. It guides the user through smart error grouping (e.g., grouping by ImportError or AttributeError), prioritizing fixes from infrastructure to business logic, and ensuring thorough verification to prevent regressions. Ideal for use after major refactoring, debugging CI/CD failures, or when explicitly tasked with making the test suite pass.

A specialized skill designed to ensure robust software quality by covering the entire testing lifecycle. This includes defining test strategies, writing unit, integration, and E2E tests, and implementing advanced testing types like performance (k6), security (OWASP), and functional testing. It guides users through coverage analysis, debugging flaky tests, and generating detailed defect and quality reports.

This guide provides comprehensive patterns for optimizing Turborepo build pipelines within monorepos. It covers local and remote caching strategies, including integration with Vercel and self-hosted solutions. Use it when setting up new monorepos, improving CI/CD performance, or debugging complex build dependency issues.

Provides expert guidance on Unsloth to accelerate fine-tuning via LoRA/QLoRA, reduce memory usage, and streamline API usage, debugging, and best practices.

A comprehensive guide for diagnosing and resolving common errors encountered when utilizing the Vast.ai platform. It provides quick references and fixes for HTTP status codes (e.g., 401, 429), instance lifecycle issues, CLI command failures, Docker image loading problems, SSH connectivity errors, and CUDA memory issues. Essential for maximizing GPU rental efficiency and debugging cloud instances.

Collects comprehensive diagnostic evidence for troubleshooting Vast.ai GPU instances. This bundle gathers account status, lists all running instances, retrieves recent logs, performs remote GPU diagnostics (e.g., nvidia-smi, CUDA checks), and verifies API connectivity. It is essential for creating detailed support tickets when encountering persistent infrastructure issues.

A comprehensive guide for diagnosing difficult and intermittent Vercel deployment issues. Covers advanced topics such as cold start analysis, edge function crashes, region-specific behavior isolation, function bundle optimization, and concurrency throttling. Use this when standard logging fails and systematic, deep-dive debugging is required for production stability.

A comprehensive toolkit for automating and testing local web applications using Python and Playwright. It supports complex dynamic interactions, managing server lifecycles, identifying stable selectors, capturing visual evidence (screenshots), and debugging UI behavior. The guides follow a robust 'Reconnaissance-Then-Action' pattern for reliable end-to-end testing.

This guide provides advanced, deep-dive debugging techniques for complex issues within the Windsurf integrated development environment. It addresses persistent problems such as context corruption in Cascade, indexing failures, extension conflicts, and deep configuration bugs that standard troubleshooting cannot resolve. Use this when the AI suggestions or IDE behavior is consistently incorrect or unstable.