Skill UI

Structured workflow documenting Replit advanced troubleshooting: collect bundles, isolate layers, analyze timing/memory, detect race conditions, and package evidence for support escalation when standard diagnostics fail.

Guides engineers in assembling logging, tracing, network, and metrics bundles for Retell AI, then walks through layer-by-layer isolation, timing and memory analysis, and escalation packaging when ordinary troubleshooting fails.

Expert in writing, reviewing, and debugging idiomatic Rust code. This skill covers deep systems programming concepts, including mastering ownership, lifetimes, and borrowing patterns for guaranteed memory safety. Specializes in building high-performance, concurrent async applications using Tokio, and designing robust APIs using advanced trait hierarchies. Ideal for projects requiring zero-cost abstractions and maximum reliability.

Expert in building and debugging comprehensive Shopify solutions. Specializes in theme development using Liquid, implementing headless commerce via the Storefront API, and developing custom Shopify applications (OAuth, webhooks). Proficient in modern e-commerce architectures, including Hydrogen/React frontends, managing Shopify CLI workflows, and optimizing performance for high-volume online stores.

Optimize Apache Spark jobs with partitioning, caching, shuffle optimization, and memory tuning. Use when improving Spark performance, debugging slow jobs, or scaling data processing pipelines.

Provides a structured workflow for defining agent-agnostic subagents with isolated context, covering purpose definition, metadata configuration, prompt writing, and common specialist patterns for verification, debugging, security auditing, and review.

Apply Supabase advanced debugging techniques when routine troubleshooting falls short, collecting evidence bundles, isolating failure layers, and building minimal reproductions before escalating to support.

Diagnose and resolve Supabase common errors and exceptions by matching logs with documented cases and applying guided fixes; ideal when debugging failed requests or integration issues in Supabase SDK projects.

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.

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

Use Vercel advanced debugging techniques to gather comprehensive telemetry, isolate failure layers, build minimal reproductions, and package evidence for support escalations when standard troubleshooting fails.

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.