Skill UI

Guidelines for writing idiomatic and efficient Elixir/Erlang code, covering pattern matching, pipes, OTP processes, error handling, collections, structs, and anti-patterns.

This skill provides a guide for selecting and optimizing embedding models specifically for vector search and RAG applications. It covers model comparison, chunking strategies, dimension reduction, and multilingual content handling. Includes Python templates for OpenAI and Sentence Transformers to implement embedding pipelines effectively.

This skill guides users in designing and reviewing polished user interfaces with a focus on animation, interaction feedback, component craftsmanship, and accessibility. It helps implement motion reviews and ensure keyboard accessibility and reduced-motion behavior. Suitable for frontend development tasks requiring high-quality UI polish and adherence to safety boundaries.

Map the emotional journey of customers across content, emails, or sales decks to guide them from attention to action using psychological frameworks like narrative transportation and peak-end effects.

This skill guides developers in selecting the right game engine or framework based on platform, genre, and architecture. It covers comparisons between tools like Phaser, Unity, Godot, and Three.js, helping decide between full engines and hybrid DOM solutions for web and non-web projects.

This skill guides developers in setting up complete development environments from scratch. It provides step-by-step instructions for installing tools, configuring dependencies, managing environment variables, and verifying setups across different operating systems like macOS, Linux, and Windows. Ideal for new projects, onboarding team members, or troubleshooting environment issues.

This skill specializes in debugging distributed systems and analyzing production incidents. It helps identify root causes of errors using observability tools, structured logging, and distributed tracing. You will implement fixes, establish preventive measures, and improve system reliability. Suitable for investigating recurring errors and designing error handling improvements.

This skill enables you to implement comprehensive error monitoring and observability solutions. You will set up error tracking systems, configure alerts, and implement structured logging to help teams quickly identify and resolve production issues. It covers real-time error detection, meaningful alerts, error grouping, and integration with popular error tracking services for improved system reliability.

This skill searches logs and codebases for error patterns, stack traces, and anomalies. It correlates errors across systems to identify root causes. Use it for building evidence-backed timelines for failures, comparing request outcomes, and analyzing stack traces. It supports log aggregation queries and anomaly detection to provide actionable findings and prevention strategies.

This skill assists in implementing comprehensive error monitoring solutions for software applications. It covers setting up error tracking systems, configuring intelligent alerts, and implementing structured logging to evaluate monitoring quality. The goal is to ensure teams can quickly identify and resolve production issues through real-time error detection, meaningful alerts, error grouping, and integration with popular observability services.

This skill enables AI-assisted debugging of software failures using reproduction steps, logs, and traces. It helps generate hypotheses, analyze observability data, and verify fixes without fabricating evidence. Suitable for intermittent incidents and production issues requiring evidence-driven root cause analysis.

This skill provides guidance on implementing robust error handling strategies to build highly resilient applications. It covers advanced patterns such as circuit breakers, retries, and handling asynchronous errors, ensuring that the application fails gracefully and provides excellent debugging experiences for both developers and end-users.