Skill UI

This comprehensive workflow provides a complete cycle of quality assurance for software development. It covers every stage from defining the test strategy (TDD, Unit Testing) through integration, E2E testing, browser automation, performance profiling, security scanning, and final code review. Use this when setting up robust testing infrastructure or ensuring production-ready software quality.

Implement production bloom in advanced Three.js scenes, covering HDR signal ordering, bloom-node controls, dual selective bloom with material restoration, emissive hierarchy, and effect-isolation diagnostics.

Build production-grade procedural meshes in Three.js: profile extrusion, lofts, revolve, sweep, solidify, bevels and apertures, plus topology, coplanar, clash and semantic quality gates for hard-surface assemblies and humanoid robots.

Author production-grade procedural materials in Three.js, including PBR surfaces, displacement, masks, optical effects, and physically based shading for realistic 3D scenes.

Author production-grade real-time visual effects in Three.js, covering HDR lens flares, volumetric aurora, WebGPU fire and smoke, holographic projections, sparks, debris, and reentry plasma with reusable shader examples.

This skill implements a production-grade GTAO path in Three.js, utilizing half-resolution horizon sampling and reversed-depth reconstruction. It includes bent-normal encoding, full-resolution bilateral reconstruction, and environment-light application to enhance contact grounding and halo diagnosis without darkening direct light or emission.

This skill enables building production-ready analytic and bounded water systems in Three.js. It covers photorealistic shallow water simulation using gravity-capillary FFT waves, dispersive caustics, ray-traced volume optics, and Beer-Lambert absorption. Ideal for creating realistic pool, ocean, and water surface effects with accurate normals, refraction, and foam generation.

Train or fine-tune SentenceTransformer, CrossEncoder, and SparseEncoder models for retrieval, similarity, clustering, classification, reranking, and embedding tasks. This skill provides production-ready templates with proper loss functions, evaluators, and training configurations for various NLP tasks including bi-encoder, reranker, and sparse vector models.

This skill provides production-grade patterns for Unity's Data-Oriented Technology Stack (DOTS). It covers essential components like Entity Component System (ECS), the Job System, and the Burst Compiler, enabling developers to build high-performance, scalable games. Use this when optimizing CPU-bound logic, managing thousands of entities, or migrating traditional OOP game code to a data-oriented design.

Unship is a dedicated local workflow for front-end developers to compare multiple AI-generated UI alternatives (such as layouts, copy, or flows) directly within a running application environment. Instead of committing to one generated version, it adds temporary source-level variants, allowing for visual comparison. After the user selects the final version, the skill automatically cleans up all unused temporary code and attributes, ensuring a clean, production-ready codebase. Note: This tool is for local iteration only, not for production A/B testing or analytics.

Deploy, configure, and optimize production vector databases such as Qdrant, Weaviate, pgvector, and Pinecone for RAG, semantic search, and recommendations, covering collection design, HNSW indexing, quantization, and multi-tenant filtering.

This comprehensive guide outlines best practices for optimizing vector indexes for production systems. It covers critical techniques such as tuning HNSW parameters, implementing quantization strategies, and optimizing memory usage. Use this when you need to balance search latency, recall, and scalability for large-scale vector databases.