Skill UI

A comprehensive guide for loading, configuring, and optimizing textures in Three.js. Covers texture types, UV mapping, environment maps, cubemaps, HDR workflows, and texture settings. Ideal for tasks involving images, UV coordinates, surface detail, and material inputs.

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.

Train and fine-tune transformer language models with Hugging Face TRL via CLI. Covers SFT, DPO, GRPO, RLOO, KTO and reward model training, plus LoRA adapters, YAML configs and distributed multi-GPU runs.

Analyze Monte Carlo monitor reports to identify alert patterns and recommend configuration changes that reduce noise while preserving important signals. Supports metric, custom SQL, validation, and table monitors. Fetches reports, identifies firing patterns, and suggests concrete tuning parameters.

Configure Turborepo for efficient monorepo builds using local and remote caching strategies. This skill covers setting up build pipelines, optimizing CI/CD performance, and implementing distributed caching solutions like Vercel or self-hosted servers. It includes managing cache keys, outputs, and filtering packages for faster development workflows.

This skill provides an interactive wizard to configure your project's design system step-by-step. It guides you through selecting app type, brand colors, design concepts, fonts, and generating the initial app page. It supports React and Tailwind-v4 stacks, ensuring consistent styling via StyleSeed. Use it for new projects needing a complete UI setup.

This skill humanizes natural-language memory files like CLAUDE.md, AGENTS.md, and docs by removing AI-isms and adding burstiness. It offers deterministic and LLM modes, preserves code blocks, URLs, paths, and headings, and creates backups. Ideal for cleaning up AI-generated content in configuration files and documentation.

This skill provides comprehensive guidelines for upgrading Expo SDK versions and resolving dependency conflicts. It covers migration paths for React 19, new architecture, and deprecated packages like expo-av. Users will learn step-by-step processes including cache clearing, prebuild configuration, and updating app.json settings. It also addresses Hermes engine v1 adoption and Metro configuration changes. Essential for maintaining modern React Native projects.

Manage environment variables and secrets safely so credentials never leak into Claude sessions, terminal output, logs, or git commits. Useful for configuring apps, CI pipelines, and shared repos while keeping API keys and tokens protected from accidental exposure.

Expert in vector databases, embedding strategies, and semantic search implementation. Proficient with tools like Pinecone, Weaviate, Qdrant, Milvus, and pgvector for RAG applications, recommendation systems, and similarity search. Optimizes index configuration, hybrid search, and performance tuning for scalable AI systems.

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.

A comprehensive automation toolkit designed to manage the entire Vercel deployment lifecycle and associated infrastructure. Users can programmatically monitor, trigger, and manage deployments, configure custom domains and DNS records, manage environment variables across multiple targets, and oversee project settings and project listings. Essential for implementing robust CI/CD pipelines and managing cloud infrastructure.