Skill UI

Master Temporal workflow orchestration using the Python SDK. Covers durable workflows, saga patterns, and distributed transactions. Includes guidance on async/await execution models, worker configuration, activity implementation, error handling, retry policies, and signal/query patterns. Ideal for building reliable, scalable distributed systems and production-ready workflow applications with Python.

Provision and manage Azure infrastructure with Terraform using the AzureRM provider, covering provider configuration, remote state, resource groups, VNets, AKS, Key Vault, examples, and production workflows.

This skill generates comprehensive TestNG tests in Java, supporting groups, data providers, parallel execution, and XML suite configuration. It helps users create robust test suites with listeners, soft assertions, and lifecycle annotations. Ideal for Java projects requiring automated testing, CI/CD integration, and scalable test execution strategies.

Master Three.js lighting techniques including ambient, directional, point, and spot lights. Learn to configure shadows, environment lighting, and optimize performance for realistic 3D scenes. Essential for web 3D development.

This skill covers Three.js material types including PBR, basic, Phong, and shader materials. It helps with styling meshes, applying textures, creating custom shaders, and optimizing material performance for 3D web applications.

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.

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.

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.

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.

This skill provides expert knowledge for deploying Next.js applications to the Vercel platform. It covers configuration, environment variables, and production deployment processes. Use this when users request hosting solutions, serverless functions, or edge functions specifically for Vercel. It ensures proper setup and validation before going live.

This skill performs an observability-first audit of deployed Vercel applications. It comprehensively analyzes production metrics, project configurations, and codebase scans to identify potential cost overruns and performance bottlenecks. It provides version-aware, actionable recommendations for improving application efficiency and reducing cloud expenditure.