Skill UI

AudioCraft is Meta’s PyTorch toolkit for text-to-music and text-to-sound creation via MusicGen, AudioGen and EnCodec, making it ideal for prototyping music apps, effects, and controllable stereo pieces.

AudioCraft is Meta’s PyTorch toolkit for text-to-music and text-to-sound creation via MusicGen, AudioGen and EnCodec, making it ideal for prototyping music apps, effects, and controllable stereo pieces.

Chroma is an open-source, AI-native embedding database designed for building sophisticated LLM applications. It allows users to store high-dimensional embeddings and associated metadata, facilitating powerful vector search and full-text filtering. Ideal for implementing Retrieval-Augmented Generation (RAG) systems, semantic search, and document retrieval in local or self-hosted environments, making it perfect for open-source AI projects and prototyping.

This skill enables the generation of high-quality images and videos using advanced fal.ai AI models. It is designed for creative professionals, artists, and developers who require powerful, generative visual content. Use this when your task involves transforming text prompts into sophisticated visual media, making it ideal for concept art, multimedia prototyping, or advanced content creation.

This skill provides foundational examples for interacting with Guidewire's core cloud APIs, including PolicyCenter, ClaimCenter, and BillingCenter. It demonstrates how to execute initial RESTful API calls, query resources (like accounts and claims), and understand common API response structures, pagination, and error handling patterns. Ideal for connectivity testing, learning Guidewire's REST structure, and prototyping basic insurance integrations.

HuggingFace Accelerate adds distributed support to any PyTorch script with just four lines, providing a unified API for DDP, DeepSpeed, FSDP, and Megatron, plus automatic device placement, mixed precision, and simple launch/config commands for fast prototyping.

LangChain accelerates building LLM-powered agents, RAG pipelines, and chatbots by orchestrating models, chains, tools, memory, and vector stores across major providers for rapid prototyping or production deployment.

Guides building productivity-first tools by scratching your own itch—rapid prototyping, CLI/local-first apps, scripting to product evolution, and dogfooding for reliable personal workflows.

Defines the Research Engineer role, focused on investigating problems, prototyping solutions, and bridging research with engineering execution even when detailed documents are unavailable.

Stable Baselines3 is a robust, PyTorch-based library providing production-ready implementations of core reinforcement learning algorithms (PPO, SAC, DQN, etc.). It facilitates the training of single-agent RL models, supports the creation of custom Gymnasium environments, and handles advanced parallel training via vectorized environments. It is ideal for rapid prototyping and rigorous RL experiments.

This skill provisions instant, temporary PostgreSQL databases via Neon. It eliminates the need for user sign-up, logins, or credit cards, making it ideal for rapid local development, API prototyping, and isolated testing environments. Supports multiple methods including REST API calls, CLI commands, and SDK integration.

A specialized scripting language for Makepad, enabling advanced dynamic UI generation, complex workflow automation, and rapid application prototyping. It supports asynchronous operations (HTTP requests, timers) and is designed for integrating sophisticated, AI-assisted logic into application workflows.