Skill UI

scvi-tools is a comprehensive Python framework for probabilistic deep generative models in single-cell genomics. Built on PyTorch and PyTorch Lightning, it enables batch correction, transfer learning, differential expression analysis with uncertainty, and multi-modal data integration. Best for advanced modeling of single-cell RNA-seq, ATAC-seq, CITE-seq, spatial transcriptomics, and specialized modalities like methylation and cytometry.

Load Hugging Face Hub models, run pipeline inference, generate text, and fine-tune with the Trainer API across NLP, vision, audio, and multimodal tasks using Python and PyTorch.

This guide covers advanced usage of the Anthropic Messages API. Learn how to implement real-time streaming responses, utilize system prompts for persona control, process visual inputs (Vision), and enforce structured data output (JSON). This is essential for building sophisticated, robust, and multi-modal Claude-powered applications.

This skill provides the comprehensive workflow for interacting with the Anthropic Messages API. It covers advanced features including streaming responses, multimodal vision input, generating structured JSON output using system prompts, and managing multi-turn conversations. It redirects users to the current, primary guide for all Claude API patterns.

A deep dive into handling typed content blocks (text, image, tool_use, thinking, document) in LangChain 1.0. This skill standardizes multi-modal message composition, tool-call iteration, and complex content handling across providers like Claude, GPT-4o, and Gemini, solving key API discrepancies.

This powerful CLI allows users to interact with the MiniMax AI platform directly from the terminal. It supports generating and managing diverse multi-modal content, including text, images, video, speech, and music, in addition to performing web searches and analyzing images. It is essential for integrating complex AI capabilities into automated workflows, CI/CD pipelines, or agent-based systems.

This guide provides expert CRO strategies for optimizing in-app monetization moments, such as paywalls, upgrade modals, and upsell prompts. It covers the entire user journey from freemium conversion and usage limit management to trial expiration. Learn core principles like 'Value Before Ask' and how to design friction-free, high-converting components to maximize paid adoption.

This comprehensive guide provides expert strategies for optimizing popups, modals, and overlays to maximize conversions. It covers best practices for various triggers—including exit intent, scroll depth, and click actions—and details the copy, design, and psychological principles needed to capture leads and drive sales without negatively impacting the user experience.

A comprehensive guide to optimizing in-app paywalls, upgrade modals, and upsell features. This skill covers best practices for transitioning free users to paid subscribers, focusing on value demonstration, proper timing (after the 'aha' moment), and structuring conversion paths for maximum impact.

This guide provides expert strategies for optimizing popups, modals, overlays, and banners to maximize conversion rates without irritating users. It covers various trigger methods like exit intent, scroll depth, and click actions, along with best practices for design, copy, and targeting specific goals such as lead capture or promoting discounts.

The BIDS skill provides a comprehensive framework for organizing, standardizing, and managing complex neuroscience and biomedical datasets. It covers querying, validating, and converting various modalities (MRI, EEG, MEG, etc.) to ensure compliance with the BIDS standard for research reproducibility and efficient data sharing.

Fast local parsing of PDFs, Office files, and images with per-token bounding boxes. Extract spatial text, run OCR on scans, produce layout-preserved JSON for RAG, batch-ingest folders, and render pages to PNG for multimodal agents. Fully local, no cloud API.