Skill UI

A comprehensive multi-agent feedback loop inspired by Generative Adversarial Networks (GANs), designed to build complex, production-ready applications. It separates generation from evaluation, using a 'ruthlessly strict' evaluator (QA) to drive continuous iteration. This process ensures high design quality, robust functionality, and originality, overcoming the limitations of single-agent self-critique. Ideal for full-stack feature development and complex product specification implementation.

Creates a machine-readable specification template tailored for Generative AI solutions, covering purpose, requirements, constraints, interfaces, dependencies, and validation so implementation stays unambiguous.

This guide provides a comprehensive template and best practices for updating technical specification files. It ensures that the resulting documentation is structured, unambiguous, and highly optimized for consumption by Generative AI models. Use this process when refining system requirements, updating interfaces, or documenting architectural changes to maintain machine-readable standards.

scvi-tools is a comprehensive Python framework utilizing deep generative models and variational inference for analyzing diverse single-cell data modalities. It excels in complex analyses such as probabilistic batch correction (scVI), multi-modal integration (MultiVI), and differential expression analysis with uncertainty. It supports single-cell RNA-seq, ATAC-seq, and various multi-omics datasets, providing advanced tools for modern genomic research.

This workflow implements Abridge's end-to-end clinical documentation pipeline. It captures ambient audio from patient encounters, performs real-time transcription, utilizes generative AI to structure the medical notes (e.g., SOAP, H&P), generates required medical codes (ICD-10, CPT), and finally inserts the structured data directly into the EHR system. Designed for primary clinical encounters, minimizing manual charting time.

Execute a comprehensive creative workflow utilizing the Adobe Firefly v3 API. This tool supports advanced AI image generation from text prompts (text-to-image), generative fill for inpainting masked areas, and image expansion (outpainting) to grow canvas size. Ideal for automating marketing asset creation and building complex creative pipelines.

This integration provides programmatic access to Runway's powerful AI creative platform. Use it for advanced tasks such as generating high-definition videos from text prompts, performing image-to-video transformations, or applying complex creative AI filters. It is essential for developers building applications that require cinematic, generative media capabilities.

This skill provides the comprehensive reference architecture and implementation patterns for integrating Runway's advanced AI capabilities. It focuses on guiding developers through the process of AI video generation, image-to-video conversion, and creative content creation using the dedicated Python SDK. Use this when building applications that require high-quality, generative visual media.

This guide provides a comprehensive tutorial on running various AI inference tasks using the Together AI API, which is compatible with the OpenAI standard. It demonstrates key functionalities including chat completions, streaming responses, image generation, and creating embeddings. This is ideal for developers who need to test open-source models, compare performance across different LLMs (like Llama or Mixtral), or integrate powerful generative AI features into their applications using Python or Node.js.

A comprehensive audio generation skill designed for professional multimedia content creation. It handles three types of audio output: music (jingles, beds), voiceovers (TTS), and sound effects (SFX). The skill intelligently routes requests to advanced models like Suno V5, Udio, MiniMax TTS, and ElevenLabs, producing a single, high-quality MP3 or WAV file ready for use in marketing, video, or podcast production.

A powerful, provider-agnostic skill dedicated to generating high-quality, single-image assets such as posters, key art, and editorial illustrations. This tool utilizes a structured, multi-step prompt composition workflow (Subject, Lighting, Palette, Camera) to ensure cinematic and artistic consistency, regardless of the underlying AI model (Flux, Imagen, Midjourney). Ideal for designers needing professional-grade visual concepts.

A powerful utility that queries multiple free APIs (Pexels, Pixabay, Internet Archive, etc.) in a single query. It retrieves normalized, license-tagged results for real-world, historical, or archival images, videos, and GIFs, making it a peer to local semantic search and generative media tools. Includes specialized scripts for fetching and judging audio.