Skill UI

ZAI CLI provides comprehensive access to Z.AI's advanced capabilities, including image/video analysis, real-time web search, web page extraction, and GitHub code exploration. It is designed for users needing multi-modal content analysis, error diagnosis, and complex data processing through a unified command-line interface. Ideal for developers and analysts requiring robust, API-driven AI functionality.

Modal delivers cloud-native serverless Python with on-demand GPUs, persistent storage, and web endpoints to deploy ML workloads, batch jobs, and APIs without writing Dockerfiles.

Probabilistic deep-learning framework built on PyTorch for single-cell omics; handles batch correction, integration, multimodal and spatial data, differential expression, and transfer learning with unified APIs.

Transform briefs into cinematic videos via Seedance 2.0, guiding text/image/video/audio inputs through director-level directives, multimodal tagging, and synchronized sound for 4-15s outputs.

This comprehensive guide covers all aspects of integrating the Google Gemini API into your applications using Python or Node.js. It details basic text generation, advanced multimodal inputs (text, image, audio), streaming responses, function calling/tool use, multi-turn chat implementation, and production best practices like model selection and robust error handling.

This skill provides comprehensive guidelines and automated checks for auditing and fixing HTML accessibility violations. It covers critical WCAG areas including proper ARIA labeling, full keyboard navigation support, focus management for modals and dialogs, color contrast adherence, and robust form error handling. Use it when developing any interactive UI component or reviewing existing code for accessibility compliance.

This assistant is an expert guide for developing user interfaces using the Makepad framework. It helps users write, explain, and troubleshoot code for a comprehensive set of widgets, including containers (View, PortalList), input controls (TextInput, Slider), navigation elements (TabBar, Modal), and media components. It adheres to best practices, providing structured code patterns and detailed usage documentation for building complex, modern UIs.

Guides product and marketing teams to design in-app paywalls, upgrade prompts, and upsell modals that surface once users have experienced value, presenting clear benefits, frictionless paths, and respectful choices to convert free or trial accounts to paid tiers.

Guides experts through creating and testing popups, modals, overlays, banners, and slide-ins that capture leads or drive promotions without annoying visitors, covering triggers, targeting, creative variants, and experiment ideas.

A comprehensive guide and set of best practices for designing reusable, production-ready widgets in Makepad. This skill covers advanced UI patterns such as modal overlays, collapsible sections, drag-and-drop functionality, and dynamic text/image toggling, ensuring robust and consistent component architecture.

A framework for building production-ready, low-latency, multimodal AI agents. It allows developers to orchestrate complex pipelines that seamlessly handle real-time audio, video, and text data. Key capabilities include integrating multiple AI services (LLMs, STT, TTS), managing conversation context, and enabling tool use and function calling for advanced, interactive AI applications.

A comprehensive skill set for senior transportation managers overseeing a large, multi-modal carrier portfolio. It covers the full lifecycle of carrier engagement, including sourcing, compliance checks (FMCSA SAFER), executing complex RFPs, negotiating granular rate components (linehaul, FSC, accessorials), and establishing performance scorecards. Use this skill to optimize logistics costs, mitigate supply chain risks, and ensure consistent service quality across varied freight types.