productivity▌

This skill transforms a user's scattered multimodal assets (images, videos, audio) and ambiguous creative intent into a structured, executable prompt for the Seedance 2.0 video generation model. It acts as an expert prompt engineer, ensuring the highest quality output from the underlying model.

NeuroKit2 is a comprehensive Python toolkit for processing and analyzing physiological signals (biosignals). Use this skill to process cardiovascular, neural, autonomic, respiratory, and muscular signals for psychophysiology research, clinical applications, and human-computer interaction studies.

This skill guides you through implementing Metal kernels for PyTorch operators on Apple Silicon.

AI-generated music composition from text prompts with optional fine-grained control via composition plans. \n \n Supports prompt-based generation for instrumental tracks, songs with lyrics, background music, and jingles with configurable length in milliseconds \n Composition plans enable structured control over styles and sections; generate a plan, modify it, then compose for granular customization \n Includes compose_detailed method for retrieving audio alongside composition plan and metadata i

58 community-maintained best practices for shadcn/ui component development, organized by priority and impact. \n \n Covers 10 rule categories spanning CLI setup, component architecture, accessibility, styling, forms, data display, layout, composition, performance, and state management \n Each rule includes specific guidance on Radix primitives, Tailwind styling, React Hook Form integration, and accessibility compliance \n Prioritized by impact: CRITICAL rules for setup and architecture, HIGH for

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This skill uses a split structure for HIGH-RISK requirements:

This skill covers the Tauri v2 permission system for controlling frontend access to backend commands and system resources.

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A disciplined approach to writing code that communicates intent, minimizes surprises, and welcomes change. Apply these principles when writing new code, reviewing pull requests, refactoring legacy systems, or advising on code quality improvements.