nuxt-ui-v4
Production-ready Nuxt UI v4 component library featuring 125+ accessible components, Tailwind CSS v4, Reka UI, and specialized dashboard, chat, and editor layouts.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
172 skills found
Production-ready Nuxt UI v4 component library featuring 125+ accessible components, Tailwind CSS v4, Reka UI, and specialized dashboard, chat, and editor layouts.
Python coding assistant providing best practices, PEP 8 enforcement, automated testing with pytest, and dependency management using uv.
A guide for building high-quality MCP (Model Context Protocol) servers in Python or TypeScript to integrate external APIs and services into LLM workflows.
Reference for all MCP tools exposed by the CCOS server, enabling capability discovery, session management, and governed RTFS execution for autonomous agent workflows.
A highly customized personal garden based on Quartz v4, featuring enhanced Markdown parsing, telescopic text, TikZ/pseudocode rendering, and Obsidian integration.
Enforce best practices for Dinero.js. Use when handling monetary values, performing arithmetic, or refactoring code to ensure safe, type-safe, and accurate currency calculations in JS/TS applications.
Guide new contributors through the Chops development environment, including prerequisite checks, project generation via xcodegen, and architecture orientation.
A specialized tool for generating single-file HTML user interfaces with integrated Tailwind CSS, perfect for rapid prototyping, UI exploration, and design inspiration.
Standardized workflow and checklist assistant for MassGen release documentation, covering changelogs, Sphinx docs, case studies, and roadmap synchronization.
Generate professional MATLAB plain text Live Scripts (.m files) with rich text documentation, mathematical equations, and visualization code following specific formatting standards.
Framework for building, testing, and deploying automated trading strategies for prediction markets using Python.
UI component patterns and touch input handling for M5Stack Tab5 applications using M5GFX and LVGL.