669 boosters for "UI" — open source, verified from GitHub, ready to install
This skill generates reusable Relay-based Nodes components that: Activate this skill when users ask to: The skill automatically determines:
"name": "bmad-builder", "name": "Brian (BMad) Madison" "homepage": "https://github.com/bmad-code-org/bmad-builder",
Run this bash block first, before any analysis: This is the first time clearshot is running — no config exists yet. Before doing any analysis, tell the user to run the onboarding setup. Say something brief like: "clearshot needs a quick first-run setup (two questions, arrow keys + enter):"
"name": "@cyanheads/mcp-ts-core", "version": "0.2.11", "mcpName": "io.github.cyanheads/mcp-ts-core",
"name": "maui-skills", "name": "David Ortinau", "email": "daortin@microsoft.com"
ALWAYS use when: creating/editing marimo notebooks, working with any .py file containing @app.cell decorators, building reactive Python notebooks, doing exploratory data analysis in notebook form, converting Jupyter (.ipynb) to marimo, or when user mentions "marimo", "reactive notebook", or asks for an interactive Python notebook. Covers marimo CLI (edit, run, convert, export), UI components (mo.ui.*), layout functions, SQL integration, caching, state management, and wigglystuff widgets. If a task involves notebooks and Python, invoke this skill first.
A practical guide for deploying serverless Python applications on Modal, enabling developers to run GPU-accelerated AI/ML workloads, web APIs, and batch jobs with minimal infrastructure configuration.
This skill should be used when users want to train or fine-tune language models using TRL (Transformer Reinforcement Learning) on Hugging Face Jobs infrastructure. Covers SFT, DPO, GRPO and reward modeling training methods, plus GGUF conversion for local deployment. Includes guidance on the TRL Jobs package, UV scripts with PEP 723 format, dataset preparation and validation, hardware selection, cost estimation, Trackio monitoring, Hub authentication, and model persistence. Should be invoked for tasks involving cloud GPU training, GGUF conversion, or when users mention training on Hugging Face Jobs without local GPU setup.
A structured skill for creating Book Requirements Documents that guides users through systematic interviews and genre-specific considerations for fiction and nonfiction projects. Useful for authors, publishers, and AI writing assistants planning book projects.
A Next.js skill booster that teaches fullstack React patterns including routing, SSR/SSG, API routes, and deployment best practices. Ideal for developers building server-rendered React applications or configuring Next.js projects for production.
A local SQLite-based command-line task board for AI agents and developers to manage multi-step coding tasks, track progress, and coordinate work across sessions without external dependencies. Ideal for breaking down complex implementations into trackable subtasks with comments and checklists.
ZAI CLI is a command-line tool that brings AI-powered capabilities—including vision analysis, web search, page reading, and GitHub exploration—directly to developers and AI coding assistants. It's useful for developers who need programmatic access to vision, search, and code discovery features.
Implements UI/UX systems including responsive design, animations, input handling, HUD elements, and menu systems. Use when building game interfaces, menus, HUDs, or any user-facing UI.
A booster that helps developers optimize slow Python code through profiling, async/await patterns, and concurrent execution strategies. Ideal for Python developers dealing with performance bottlenecks who need guidance on measurement before optimization.
uni-cli is a unified command-line interface that enables AI agents to seamlessly interact with 25+ services (messaging, productivity, research, utilities) through a consistent pattern. Developers and AI builders benefit from simplified multi-service integration without learning individual APIs.
Bip is a CLI tool for managing academic references locally and searching papers via external APIs, designed for researchers and developers working with the bipartite reference library. It helps users efficiently organize and discover academic papers while prioritizing local search over external API calls.
Opportunity-Solution Trees help product teams structure discovery work and connect customer needs to solutions using Teresa Torres's framework. Useful for product managers, researchers, and developers deciding what to build and validating assumptions.
A Cursor AI rules template for building full-stack React 19 + Hono.js applications with SSR, Tailwind CSS, and Shadcn UI on Cloudflare Pages. Ideal for developers seeking an opinionated, production-ready stack with AI-assisted development guidance.
"name": "buildatscale-claude-code", "name": "BuildAtScale", "email": "hello@buildatscale.tv"
Systematic REST API development with error handling, validation, and consistent response formats. This Skill enforces: Apply when building API routes, handling errors, or designing responses.
A professional-grade frontend design skill that enables Claude Code to create interfaces following Apple's Human Interface Guidelines (HIG), achieving the quality standards of Apple's design team. Activate this skill when users request: 2. Deference (尊重内容)
"name": "mobile-observability", "description": "Expert guidance and automation for mobile app observability: crash reporting, performance monitoring, session replay, and instrumentation for iOS, Android, React Native, and Flutter.", "name": "Caleb Davis",
"name": "@paretools/bazel", "version": "0.16.1", "mcpName": "io.github.Dave-London/pare-bazel",
"name": "@paretools/jvm", "version": "0.16.1", "mcpName": "io.github.Dave-London/pare-jvm",
