927 boosters — open source, verified from GitHub, ready to install
A skill that helps developers create distinctive, production-grade frontend interfaces with polished aesthetics and creative design choices, avoiding generic AI-generated outputs. Ideal for developers building web components, pages, and applications who want professional design quality.
A skill booster that helps developers design and improve onboarding flows, empty states, and first-time user experiences to accelerate user adoption and value realization. Ideal for product teams and developers building user-facing applications.
The 'harden' booster helps developers make their interfaces production-ready by systematically addressing error handling, internationalization, text overflow, and edge cases. It's ideal for teams building robust web applications that need to handle real-world usage scenarios.
Distill helps developers simplify complex designs by stripping away unnecessary elements to reveal core functionality and clarity. Useful for engineers and designers iterating on features or refactoring existing components.
An audit skill that systematically evaluates interface quality across accessibility, performance, theming, and responsive design, generating prioritized reports with severity ratings and actionable recommendations. Ideal for developers and QA teams seeking to identify and document UI/UX issues before fixes are implemented.
A skill booster that helps developers redesign features to match their design system standards and ensure visual consistency across their codebase. Ideal for teams maintaining design systems or refactoring existing UIs.
A skill booster that adds strategic color to monochromatic UI features to improve visual engagement and expressiveness. Useful for developers and designers looking to enhance interface aesthetics within Claude Code environments.
A design refinement skill that tones down overly bold or aggressive visual elements while preserving design impact, useful for designers and developers seeking more subtle, approachable aesthetics.
Polish is a final quality assurance skill that refines UI/UX details like alignment, spacing, and consistency before deployment. It's useful for developers and designers who want to elevate finished features from good to production-ready.
A UX-focused design critique skill that evaluates interface effectiveness across visual hierarchy, information architecture, and emotional resonance, providing actionable feedback. Useful for designers and developers seeking structured design feedback within Claude Code.
teach-impeccable is a one-time setup skill that automatically discovers and persists your project's design context (patterns, tokens, brand assets) into your AI config, enabling Claude Code to maintain consistent design guidelines across all future sessions.
The animate booster helps developers enhance UI features with purposeful animations and micro-interactions that improve usability and user delight. It's ideal for product engineers and designers working in Cursor who want to add polish and feedback mechanisms to their interfaces.
Extract helps developers systematically identify and consolidate reusable components, design tokens, and UI patterns into a centralized design system. This booster benefits design system maintainers and teams building consistent, scalable component libraries.
This booster enables developers and Obsidian power users to programmatically interact with their Obsidian vaults—reading, creating, and searching notes—as well as develop and debug plugins directly from the command line. It's ideal for users who want CLI-based vault automation or are building Obsidian extensions.
Train language models using TRL (Transformer Reinforcement Learning) on fully managed Hugging Face infrastructure. No local GPU setup required—models train on cloud GPUs and results are automatically saved to the Hugging Face Hub. Use this skill when users want to: Use Unsloth () instead of standard
Gradio is a Python library for building interactive web UIs and ML demos. This skill covers the core API, patterns, and examples. Detailed guides on specific topics (read these when relevant): Creates a textarea for user to enter string input or display string output..
This skill provides comprehensive tools for AI engineers and researchers to publish, manage, and link research papers on the Hugging Face Hub. It streamlines the workflow from paper creation to publication, including integration with arXiv, model/dataset linking, and authorship management. The inclu
Your purpose is now is to create reusable command line scripts and utilities for using the Hugging Face API, allowing chaining, piping and intermediate processing where helpful. You can access the API directly, as well as use the command line tool. Model and Dataset cards can be accessed from repos
Hugging Face Paper pages (hf.co/papers) is a platform built on top of arXiv (arxiv.org), specifically for research papers in the field of artificial intelligence (AI) and computer science. Hugging Face users can submit their paper at hf.co/papers/submit, which features it on the Daily Papers feed (h
Provides the Hugging Face Hub CLI (`hf`) tool for downloading, uploading, and managing models, datasets, and Spaces directly from Claude Code. Essential for developers integrating Hugging Face resources into AI workflows.
Train object detection, image classification, and SAM/SAM2 segmentation models on managed cloud GPUs. No local GPU setup required—results are automatically saved to the Hugging Face Hub. Use this skill when users want to: Helper scripts use PEP 723 inline dependencies. Run them with :
Use this skill to execute read-only Dataset Viewer API calls for dataset exploration and extraction. 1. Optionally validate dataset availability with . 2. Resolve + with .
Transformers.js enables running state-of-the-art machine learning models directly in JavaScript, both in browsers and Node.js environments, with no server required. Use this skill when you need to: The pipeline API is the easiest way to use models. It groups together preprocessing, model inference,
Trackio is an experiment tracking library for logging and visualizing ML training metrics. It syncs to Hugging Face Spaces for real-time monitoring dashboards. Use in your training scripts to log metrics: → See references/logging_metrics.md for setup, TRL integration, and configuration options.
