code-review
Open Source framework for voice and multimodal conversational AI
Navegue e instale milhares de habilidades para AI Agents no diretório Killer-Skills. Compatível com Claude Code, Windsurf, Cursor e mais.
This directory brings installable AI Agent skills into one place so you can filter by search, category, topic, and official source, then install them directly into Claude Code, Cursor, Windsurf, and other supported environments.
Organic recovery should flow through fewer, stronger, first-party entry points instead of a flat bulk-skill corpus.
Curated collection pages carry clearer topical scope, stronger first-party framing, and safer canonical signals than bulk skill listings.
Installation docs prove the site offers first-party setup guidance, not just discovery wrappers.
A workflow-first collection that explains why related skills belong together and what job they solve.
A platform-specific collection for one of the clearest demand clusters in the product ecosystem.
A platform collection that turns IDE demand into a stronger curated hub.
A Gemini-specific collection that turns compatibility research into a curated install path for real delivery teams.
A Python engineering collection built for teams choosing installable workflow helpers instead of browsing raw packages.
A typed-development collection that helps product teams shortlist TypeScript workflow tools with clear next steps.
Open Source framework for voice and multimodal conversational AI
Create story examples for components. Use when writing stories, creating examples, or demonstrating component usage.
Transformers.js permite executar modelos de aprendizado de máquina de ponta em JavaScript, tanto em navegadores quanto em ambientes Node.js, sem necessidade de servidor.
Hugging Face Jobs é uma habilidade de agente de IA que permite executar trabalhos em nuvem para processamento de dados e treinamento de modelos
This skill trains language models using TRL on Hugging Face infrastructure, covering SFT, DPO, GRPO, and reward modeling. It benefits developers by providing cloud GPU training and GGUF conversion for local deployment.
O que é o huggingface-paper-publisher? É um skill que permite publicar e gerenciar artigos de pesquisa no Hugging Face Hub.
Trains and fine-tunes vision models for object detection (D-FINE, RT-DETR v2, DETR, YOLOS), image classification (timm models — MobileNetV3, MobileViT, ResNet, ViT/DINOv3 — plus any Transformers classifier), and SAM/SAM2 segmentation using Hugging Face Transformers on Hugging Face Jobs cloud GPUs...
The Hugging Face Papers skill enables developers to look up and read AI research papers in markdown, and access structured metadata such as authors and linked models. This skill benefits developers and researchers by providing easy access to AI research insights.
Track and visualize ML training experiments with Trackio. Use when logging metrics during training (Python API), firing alerts for training diagnostics, or retrieving/analyzing logged metrics (CLI). Supports real-time dashboard visualization, alerts with webhooks, HF Space syncing, and JSON output for automation.
This skill enables developers to test Hugging Face models locally, streamlining backend selection and model comparisons. It supports inspect-ai and lighteval for efficient evaluations.
Build Gradio web UIs and demos in Python. Use when creating or editing Gradio apps, components, event listeners, layouts, or chatbots.
Use this skill for Hugging Face Dataset Viewer API workflows that fetch subset/split metadata, paginate rows, search text, apply filters, download parquet URLs, and read size or statistics.