Browse and install thousands of AI Agent skills in the Killer-Skills directory. Supports Claude Code, Windsurf, Cursor, and more.
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.
This skill should be used when users want to run any workload on Hugging Face Jobs infrastructure. Covers UV scripts, Docker-based jobs, hardware selection, cost estimation, authentication with tokens
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 mod
huggingface-paper-publisher is a skill that enables AI researchers to publish and manage research papers on Hugging Face Hub, supporting paper creation, model/dataset linking, and authorship management.
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. Covers COCO-format dataset preparation, Albumentations augmentation, mAP/mAR evaluation, accuracy metrics, SAM segmentation with bbox/point prompts, DiceCE loss, hardware selection, cost estimation, Trackio monitoring, and Hub persistence. Use when users mention training object detection, image classification, SAM, SAM2, segmentation, image matting, DETR, D-FINE, RT-DETR, ViT, timm, MobileNet, ResNet, bounding box models, or fine-tuning vision models on Hugging Face Jobs.
huggingface-papers is a skill that enables users to access and summarize AI research papers from Hugging Face and arXiv.
huggingface-trackio is a Python library for logging and visualizing ML training metrics, supporting real-time dashboard visualization and alerts.
huggingface-community-evals is a skill for running local evaluations of Hugging Face models using inspect-ai and lighteval.
huggingface-gradio is a Python library for building interactive web UIs and ML demos, allowing developers to create custom Gradio apps and chatbots with ease.
huggingface-datasets is a skill for executing Hugging Face Dataset Viewer API workflows, enabling dataset exploration and extraction capabilities.
hf-cli is a command-line tool for interacting with the Hugging Face Hub, providing a seamless way to manage models, datasets, and Spaces.
README.md is a skill that enables natural language interaction with Neon Postgres databases, providing an intuitive interface for database management.
upgrade-stripe is a skill that assists developers in upgrading Stripe API versions and SDKs, providing a smooth transition and minimizing potential disruptions.