Total 56,150 skills, AI & Machine Learning has 9353 skills
Showing 12 of 9353 skills
Runs .continue/agents checks locally against the current diff, simulating the GitHub PR checks experience. Use when the user says /check to review their changes before pushing.
Design and build websites using AI coding agents with static site generators. Covers Astro-first workflow, iterative visual refinement via browser feedback, skill-enhanced prompting (frontend-design, copywriting), animations, and high-bar polish loops. Use when building a website with an AI agent, designing landing pages, or iterating on web design with LLM assistance.
Publish and update agent skills on agentskill.sh and skills.sh marketplaces. Covers SKILL.md preparation, submission, verification, and ongoing sync. Use when the user mentions publishing skills, listing on marketplace, updating skill listings, or asks about agentskill.sh or skills.sh.
Ollama API Documentation
World-class computer vision skill for image/video processing, object detection, segmentation, and visual AI systems. Expertise in PyTorch, OpenCV, YOLO, SAM, diffusion models, and vision transformers. Includes 3D vision, video analysis, real-time processing, and production deployment. Use when building vision AI systems, implementing object detection, training custom vision models, or optimizing inference pipelines.
Transform user requests into detailed, precise prompts for AI models. Use when users say "promptify", "promptify this", or explicitly request prompt engineering or improvement of their request for better AI responses.
Provides guidance for mechanistic interpretability research using TransformerLens to inspect and manipulate transformer internals via HookPoints and activation caching. Use when reverse-engineering model algorithms, studying attention patterns, or performing activation patching experiments.
Molecular featurization for ML (100+ featurizers). ECFP, MACCS, descriptors, pretrained models (ChemBERTa), convert SMILES to features, for QSAR and molecular ML.
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.
Vercel AI SDK for building chat interfaces with streaming. Use when implementing useChat hook, handling tool calls, streaming responses, or building chat UI. Triggers on useChat, @ai-sdk/react, UIMessage, ChatStatus, streamText, toUIMessageStreamResponse, addToolOutput, onToolCall, sendMessage.
Generate images and videos using Kling AI API. Use when creating AI-generated images from text prompts, converting images to videos, or generating videos from text descriptions.
Ligand-aware protein sequence design using LigandMPNN. Use this skill when: (1) Designing sequences around small molecules, (2) Enzyme active site design, (3) Ligand binding pocket optimization, (4) Metal coordination site design, (5) Cofactor binding proteins. For standard protein design, use proteinmpnn. For solubility optimization, use solublempnn.