14,560 skills found ยท Page 97 of 486
huggingface / huggingface-paper-publisherPublish and manage research papers on Hugging Face Hub. Supports creating paper pages, linking papers to models/datasets, claiming authorship, and generating professional markdown-based research articles.
huggingface / huggingface-spacesBuild, deploy, and maintain applications on Hugging Face Spaces โ Gradio / Docker / Static SDKs, ZeroGPU and dedicated hardware, model loading, debugging, buckets, inference providers, community grants
huggingface / huggingface-vision-trainerTrains and fine-tunes vision models for object detection (D-FINE, RT-DETR v2, DETR, YOLOS), image classification (timm models โ MobileNetV3, MobileViT, ResNet, ViT/DINOv3 โ plus any Transformers classifier), and SAM/SAM2 segmentation using Hugging Face Transformers on Hugging Face Jobs cloud GPUs.
huggingface / transformers-jsUse Transformers.js to run state-of-the-art machine learning models directly in JavaScript/TypeScript. Supports NLP (text classification, translation, summarization), computer vision (image classification, object detection), audio (speech recognition, audio classification), and multimodal tasks.
huggingface / hf-cloud-python-env-setupSet up an isolated Python environment for SageMaker / AWS work, with the right Python version and current boto3. Use this skill whenever Python code will be executed for a SageMaker deployment, training job, or any AWS automation โ including when about to run `pip install`, when about to invoke `botโฆ
huggingface / hf-cloud-sagemaker-iam-preflightEnsure a usable SageMaker execution role exists before deploying or training. Use this skill whenever about to create a SageMaker endpoint, model, training job, or any resource that requires an execution role.
huggingface / huggingface-community-evalsRun evaluations for Hugging Face Hub models using inspect-ai and lighteval on local hardware. Use for backend selection, local GPU evals, and choosing between vLLM / Transformers / accelerate. Not for HF Jobs orchestration, model-card PRs, .eval_results publication, or community-evals automation.
huggingface / huggingface-papersLook up and read Hugging Face paper pages in markdown, and use the papers API for structured metadata such as authors, linked models/datasets/spaces, Github repo and project page
huggingface / hf-cloud-serving-image-selectionPick the right serving container for a SageMaker model deployment and find its current image URI. Use this skill whenever about to deploy a model to a SageMaker endpoint and an image URI needs to be chosen โ including when the user says "deploy this LLM", "host this HuggingFace model", "serve this fโฆ
huggingface / huggingface-lora-space-builderBuild and publish a Gradio demo on Hugging Face Spaces for a user-provided LoRA
huggingface / huggingface-zerogpuAI demos and GPU compute with Gradio Spaces and Hugging Face Spaces ZeroGPU
huggingface / huggingface-bestUse when the user asks about finding the best, top, or recommended model for a task, wants to know what AI model to use, or wants to compare models by benchmark scores.
huggingface / huggingface-local-modelsUse to select models to run locally with llama.cpp and GGUF on CPU, Mac Metal, CUDA, or ROCm. Covers finding GGUFs, quant selection, running servers, exact GGUF file lookup, conversion, and OpenAI-compatible local serving.
huggingface / trl-trainingPost-train LLMs with TRL (Transformers Reinforcement Learning) โ SFT, DPO, GRPO, KTO, and reward-model training
huggingface / hf-mcpUse Hugging Face Hub via MCP server tools. Search models, datasets, Spaces, papers. Get repo details, fetch documentation, run compute jobs, and use Gradio Spaces as AI tools. Available when connected to the HF MCP server.
huggingface / train-sentence-transformersTrain or fine-tune sentence-transformers models across `SentenceTransformer` (bi-encoder, dense or static embedding model for retrieval, similarity, clustering, classification, paraphrase mining, dedup, multimodal), `CrossEncoder` (reranker, pair scoring for two-stage retrieval / pair classificationโฆ
huggingface / hf-cloud-aws-context-discoveryDiscover the user's local AWS context (active profile, region, account ID, caller identity) at the start of any AWS task. Use this skill before any other AWS work โ deploying to SageMaker, creating resources, calling AWS APIs, or anything that touches an AWS account.
huggingface / huggingface-datasetsUse 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.
huggingface / huggingface-tool-builderUse this skill when the user wants to build tool/scripts or achieve a task where using data from the Hugging Face API would help. This is especially useful when chaining or combining API calls or the task will be repeated/automated.
huggingface / hf-cliHugging Face Hub CLI (`hf`) for downloading, uploading, and managing models, datasets, spaces, buckets, repos, papers, jobs, and more on the Hugging Face Hub
huggingface / hf-cloud-sagemaker-deployment-plannerPlan and coordinate the deployment of a model to Amazon SageMaker AI. Use this skill whenever the user wants to deploy, host, serve, or expose a model on SageMaker or AWS โ including phrases like "deploy a model", "host this LLM on AWS", "serve this embedding model", "deploy a reranker", "deploy a tโฆ
huggingface / huggingface-gradioBuild Gradio web UIs and demos in Python
huggingface / hf-memHugging Face CLI to estimate the required memory to load Safetensors or GGUF model weights for inference from the Hugging Face Hub
huggingface / huggingface-trackioTrack and visualize ML training experiments with Trackio
xinnan-tech / xiaozhi-esp32-serverๆฌ้กน็ฎไธบxiaozhi-esp32ๆไพๅ็ซฏๆๅก๏ผๅธฎๅฉๆจๅฟซ้ๆญๅปบESP32่ฎพๅคๆงๅถๆๅกๅจใBackend service for xiaozhi-esp32, helps you quickly build an ESP32 device control server.
aden-hive / queen-colony-debugSOP for live debugging of queen sessions, colony forks, worker spawns, and tracker DB plumbing without touching the user's production Hive Desktop. Use this when something is wrong in the create_colony โ tracker โ run_parallel_workers โ worker pipeline.
aden-hive / hive.linkedin-automationRead before automating LinkedIn with browser_* tools. LinkedIn combines shadow DOM (#interop-outlet), strict Trusted Types CSP that silently drops innerHTML, Lexical composer, native beforeunload dialogs that hang the bridge, and aggressive spam filters โ each has bitten us at least once.
aden-hive / hive.x-automationRead before automating X / Twitter with browser_* tools. Verified flows for post, reply, delete, search-and-engage, plus the Draft.js compose quirks that silently disable the send button. Includes the daily-reply and job-market-reply playbooks.
aden-hive / hive.pdfRead, write, merge, split, rotate, watermark, encrypt, and OCR PDF files using Python (pypdf, pdfplumber, reportlab, pypdfium2) and command-line tools (poppler-utils, qpdf)
aden-hive / hive.slack-notifications-setupSet up a Slack notification channel (Sentinel) for a colony by driving the browser โ reuse or create the "Hive Sentinel" Slack app from a JSON manifest, install it, capture the bot + app tokens, create/select the channel via the Slack API, and turn Sentinel on so the colony can ping the user on Slacโฆ
