Topic · AI & LLM Engineering
Best model hubs and datasets skills for Claude Code, Codex and other agents.
- skills
- 180
- official
- 30
Model hubs and datasets skills, ranked
Ranked by score. Sort bymost stars,trending,newest,recently updated
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Chooses the right serving container and current image URI for deploying a Hugging Face model to a SageMaker endpoint, preferring Hugging Face images over generic ones. | huggingface/ | 11k | 1 repo | ~4.6k | Automated safety check: Pass | Apache-2.0 | 6 days ago |
| 2 | Trains or fine-tunes language and vision models with TRL or Unsloth on Hugging Face Jobs cloud GPUs, then converts the results to GGUF. | huggingface/ | 11k | 3 repos | ~7.2k | Automated safety check: Pass | Apache-2.0 | 6 days ago |
| 3 | Runs lm-evaluation-harness to benchmark language models on academic suites such as MMLU, GSM8K and HumanEval, compare models and track training checkpoints. | Orchestra-Research/ | 13k | 8 repos | ~3k | Automated safety check: Pass | MIT | 3 mo ago |
| 4 | A skill your agent uses when adding or migrating non-thumbnail images for a Hugging Face Blog post. | huggingface/ | 3.5k | — | ~1.1k | Automated safety check: Pass | No licence | 2 days ago |
| 5 | Comprehensive news aggregator that fetches, filters, and deeply analyzes real-time content from 44+ sources including Hacker News, Lobsters, Dev.to, GitHub, arXiv, Hugging Face Papers, AIHOT, TLDR… | cclank/ | 1.3k | — | ~2.1k | Automated safety check: Pass | No licence | 4 mo ago |
| 6 | Generates code that transforms datasets between ML schemas for model training or evaluation. | awslabs/ | 912 | 2 repos | ~3.5k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 7 | Runs evaluations of Hugging Face Hub models on local hardware with inspect-ai or lighteval, and helps choose between vLLM, Transformers and accelerate backends. | huggingface/ | 11k | 2 repos | ~1.6k | Automated safety check: Pass | Apache-2.0 | 6 days ago |
| 8 | 8.Esmfold2 Biohub ESMFold2 / ESMFold2-Fast all-atom co-folding (Candido et al. | JimLiu/ | 227 | 4 repos | ~2.5k | Automated safety check: Pass | Apache-2.0 | 3 mo ago |
| 9 | A skill your agent uses whenever an Agent needs to query, find, install, deploy, update, tag, adopt, diagnose, or safely remove Skills Hub content, including natural-language requests to manage… | qufei1993/ | 1.7k | — | ~3.2k | Automated safety check: Pass | MIT | today |
| 10 | Complete agent-ready workflow for Qwen-family MTP or nextn GGUF conversion and release. | R6410418/ | 1.7k | — | ~1.7k | Automated safety check: Pass | MIT | 2 mo ago |
| 11 | Indexes research papers on the Hugging Face Hub from arXiv, links them to models and datasets, claims authorship and generates markdown research articles from templates. | huggingface/ | 11k | 5 repos | ~4.2k | Automated safety check: Pass | Apache-2.0 | 6 days ago |
| 12 | Releases a new imcui version on GitHub, then deploys it to a test and a production Hugging Face Space from a dedicated huggingface branch. | Vincentqyw/ | 1.3k | — | ~721 | Automated safety check: Pass | Apache-2.0 | yesterday |
| 13 | Shows how to load, train and use fast Hugging Face tokenizers, with BPE, WordPiece and Unigram models, padding, truncation and alignment tracking. | Orchestra-Research/ | 13k | 7 repos | ~3.4k | Automated safety check: Pass | MIT | 3 mo ago |
| 14 | Builds reusable command line scripts that fetch, enrich or process data from the Hugging Face API, aimed at chained, repeated or automated tasks. | huggingface/ | 11k | 5 repos | ~1.5k | Automated safety check: Pass | Apache-2.0 | 6 days ago |
| 15 | Onboard a new model family (Nemotron or third-party) into skills/ — paper chunks, recipe summaries, context packs, and model card. | NVIDIA-NeMo/ | 2.1k | — | ~2.2k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 16 | Run the repository commit workflow when the user explicitly asks to commit changes or create a save-point commit. | Julian-adv/ | 1.8k | — | ~1.3k | Automated safety check: Pass | Unknown | 2 days ago |
| 17 | Daily paper/repo digest where YOU are the reader. An agent skill from AI45Lab/iDeer. | AI45Lab/ | 416 | — | ~2.3k | Automated safety check: Notes | AGPL-3.0 | 2 mo ago |
| 18 | Diagnose broken Hugging Face Gradio Spaces from their actual logs and pinned source, then prepare a minimal verified source fix as candidate files. | huggingface/ | 302 | — | ~1.8k | Automated safety check: Pass | MIT | today |
| 19 | Trains and fine-tunes object detection, image classification and SAM or SAM2 segmentation models on Hugging Face Jobs cloud GPUs and saves the results to the Hub. | huggingface/ | 11k | 1 repo | ~7.5k | Automated safety check: Pass | Apache-2.0 | 6 days ago |
| 20 | Guide for adding a new model to the Archon engine. An agent skill from areal-project/AReaL. | areal-project/ | 5.8k | — | ~4.9k | Automated safety check: Pass | Apache-2.0 | 4 days ago |
| 21 | Generate a game-ready 3D asset by running the local AI pipeline sequentially: Fooocus (SDXL text-to-image) - Hunyuan3D-2 (image-to-textured-GLB) - optional Blender FBX convert + Unreal import. | LaurentiuGabriel/ | 146 | — | ~2.1k | Automated safety check: Pass | No licence | 2 mo ago |
| 22 | Install, repair, and verify sim2real on G1 robot computers. An agent skill from EGalahad/sim2real. | EGalahad/ | 145 | — | ~1.5k | Automated safety check: Pass | No licence | 9 days ago |
| 23 | 23.AI Bom Generates AI-BOM, MCP inventory, AI skill inventory, and AI authorship provenance documents with cdxgen, cataloging models, inference services, Hugging Face purls, MCP servers and their… | cdxgen/ | 1.1k | — | ~2.5k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 24 | Add a new HuggingFace-supported VAE to the stage1 tokenizer pipeline. | End2End-Diffusion/ | 105 | — | ~1.1k | Automated safety check: Pass | No licence | 3 mo ago |
| 25 | A skill your agent uses when adding support for a new model to VeOmni. | ByteDance-Seed/ | 2.2k | — | ~2k | Automated safety check: Pass | Apache-2.0 | 7 days ago |
| 26 | 26.Add Model Adapt and port new LLM model architectures to this xinfer project. | guoqingbao/ | 333 | — | ~4.2k | Automated safety check: Notes | MIT | 28 days ago |
| 27 | Finds llama.cpp-compatible GGUF models on the Hugging Face Hub, picks a quantization for your hardware and launches them with llama-cli or llama-server. | huggingface/ | 11k | 3 repos | ~945 | Automated safety check: Pass | Apache-2.0 | 6 days ago |
| 28 | Train or fine-tune language models with TRL or Unsloth on Hugging Face Jobs, including SFT, DPO, GRPO, reward models, and GGUF conversion. | waybarrios/ | 533 | — | ~3k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 29 | 29.Model Hub Model Hub — download pre-exported models from Qualcomm AI Hub, run inference on-device, and export them to App Builder as ready-to-import Packs. | qualcomm/ | 246 | — | ~3.3k | Automated safety check: Pass | Unknown | today |
| 30 | A skill your agent uses when optimizing or generating a CUDA megakernel for a HuggingFace Llama-family model with AutoMegaKernel (AMK), drives the correctness-gated propose - eval - keep/revert loop… | RightNow-AI/ | 148 | — | ~1.8k | Automated safety check: Pass | MIT | 19 days ago |
| 31 | 31.Resolve Always resolve Hugging Face models via model-shelf before any download. | alexziskind1/ | 130 | — | ~792 | Automated safety check: Pass | MIT | 1 mo ago |
| 32 | 32.Openma Use the openma platform to build, deploy, and manage AI agents. | openma-ai/ | 315 | — | ~854 | Automated safety check: Pass | Apache-2.0 | today |
| 33 | Create original, material-reference-driven, consistent, photorealistic character casting sheets for commercial, advertising, cinematic, model, occupational, everyday, historical… | dacnay816y62-hub/ | 124 | — | ~6.6k | Automated safety check: Pass | No licence | 1 mo ago |
| 34 | 34.Edge Bringup Prepare a macOS or Ubuntu machine for edge-e3 development, diagnose missing Verilator/LLVM/Python dependencies, initialize the public repository, and answer or act on the example prompts in the root… | exeex/ | 110 | — | ~1.7k | Automated safety check: Notes | Apache-2.0 | 11 days ago |
| 35 | Integrate new evaluation datasets into FlagEvalMM as benchmark tasks. | flageval-baai/ | 108 | — | ~3.2k | Automated safety check: Pass | No licence | 5 mo ago |
| 36 | 36.Check Model Check model compatibility with xinfer before loading. An agent skill from guoqingbao/xinfer. | guoqingbao/ | 333 | — | ~3.8k | Automated safety check: Pass | MIT | 28 days ago |
| 37 | Prepare, publish, refresh, or validate the TraceLab public dataset on Hugging Face under UW-SyFI/TraceLab. | uw-syfi/ | 138 | — | ~1.4k | Automated safety check: Pass | Apache-2.0 | 1 mo ago |
| 38 | Train object-detection, image-classification, or SAM segmentation models on Hugging Face Jobs. | waybarrios/ | 533 | — | ~2.7k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 39 | Find which provable-contracts YAML contracts a Hugging Face model needs, create missing contracts, generate Rust artifacts, and implement all stubs. | paiml/ | 127 | — | ~3.5k | Automated safety check: Pass | MIT | today |
| 40 | Benchmarks code generation models with the BigCode Evaluation Harness across HumanEval, MBPP, MultiPL-E and other suites using pass@k metrics. | Orchestra-Research/ | 13k | 5 repos | ~2.9k | Automated safety check: Pass | MIT | 3 mo ago |
| 41 | Builds an OpenEnv (Hugging Face) variant of an RL environment. | adithya-s-k/ | 421 | — | ~2.4k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 42 | 42.Xybrid Init Generate model metadata for an ML model so it works with xybrid. | xybrid-ai/ | 465 | — | ~3k | Automated safety check: Pass | Apache-2.0 | today |
| 43 | 43.Test Model Test LLM models served by xinfer for correctness, output quality, and performance. | guoqingbao/ | 333 | — | ~2.6k | Automated safety check: Pass | MIT | 28 days ago |
| 44 | 44.AI News Fetch and summarize recent AI news from curated RSS feeds (Hugging Face, VentureBeat, The Verge, OpenAI, Anthropic, DeepMind, etc.) and YouTube channels (Yannic Kilcher, Two Minute Papers, AI… | letta-ai/ | 147 | — | ~582 | Automated safety check: Pass | MIT | 5 days ago |
| 45 | Review and repair pull requests on the evaleval/EEEdatastore Hugging Face dataset. | evaleval/ | 133 | — | ~2.5k | Automated safety check: Pass | MIT | 2 days ago |
| 46 | HuggingFace Transformers integration for PerforatedAI. An agent skill from PerforatedAI/PerforatedAI. | PerforatedAI/ | 237 | — | ~1.6k | Automated safety check: Pass | Apache-2.0 | today |
| 47 | Guide users through running Cosmos3 inference — offline batch generation, online serving with Ray and Gradio, parallelism options, input formats, sampling parameters, and prompt upsampling. | NVIDIA/ | 556 | — | ~1.2k | Automated safety check: Pass | Unknown | 11 days ago |
| 48 | A skill your agent uses when adding, debugging, or validating a bring-your-own VLM in VSS RT-VLM, including custom Hugging Face or NGC checkpoints, vLLM adapters or plugins, model shims, and… | NVIDIA-AI-Blueprints/ | 1.9k | — | ~1.4k | Automated safety check: Pass | Apache-2.0 | today |
Questions, answered from the data.
What is the best model hubs and datasets skill?
SageMaker Serving Image Selection (official) from huggingface/skills ranks first of the 180 model hubs and datasets skills listed here, with the highest score: its repository has 11k GitHub stars, 1 other GitHub owner carry a copy, its SKILL.md loads about 4.6k tokens and it passes the automated safety check with no findings. Next come Hugging Face LLM Trainer and LLM Benchmarking with lm-evaluation-harness.
Which model hubs and datasets skills are official?
30 of the 180 model hubs and datasets skills are official, published by the vendor's own GitHub organization: SageMaker Serving Image Selection, Hugging Face LLM Trainer, Upload Post Image, Dataset Transformation, Hugging Face Local Model Evals and 25 more.
How are these skills ranked?
By Skill Navigator score, which combines the GitHub stars of the skill's repository (shared across that repo's skills and discounted for large collections), how many other GitHub owners carry a copy of the skill, and automated SKILL.md quality checks, minus penalties for safety-check warnings and for each further skill from the same repository. Skills that fail the safety check are not listed.
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