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AI & LLM Engineering · Hugging Face
Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 97 | Searches Hugging Face Hub, OpenML, GitHub and paper references for datasets that fit a research task and returns a ranked, de-duplicated table. | OpenLAIR/ | 1.2k | — | ~741 | Automated safety check: Pass | Unknown | 24 days ago |
| 98 | Set up the minimal set of artifacts (tokenized DCLM corpus shard + released HuggingFace checkpoint converted to DCP) required to benchmark, profile, or regression-test a MoE model in PithTrain. | mlc-ai/ | 355 | — | ~399 | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 99 | Run, monitor, stop and report Primus convergence tests -- training a model on a real corpus and checking that the loss curve is healthy -- from a plain-language request such as "run convergence test… | AMD-AGI/ | 131 | — | ~2.1k | Automated safety check: Pass | Unknown | today |
| 100 | A skill your agent uses when creating, monitoring, validating, or documenting low-memory Hugging Face Jobs or local runs that quantize split BF16/FP16 GGUF model repos into custom quant GGUF repos… | Mesh-LLM/ | 3.5k | — | ~1.9k | Automated safety check: Pass | Apache-2.0 | today |
| 101 | Uses Meta's LlamaGuard moderation model to screen prompts and model replies against six safety categories, with vLLM, FastAPI and NeMo Guardrails setups. | Orchestra-Research/ | 13k | 2 repos | ~2.3k | Automated safety check: Pass | MIT | 3 mo ago |
| 102 | A skill your agent uses when working with Hugging Face CLI or Hub workflows for TRL training, including auth, repositories, uploads, downloads, Jobs, buckets, model persistence, dataset checks… | burtenshaw/ | 153 | — | ~298 | Automated safety check: Pass | Apache-2.0 | 28 days ago |
| 103 | 103.Common Skills Best practices for the Common utilities package in LlamaFarm. | llama-farm/ | 836 | — | ~885 | Automated safety check: Pass | Apache-2.0 | 4 mo ago |
| 104 | 104.Discover Given a Japanese NLP GitHub repo/model/dataset (URL / owner/repo / tool name) OR a topic, find what's already in awesome-japanese-nlp-resources and discover related resources NOT yet listed… | taishi-i/ | 1k | — | ~6.5k | Automated safety check: Notes | CC0-1.0 | 5 days ago |
| 105 | 105.Hf Dynacell Develop, deploy, and maintain the DynaCell virtual-staining HuggingFace demo hosted at biohub/dynacell (ZeroGPU). | mehta-lab/ | 104 | — | ~1.1k | Automated safety check: Pass | BSD-3-Clause | yesterday |
| 106 | Runs pre-trained Hugging Face models in JavaScript or TypeScript with Transformers.js, in browsers or Node.js, Bun and Deno, for text, vision, audio and multimodal tasks. | huggingface/ | 11k | 1 repo | ~6.2k | Automated safety check: Pass | Apache-2.0 | 3 days ago |
| 107 | 107.Merge Ov2 Bilingual guide for merging ViT + LLM into LlavaOnevision2 HF checkpoint and validating weight/inference consistency | EvolvingLMMs-Lab/ | 1.2k | — | ~7.6k | Automated safety check: Pass | Apache-2.0 | today |
| 108 | A skill your agent uses when collecting public news candidates from Hacker News, GitHub Trending, Hugging Face papers, and other web sources for briefings and daily reports. | dracohu2025-cloud/ | 227 | — | ~596 | Automated safety check: Pass | MIT | 24 days ago |
| 109 | A skill your agent uses when changing mesh-llm automation or CLI flows that discover Hugging Face GGUF models, plan CPU Hugging Face Jobs for layer-package splitting, estimate max cost, or publish… | Mesh-LLM/ | 3.5k | — | ~1.4k | Automated safety check: Pass | Apache-2.0 | today |
| 110 | Deploy the article to a Hugging Face Space. An agent skill from adithya-s-k/FineEnvs. | adithya-s-k/ | 461 | — | ~864 | Automated safety check: Pass | Apache-2.0 | 3 days ago |
| 111 | 111.Relay Set up, check, stop, or delete a retalk relay server (retalk-server). | xhluca/ | 191 | — | ~1.5k | Automated safety check: Pass | MIT | 1 mo ago |
| 112 | Guides LLM fine-tuning with LoRA and QLoRA through Hugging Face PEFT, from dataset validation and training checks to adapter merging, quantization and deployment. | Jeffallan/ | 12k | — | ~1.7k | Automated safety check: Pass | MIT | 8 days ago |
| 113 | Run local evaluations for Hugging Face Hub models with inspect-ai or lighteval. | henryalouf/ | 157 | — | ~1.6k | Automated safety check: Pass | MIT | 4 mo ago |
| 114 | A skill your agent uses when running quantization of a BF16/FP16 GGUF repo and Skippy layer-package creation as one local or Hugging Face Jobs workflow, publishing both artifacts to Hugging Face. | Mesh-LLM/ | 3.5k | — | ~1.6k | Automated safety check: Pass | Apache-2.0 | today |
| 115 | A skill your agent uses when instrumenting or inspecting TRL training runs with Trackio, run names, metric schemas, dashboards, logs, grep or ripgrep, SFTP, Hugging Face Job logs, remote artifacts… | burtenshaw/ | 153 | — | ~351 | Automated safety check: Pass | Apache-2.0 | 28 days ago |
| 116 | 116.Llama Cpp llama.cpp local GGUF inference + HF Hub model discovery. An agent skill from Tommy-yw/RunbookHermes. | Tommy-yw/ | 546 | 4 repos | ~2.2k | Automated safety check: Pass | MIT | 4 mo ago |
| 117 | 117.Add Afm Model Add support for a new HuggingFace MLX model to AFM. An agent skill from scouzi1966/maclocal-api. | scouzi1966/ | 346 | — | ~1.4k | Automated safety check: Pass | MIT | yesterday |
| 118 | Train or fine-tune TRL language models on Hugging Face Jobs, including SFT, DPO, GRPO, and GGUF export. | henryalouf/ | 157 | — | ~6.9k | Automated safety check: Pass | MIT | 4 mo ago |
| 119 | Deploy vLLM using Docker (pre-built images or build-from-source) with NVIDIA GPU support and run the OpenAI-compatible server. | vllm-project/ | 102 | — | ~2.5k | Automated safety check: Notes | Apache-2.0 | 6 mo ago |
| 120 | Track and visualize ML training experiments with Trackio. An agent skill from sickn33/agentic-awesome-skills. | sickn33/ | 47k | 2 repos | ~1.4k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 121 | 121.Sn Search Code 用于查找代码示例、开源项目、GitHub Issue、技术问答、开发者讨论、HuggingFace 模型/数据集/Space。 | OpenSenseNova/ | 5.7k | — | ~905 | Automated safety check: Notes | MIT | 2 days ago |
| 122 | Turns a parquet of image file paths into a parquet of embeddings with CLIP, SigLIP or a TAO checkpoint, using the TAO Data Services container, ahead of neighbor mining. | NVIDIA/ | 3.6k | — | ~2k | Automated safety check: Notes | Apache-2.0 | 2 days ago |
| 123 | Select and verify the current region-specific serving container URI for a SageMaker model deployment. | waybarrios/ | 534 | — | ~4.3k | Automated safety check: Pass | Apache-2.0 | 5 days ago |
| 124 | Train or fine-tune vision models on Hugging Face Jobs for detection, classification, and SAM or SAM2 segmentation. | henryalouf/ | 157 | — | ~7.4k | Automated safety check: Pass | MIT | 4 mo ago |
| 125 | Load OpenMed clinical/biomedical NER models from the Hugging Face Hub or a local path and reuse them efficiently across calls. | maziyarpanahi/ | 5.5k | — | ~2.1k | Automated safety check: Pass | Apache-2.0 | today |
| 126 | A skill your agent uses when benchmarking Skippy exact-prefix cache across model families, comparing Skippy against llama-server, producing README benchmark tables, updating… | Mesh-LLM/ | 3.5k | — | ~764 | Automated safety check: Pass | Apache-2.0 | today |
| 127 | Run evaluations for Hugging Face Hub models using inspect-ai and lighteval on local hardware. | sickn33/ | 47k | 1 repo | ~1.9k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 128 | Curated upstream guidance for Huggingface Community Evals; use when the workflow matches the user goal. | sickn33/ | 47k | 1 repo | ~1.7k | Automated safety check: Pass | MIT | yesterday |
| 129 | Create and manage datasets on Hugging Face Hub. An agent skill from sickn33/agentic-awesome-skills. | sickn33/ | 47k | 2 repos | ~1.1k | Automated safety check: Pass | MIT | yesterday |
| 130 | Build, deploy, debug, or maintain a Hugging Face Space using Gradio, Docker, or Static SDKs. | waybarrios/ | 534 | — | ~4.2k | Automated safety check: Pass | Apache-2.0 | 5 days ago |
| 131 | Train or fine-tune language and vision models using TRL (Transformer Reinforcement Learning) or Unsloth with Hugging Face Jobs infrastructure. | sickn33/ | 47k | 1 repo | ~1.1k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 132 | A skill your agent uses when the user wants to build tool/scripts or achieve a task where using data from the Hugging Face API would help. | sickn33/ | 47k | 1 repo | ~1.7k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 133 | 133.Prompt Guard Meta's 86M prompt injection and jailbreak detector. An agent skill from Orchestra-Research/AI-Research-SKILLs. | Orchestra-Research/ | 13k | 1 repo | ~2.4k | Automated safety check: Warn | MIT | 3 mo ago |
| 134 | Your purpose is now is to create reusable command line scripts and utilities for using the Hugging Face API, allowing chaining, piping and intermediate processing where helpful. | sickn33/ | 47k | 2 repos | ~1.5k | Automated safety check: Pass | MIT | 2 days ago |
| 135 | 135.Onboard Marin Verify or complete a new internal Marin developer's local setup and access to GitHub, GCP, Iris, Weights & Biases, Hugging Face, and optional CoreWeave storage. | marin-community/ | 3.9k | — | ~1.1k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 136 | Train object detection, image classification, and SAM or SAM2 segmentation models locally or on Hugging Face Jobs, with dataset validation and results saved to the Hub. | sickn33/ | 47k | 1 repo | ~1.1k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 137 | Build, deploy, and maintain applications on Hugging Face Spaces — Gradio / Docker / Static SDKs, ZeroGPU and dedicated hardware, model loading, debugging, buckets, inference providers, community… | sickn33/ | 47k | 1 repo | ~3.9k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 138 | AI demos and GPU compute with Gradio Spaces and Hugging Face Spaces ZeroGPU. | sickn33/ | 47k | 1 repo | ~4.6k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 139 | 139.Add Dataset Register a named Hugging Face dataset for Marin by inspecting its schema and adding the appropriate experiments/datasets module. | marin-community/ | 3.9k | — | ~458 | Automated safety check: Pass | Apache-2.0 | yesterday |
| 140 | Add and manage evaluation results in Hugging Face model cards. | sickn33/ | 47k | 2 repos | ~418 | Automated safety check: Pass | MIT | 2 days ago |
| 141 | Continue KERMT pretraining on a custom SMILES corpus with a groverbase, cmim, or hybrid checkpoint. | NVIDIA/ | 3.6k | 1 repo | ~4.1k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 142 | Extract per-molecule embeddings from any encoder-bearing KERMT checkpoint. | NVIDIA/ | 3.6k | 1 repo | ~1.9k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 143 | Finetune a pretrained KERMT encoder on a labeled CSV. An agent skill from NVIDIA/skills. | NVIDIA/ | 3.6k | 1 repo | ~4.1k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 144 | Look 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. | sickn33/ | 47k | 1 repo | ~2.5k | Automated safety check: Pass | Apache-2.0 | 2 days ago |