Data Science & ML Skills

1,741 Data Science & ML skills for Claude Code, ranked by installs

Showing 1 to 80 of 1,741

skills.sh installs
1huggingface avatarhugging-face-trackiohuggingface/skillsTrack and visualize ML training experiments with Trackio. Use when logging metrics during training (Python API), firing alerts for training diagnostics, or retr226skills.sh installs
2openai avatarjupyter-notebookopenai/skillsUse when the user asks to create, scaffold, or edit Jupyter notebooks (`.ipynb`) for experiments, explorations, or tutorials; prefer the bundled templates and r5.9Kskills.sh installs
3zc277584121 avatarjupyter-notebook-writingzc277584121/marketing-skillsWrite Milvus application-level Jupyter notebook examples using a Markdown-first workflow with jupyter-switch for format conversion.3.9Kskills.sh installs
4mindrally avatardeep-learning-pytorchmindrally/skillsExpert guidance for deep learning, transformers, diffusion models, and LLM development with PyTorch, Transformers, Diffusers, and Gradio.1.9Kskills.sh installs
5sickn33 avatarmachine-learning-ops-ml-pipelinesickn33/antigravity-awesome-skillsmachine learning ops ml pipeline508skills.sh installs
6aradotso avatararis-autonomous-ml-researcharadotso/trending-skillsaris autonomous ml research360skills.sh installs
7aibtcdev avatararxiv-researchaibtcdev/skillsFetch and compile arXiv papers on LLMs, autonomous agents, and AI infrastructure into scored, grouped research digests. Stores digests at ~/.aibtc/arxiv-researc273skills.sh installs
8huggingface avatarhugging-face-paper-publisherhuggingface/skillsPublish and manage research papers on Hugging Face Hub. Supports creating paper pages, linking papers to models/datasets, claiming authorship, and generating pr245skills.sh installs
9orchestra-research avatarhuggingface-accelerateorchestra-research/ai-research-skillsSimplest distributed training API. 4 lines to add distributed support to any PyTorch script. Unified API for DeepSpeed/FSDP/Megatron/DDP. Automatic device place1Kskills.sh installs
10orchestra-research avatarml-training-recipesorchestra-research/ai-research-skillsBattle-tested PyTorch training recipes for all domains — LLMs, vision, diffusion, medical imaging, protein/drug discovery, spatial omics, genomics. Covers train996skills.sh installs
11huggingface avatarhugging-face-model-trainerhuggingface/skillsThis skill should be used when users want to train or fine-tune language models using TRL (Transformer Reinforcement Learning) on Hugging Face Jobs infrastructu418skills.sh installs
12huggingface avatarhugging-face-datasetshuggingface/skillsCreate and manage datasets on Hugging Face Hub. Supports initializing repos, defining configs/system prompts, streaming row updates, and SQL-based dataset query367skills.sh installs
13sanand0 avatarmatplotlibsanand0/scientific-researchFoundational plotting library. Create line plots, scatter, bar, histograms, heatmaps, 3D, subplots, export PNG/PDF/SVG, for scientific visualization and publica0skills.sh installs
14anthropics avatardata-visualizationanthropics/knowledge-work-pluginsCreate effective data visualizations with Python (matplotlib, seaborn, plotly). Use when building charts, choosing the right chart type for a dataset, creating 14.5Kskills.sh installs
15google avatarbigquery-ai-mlgoogle/skillsLeverages BigQuery's built-in machine learning and GenAI capabilities for advanced data analytics. Use when you need to write SQL queries that perform time-seri8Kskills.sh installs
16huggingface avatarhuggingface-datasetshuggingface/skillsUse this skill for Hugging Face Dataset Viewer API workflows that fetch subset/split metadata, paginate rows, search text, apply filters, download parquet URLs,2.6Kskills.sh installs
17orchestra-research avatarml-paper-writingorchestra-research/ai-research-skillsWrite publication-ready ML/AI papers for NeurIPS, ICML, ICLR, ACL, AAAI, COLM. Use when drafting papers from research repos, structuring arguments, verifying ci2.5Kskills.sh installs
18langchain-ai avatararxiv-searchlangchain-ai/deepagentsSearches arXiv for preprints and academic papers, retrieves abstracts, and filters by topic. Use when the user asks to find research papers, search arXiv, look 2.3Kskills.sh installs
19huggingface avatarhuggingface-papershuggingface/skillsLook 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 rep2.3Kskills.sh installs
20huggingface avatarhuggingface-trackiohuggingface/skillsTrack and visualize ML training experiments with Trackio. Use when logging metrics during training (Python API), firing alerts for training diagnostics, or retr2Kskills.sh installs
21nvidia avatartao-finetune-huggingface-modelnvidia/skillsFine-tune any HuggingFace CV / VLM / LLM model on local NVIDIA GPUs inside an NGC PyTorch container. Use when the user wants to fine-tune a HuggingFace model (f1.7Kskills.sh installs
22mindrally avatardata-analysis-jupytermindrally/skillsExpert guidance for data analysis, visualization, and Jupyter Notebook development with pandas, matplotlib, seaborn, and numpy.1.6Kskills.sh installs
25davila7 avatarsenior-ml-engineerdavila7/claude-code-templatesWorld-class ML engineering skill for productionizing ML models, MLOps, and building scalable ML systems. Expertise in PyTorch, TensorFlow, model deployment, fea799skills.sh installs
26personamanagmentlayer avatardata-science-expertpersonamanagmentlayer/pclExpert-level data science, analytics, visualization, and statistical modeling583skills.sh installs
27longbridge avatarlongbridge-ml-strategylongbridge/skillsMachine-learning prediction strategy framework via Longbridge Securities — walk-forward rolling training with feature engineering (MACD, RSI, Bollinger Band wid493skills.sh installs
28secondsky avatarml-model-trainingsecondsky/claude-skillsTrain ML models with scikit-learn, PyTorch, TensorFlow. Use for classification/regression, neural networks, hyperparameter tuning, or encountering overfitting, 474skills.sh installs
29tondevrel avatarmatplotlibtondevrel/scientific-agent-skillsThe foundational library for creating static, animated, and interactive visualizations in Python. Highly customizable and the industry standard for publication-375skills.sh installs
30awslabs avatardataset-transformationawslabs/agent-pluginsGenerates code that transforms datasets between ML schemas for model training or evaluation. Use when the user says "transform", "convert", "reformat", "change 153skills.sh installs
31aj-geddes avatarML Model Trainingaj-geddes/useful-ai-promptsBuild and train machine learning models using scikit-learn, PyTorch, and TensorFlow for classification, regression, and clustering tasks0skills.sh installs
32pluginagentmarketplace avatarPandas Data Analysispluginagentmarketplace/custom-plugin-pythonMaster data manipulation, analysis, and visualization with Pandas, NumPy, and Matplotlib0skills.sh installs
33sanand0 avatarmatchmssanand0/scientific-researchMass spectrometry analysis. Process mzML/MGF/MSP, spectral similarity (cosine, modified cosine), metadata harmonization, compound ID, for metabolomics and MS da0skills.sh installs
34sanand0 avatarrdkitsanand0/scientific-researchCheminformatics toolkit for fine-grained molecular control. SMILES/SDF parsing, descriptors (MW, LogP, TPSA), fingerprints, substructure search, 2D/3D generatio0skills.sh installs
35orchestra-research avatarpytorch-lightningorchestra-research/ai-research-skillsHigh-level PyTorch framework with Trainer class, automatic distributed training (DDP/FSDP/DeepSpeed), callbacks system, and minimal boilerplate. Scales from lap1Kskills.sh installs
38zechenzhangagi avatarml-paper-writingzechenzhangagi/ai-research-skillsml paper writing922skills.sh installs
39wanshuiyin avatararxivwanshuiyin/auto-claude-code-research-in-sleepSearch, download, and summarize academic papers from arXiv. Use when user says "search arxiv", "download paper", "fetch arxiv", "arxiv search", "get paper pdf",601skills.sh installs
40huggingface avatarhugging-face-evaluationhuggingface/skillsAdd and manage evaluation results in Hugging Face model cards. Supports extracting eval tables from README content, importing scores from Artificial Analysis AP265skills.sh installs
45alirezarezvani avatarsenior-ml-engineeralirezarezvani/claude-skillsML engineering skill for productionizing models, building MLOps pipelines, and integrating LLMs. Covers model deployment, feature stores, drift monitoring, RAG 940skills.sh installs
46galaxy-dawn avatarml-paper-writinggalaxy-dawn/claude-scholarWrite publication-ready ML/AI papers for NeurIPS, ICML, ICLR, ACL, AAAI, COLM. Use when drafting papers from research repos, conducting literature reviews, find469skills.sh installs
47k-dense-ai avatarframing-research-questionsk-dense-ai/science-superpowersYou MUST use this before any data analysis or investigation - before exploring a dataset, loading or profiling data, running a model, computing a statistic, or 0skills.sh installs
48taishi-i avatarresearch-issuestaishi-i/awesome-japanese-nlp-resourcesInvestigate current challenges, limitations, and proposed solutions in Japanese NLP for a topic. Surveys the existing awesome-japanese-nlp-resources dataset to 0skills.sh installs
49lllllllama avatarai-research-explorelllllllama/rigorpilot-skillsRigor Explore compatible skill slug for meaningful and potentially novel deep learning research candidates. Use when the researcher has chosen the task family, 353.7Kskills.sh installs
50emblemcompany avataremblem-market-researchemblemcompany/agent-skillsCrypto market intelligence via EmblemAI. Trending tokens, on-chain analytics, derivatives data, and smart money tracking from CoinGecko, CoinGlass, Birdeye, and8.9Kskills.sh installs
51google-deepmind avatarliterature-search-arxivgoogle-deepmind/science-skillsSearch for scientific papers, preprints, and publications on arXiv. Extract metadata, abstracts, and download full-text PDFs or HTML versions of papers. Use whe3.5Kskills.sh installs
52marimo-team avatarjupyter-to-marimomarimo-team/skillsConvert a Jupyter notebook (.ipynb) to a marimo notebook (.py).3.5Kskills.sh installs
53k-dense-ai avatarscientific-visualizationk-dense-ai/scientific-agent-skillsCreate and audit truthful, accessible, publication-ready scientific figures with Matplotlib, Seaborn, or Plotly. Use for figure design, multi-panel layouts, unc2.6Kskills.sh installs
54huggingface avatarhuggingface-llm-trainerhuggingface/skillsTrain or fine-tune language and vision models using TRL (Transformer Reinforcement Learning) or Unsloth with Hugging Face Jobs infrastructure. Covers SFT, DPO, 2.4Kskills.sh installs
55k-dense-ai avatarmatplotlibk-dense-ai/scientific-agent-skillsLow-level plotting library for full customization. Use when you need fine-grained control over every plot element, creating novel plot types, or integrating wit2.3Kskills.sh installs
59huggingface avatarhuggingface-vision-trainerhuggingface/skillsTrains and fine-tunes vision models for object detection (D-FINE, RT-DETR v2, DETR, YOLOS), image classification (timm models — MobileNetV3, MobileViT, ResNet, 2Kskills.sh installs
60nvidia avatarnemo-rl-auto-researchnvidia/skillsAutonomous NeMo-RL research agent workflow for directed hypothesis testing and open-ended discovery. Guides agents through the full experiment lifecycle: unders1.9Kskills.sh installs
61master-cai avatarresearch-paper-writingmaster-cai/research-paper-writing-skillsImprove academic paper writing quality for ML/CV/NLP-style papers with clear section structure, paragraph flow, and reviewer-facing presentation. Use when draft1.8Kskills.sh installs
62davila7 avatarscientific-visualizationdavila7/claude-code-templatesCreate publication figures with matplotlib/seaborn/plotly. Multi-panel layouts, error bars, significance markers, colorblind-safe, export PDF/EPS/TIFF, for jour1.6Kskills.sh installs
63davila7 avatarmatplotlibdavila7/claude-code-templatesFoundational plotting library. Create line plots, scatter, bar, histograms, heatmaps, 3D, subplots, export PNG/PDF/SVG, for scientific visualization and publica1.1Kskills.sh installs
64mindrally avatarmatplotlib-best-practicesmindrally/skillsBest practices for Matplotlib data visualization, plotting, and creating publication-quality figures in Python1.1Kskills.sh installs
65davila7 avatarscikit-learndavila7/claude-code-templatesMachine learning in Python with scikit-learn. Use when working with supervised learning (classification, regression), unsupervised learning (clustering, dimensi944skills.sh installs
66mindrally avatardeep-learning-pythonmindrally/skillsGuidelines for deep learning development with PyTorch, Transformers, Diffusers, and Gradio for LLM and diffusion model work.878skills.sh installs
67joellewis avatarstatistics-fundamentalsjoellewis/finance_skillsApply statistical methods to financial data including descriptive statistics, covariance estimation, regression, hypothesis testing, and resampling. Use when th856skills.sh installs
68davila7 avatarml-paper-writingdavila7/claude-code-templatesWrite publication-ready ML/AI papers for NeurIPS, ICML, ICLR, ACL, AAAI, COLM. Use when drafting papers from research repos, structuring arguments, verifying ci416skills.sh installs
69davila7 avatarhuggingface-acceleratedavila7/claude-code-templatesSimplest distributed training API. 4 lines to add distributed support to any PyTorch script. Unified API for DeepSpeed/FSDP/Megatron/DDP. Automatic device place389skills.sh installs
70hoodini avataranalytics-metricshoodini/ai-agents-skillsBuild data visualization and analytics dashboards. Use when creating charts, KPI displays, metrics dashboards, or data visualization components. Triggers on ana381skills.sh installs
71davila7 avatarhuggingface-tokenizersdavila7/claude-code-templatesFast tokenizers optimized for research and production. Rust-based implementation tokenizes 1GB in <20 seconds. Supports BPE, WordPiece, and Unigram algorithms. 340skills.sh installs
72varde80 avatararxiv-searchvarde80/arxiv-zotero-obsidianSearch arXiv for academic papers. Use when users want to find research papers, preprints, or academic articles on any topic. Supports filtering by date, categor321skills.sh installs
73feiskyer avatardeep-researchfeiskyer/claude-code-settingsMulti-agent research orchestration: split a research goal into parallel sub-goals, run each via headless `claude -p` subprocesses, aggregate results into a poli304skills.sh installs
74qodex-ai avatarchat-with-arxivqodex-ai/ai-agent-skillsBuild interactive chat agents for exploring and discussing academic research papers from ArXiv. Covers paper retrieval, content processing, question-answering, 303skills.sh installs
75travisjneuman avatarstatistics-verifiertravisjneuman/.claudeVerify statistics from raw data with methodology checking, significance testing, claim validation, and bias detection. Use when fact-checking statistical claims218skills.sh installs
76rohitg00 avatarwiki-research-looprohitg00/pro-workflowAuto-grow a pro-workflow wiki by running a budget-capped BFS research loop over pluggable source fetchers (web, arXiv, GitHub). Each iteration pops a seed from 154skills.sh installs
77actionbook avatardeep-researchactionbook/actionbookDeep research and analysis tool. Generates comprehensive HTML reports on any topic, domain, paper, or technology. Use when user asks to research, analyze, inves148skills.sh installs
78sundial-org avatararxiv-watchersundial-org/awesome-openclaw-skillsSearch and summarize papers from ArXiv. Use when the user asks for the latest research, specific topics on ArXiv, or a daily summary of AI papers.145skills.sh installs
79actionbook avatararxiv-vieweractionbook/actionbookView, search, and download academic papers from arXiv. Supports API queries, web scraping via Actionbook, and HTML paper reading via ar5iv. Use when user asks a133skills.sh installs
80aj-geddes avatarData Visualizationaj-geddes/useful-ai-promptsCreate effective visualizations using matplotlib and seaborn for exploratory analysis, presenting insights, and communicating findings with business stakeholder0skills.sh installs

Questions

Can Claude Code help with data science workflows?

Yes, data science skills help Claude load and clean datasets, create visualizations, write ML pipelines, and even read research papers. They're especially useful for Python-based data workflows.

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