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The core Python ML toolkit for classification, regression, clustering, and dimensionality reduction — the backbone of most data science work.
Best Data Science Skills for Claude Code (2026)
The best Claude Code skills for data science work — from official skill repos to community contributors. Hand-filtered from 11 genuinely relevant results across 30,000+ skills.
✅ 10 curated📊 11 relevant in catalog
At a glance
Our top pick for data science is scikit-learn: The core Python ML toolkit for classification, regression, clustering, and dimensionality reduction — the backbone of most data science work. jupyter-notebook and data-cleaning-annotation-workflow round out the podium. This list includes skills maintained by K-Dense AI, OpenAI, OpenClaw. 7 of the 10 picks are rated high-relevance for this exact use case.
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Scaffolds and edits Jupyter notebooks, the primary environment data scientists use for experiments, exploration, and analysis.
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End-to-end pandas workflow for downloading, cleaning, and annotating real time-series datasets — the unglamorous 80% of data science.
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Builds end-to-end pipelines from data prep through training, validation, and deployment, covering the full MLOps lifecycle.
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Productionizes models with feature stores, drift monitoring, and cost optimization — bridging data science into reliable ML systems.
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Enforces structured Jupyter prototyping with pipeline integrity, keeping exploratory notebooks reproducible and production-ready.
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Creates, manages, and SQL-queries datasets on the Hugging Face Hub — a first-party tool for sourcing and transforming training data.
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Explores datasets via the HF Viewer API to paginate rows, search, filter, and pull parquet URLs before analysis or training.
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Trains and fine-tunes models with TRL (SFT, DPO) on managed infrastructure, covering the modeling stage of a data science project.
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Expert guidance for Azure ML architecture, best practices, and troubleshooting when running data science workloads on a managed cloud platform.
Frequently asked
What is the best data science skill for Claude Code?
scikit-learn (from K-Dense-AI/claude-scientific-skills) is our #1 pick. The core Python ML toolkit for classification, regression, clustering, and dimensionality reduction — the backbone of most data science work. It ranked first out of 11 genuinely relevant skills we evaluated for data science.
Are there official data science skills from major companies?
Yes — this ranking includes skills maintained by K-Dense AI, OpenAI, OpenClaw. Official and corporate-maintained skills tend to be better documented and more actively updated than one-off community scripts.
How do I install a data science skill in Claude Code?
Open any skill on this list for full instructions. In most cases you copy the skill folder (with its SKILL.md) into your project's .claude/skills/ directory, or install it via the source repo's plugin marketplace. All 10 listed skills are open source and free.