Download

Skill UI

Browse and discover 6170+ curated skills

All Development Artificial Intelligence Design & Creative Product & Business Data Science Marketing Soft Skills Productivity Engineering Languages

Search ZAT , found 51 results

Default Newest Most Downloaded

Gtars Genomic Toolkit

K-Dense-AI/claude-scientific-skills

Gtars is a high-performance Rust toolkit with Python bindings for genomic interval analysis, covering overlap detection, coverage track generation, ML tokenization, fragment scoring, and reference sequence management for computational genomics workflows.

Matplotlib Visualization Guide

K-Dense-AI/claude-scientific-skills

Matplotlib is Python’s foundational plotting toolkit for creating static, animated, and interactive charts with fine-grained control via both pyplot and object-oriented APIs, making it ideal for scientific publications, notebooks, and GUI workflows.

Molecular Featurization Hub

K-Dense-AI/claude-scientific-skills

Molfeat is a Python hub for turning SMILES or RDKit molecules into 100+ featurizers and pretrained embeddings, powering QSAR, screening, similarity, and deep learning workflows with transformers, calculators, caching, and parallel processing.

Neuropixels Recording Analysis

neuropixels-analysis

K-Dense-AI/claude-scientific-skills

Toolkit for Neuropixels neural recording analysis that loads SpikeGLX/Open Ephys/NWB data, preprocesses, corrects motion, runs Kilosort4/alternative sorters, computes quality metrics, curates units via Allen/IBL criteria, renders visualizations, and exports to Phy or NWB for publication-ready results.

PyOpenMS Mass Spectrometry

K-Dense-AI/claude-scientific-skills

PyOpenMS exposes OpenMS via Python to cover end-to-end proteomics and metabolomics workflows, including file I/O, signal processing, feature detection, identification, quantitation, and integration with pandas/visualization stacks.

Scanpy Single-Cell Pipeline

K-Dense-AI/claude-scientific-skills

Scanpy provides a scalable Python pipeline for single-cell RNA-seq, covering QC, normalization, dimensionality reduction, clustering, marker discovery, annotation, trajectory analysis, and publication-ready visualizations through AnnData.

Scientific Publication Figures

scientific-visualization

K-Dense-AI/claude-scientific-skills

Creates publication-ready scientific plots with multi-panel layouts, error bars, significance markers, and colorblind-safe palettes while exporting to journal formats via matplotlib/seaborn/plotly.

Seaborn Statistical Visualization

K-Dense-AI/claude-scientific-skills

Seaborn builds on matplotlib to deliver dataset-aware statistical plots with attractive defaults, making it easy to explore distributions, variable relationships, and categorical comparisons in Python.

UMAP Manifold Reduction

K-Dense-AI/claude-scientific-skills

UMAP-Learn delivers fast nonlinear dimensionality reduction for visualization, clustering prep, and feature engineering; it mirrors scikit-learn APIs and supports supervised/semi-supervised embeddings with tunable parameters.

Vaex Big Data

K-Dense-AI/claude-scientific-skills

Vaex processes massive tabular datasets (billions of rows) with lazy, out-of-core DataFrames, fast aggregations, visualization, and ML pipelines without fitting data into memory, ideal for CSV/Arrow/Parquet workflows.

GnomAD Variant Lookup

gnomad-database

K-Dense-AI/claude-scientific-skills

Query gnomAD via GraphQL to retrieve allele frequencies, constraint scores, and loss-of-function annotations for population-informed variant interpretation and rare disease gene prioritization.

Data Visualization Tools

data-visualization

sickn33/antigravity-awesome-skills

Provides charting, mapping, and dashboard techniques to turn datasets into clear insights for sharing across teams.

Prev 1 2 345 Next

Language