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Statistical Significance Calculator

statistical-significance-calculator

jeremylongshore/claude-code-plugins-plus-skills

Automates guidance for statistical significance calculations in data analytics, offering triggered best practices, example implementations in SQL, visualization, and BI workflows, plus validation against common standards.

Time Series Decomposer

time-series-decomposer

jeremylongshore/claude-code-plugins-plus-skills

Automates time series decomposition work in data analytics by guiding through patterns and best practices, generating production-ready code/configuration, and validating outputs for SQL, visualization, and BI workflows.

Visualization Best Practices Guide

visualization-best-practices

jeremylongshore/claude-code-plugins-plus-skills

Automated help for data analytics visualization best practices, offering step-by-step guidance, industry patterns, production-ready code, and validation for dashboards and reports.

DeepTools NGS Analysis

K-Dense-AI/claude-scientific-skills

DeepTools is a Python toolkit for NGS QC, normalization, sample comparison, and visualization, covering BAM-to-bigWig conversion, fingerprint/correlation checks, and publication-ready heatmaps/profiles for ChIP-seq, RNA-seq, and ATAC-seq workflows.

Phylogenetic Tree Toolkit

K-Dense-AI/claude-scientific-skills

ETE Toolkit offers comprehensive phylogenetic tree manipulation, evolutionary event detection, taxonomy integration, and publication-grade visualization for phylogenomics workflows across research and clustering analyses.

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.

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.

Plotly Interactive Charts

K-Dense-AI/claude-scientific-skills

Plotly is a Python graphing library for interactive, publication-quality visuals that bring hover, zoom, animation, and dashboard-ready exports to exploratory analysis and presentations.

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.

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