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Qiskit Quantum Framework

K-Dense-AI/claude-scientific-skills

Bridge circuit design, optimization, visualization, and IBM Quantum execution with Qiskit. Install via pip, compose circuits, transpile for hardware, run on simulators or cloud backends, and analyze histograms or quantum states.

QuTiP Quantum Toolbox

K-Dense-AI/claude-scientific-skills

QuTiP is a Python library for simulating open and closed quantum systems, offering solvers, analysis, visualization, and advanced methods aimed at research, teaching, and modeling Lindblad dynamics or decoherence.

RDKit Cheminformatics Toolkit

K-Dense-AI/claude-scientific-skills

RDKit Cheminformatics Toolkit delivers Python APIs for reading/writing SMILES/SDF/InChI, sanitizing molecules, computing descriptors and fingerprints, running substructure searches/reactions, and visualizing structures for drug discovery and cheminformatics workflows.

Research Grant Proposals

research-grants

K-Dense-AI/claude-scientific-skills

Craft competitive research grant proposals for NSF, NIH, DOE, DARPA, and NSTC with agency-specific narratives, budgets, broader impact statements, and mandatory AI-generated schematics for methodology/plan visuals.

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 Presentation Builder

scientific-slides

K-Dense-AI/claude-scientific-skills

Guides researchers through structuring, designing, and delivering visually engaging scientific presentations via PowerPoint or LaTeX Beamer, offering planning templates, Nano Banana Pro slide generation, and formatting/citation rules.

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.

STRING Protein Interaction

string-database

K-Dense-AI/claude-scientific-skills

Query the STRING REST API to retrieve protein-protein interaction networks, map identifiers, visualize evidence-weighted edges, and run GO/KEGG/Pfam enrichment for systems biology analysis.

Clinical Treatment Planner

treatment-plans

K-Dense-AI/claude-scientific-skills

Generates concise 3-4 page LaTeX/PDF treatment plans across specialties, prioritizing actionable goals, SMART criteria, HIPAA-compliant documentation, and minimal citations while mandating AI-powered schematics for visual clarity.

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.

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