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Pymoo Multi Objective Optimizer

K-Dense-AI/claude-scientific-skills

Pymoo is a Python optimization toolkit focused on multi-objective engineering problems, providing algorithms like NSGA-II/III, MOEA/D, customizable operators, benchmarks, and visualization helpers for Pareto analysis and constrained search.

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.

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.

Rowan Quantum Chemistry

K-Dense-AI/claude-scientific-skills

Rowan delivers cloud-based quantum chemistry via a Python API for pKa estimation, geometry optimization, conformer search, docking, and AI protein cofolding, giving scientists remote compute and automation for molecular workflows without local setup.

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.

Zeroization Audit Tool

trailofbits/skills

Detects missing zeroization of secrets and flags compiler-optimized removals with mandatory assembly/IR evidence, helping auditors verify C/C++/Rust cryptographic code through dataflow, CFG, and runtime validation.

Apify Actorization Workflow

apify-actorization

sickn33/antigravity-awesome-skills

Actorization lets you package existing software as Apify Actors by wrapping code with the SDK, defining input/output schemas, testing locally through `apify run`, and deploying via `apify push`, turning CLI tools or scripts into reusable serverless automations.

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