Scientific claims often contain hidden flaws in methodology, bias, or logic. This skill provides systematic frameworks to evaluate evidence quality, identify cognitive biases, assess experimental design, and detect logical fallacies in scientific discourse.

Scientists often struggle to generate novel research directions during early-stage planning. This skill guides creative scientific ideation through structured brainstorming methodologies, helping researchers explore interdisciplinary connections and identify hidden research opportunities.

An AI skill for Claude, Codex, and Claude Code

Single-cell RNA sequencing generates complex datasets requiring specialized analysis. This skill provides a complete workflow for quality control, dimensionality reduction, clustering, and visualization of single-cell gene expression data.

Finding current academic research requires searching multiple databases and evaluating source quality. This tool searches scholarly literature through Perplexity Sonar models with automatic model selection based on query complexity and citation-focused results.

Securing research funding is highly competitive with strict agency-specific requirements. This skill provides expert guidance for writing compelling proposals that meet NSF, NIH, DOE, DARPA, and NSTC standards while maximizing your chances of success.

Analyze biological pathways and gene lists using Reactome database. Perform pathway enrichment analysis, map genes to pathways, and explore molecular interactions for systems biology research.

An AI skill for Claude, Codex, and Claude Code

Quantum systems require specialized simulation tools. QuTiP provides solvers for open quantum systems with master equations, Lindblad dynamics, and decoherence. Use this skill to model quantum optics, cavity QED, and dissipative quantum processes.

Quantum computing enables solving complex optimization, chemistry, and machine learning problems that are intractable for classical computers. Qiskit provides the tools to build quantum circuits, optimize them for IBM hardware, and execute on real quantum processors or simulators.

This skill helps you organize PyTorch code into reusable LightningModules. It provides templates and documentation for configuring multi-GPU training, implementing data pipelines, and setting up experiment tracking with popular tools like W&B and TensorBoard.

Drug discovery researchers need standardized datasets for training ML models. PyTDC provides curated ADME, toxicity, and drug-target interaction datasets with proper train-test splits and evaluation oracles.

Process and analyze DNA sequencing data with tools for reading BAM, VCF, and FASTQ files. Extract genomic regions, calculate coverage statistics, and integrate multiple file types for comprehensive variant analysis.

Process proteomics and metabolomics data with comprehensive mass spectrometry tools. This skill provides access to OpenMS algorithms for file format handling, spectral processing, feature detection, and peptide identification workflows.

Multi-objective optimization involves finding trade-off solutions when multiple conflicting objectives must be satisfied. This skill provides comprehensive access to pymoo algorithms including NSGA-II, NSGA-III, and MOEA/D for finding Pareto-optimal solutions and visualizing trade-off fronts.

Build, fit, and validate Bayesian models using PyMC. Create hierarchical models, run MCMC sampling, and compare models with LOO and WAIC metrics.

Work with crystal structures and materials data. Convert file formats, compute phase diagrams, analyze symmetry, and access the Materials Project database for computational materials science research.

Automate laboratory workflows by controlling liquid handling robots, plate readers, and lab equipment through unified Python commands. This skill enables reproducible protocols across Hamilton, Tecan, and Opentrons platforms with built-in simulation for testing.

Healthcare researchers and data scientists struggle with complex clinical data formats and coding systems. PyHealth provides a unified toolkit for loading medical datasets, processing EHR data, training predictive models, and working with standard medical codes.

Process DICOM medical images including CT, MRI, X-ray, and ultrasound. Read, write, anonymize, convert, and extract metadata from healthcare imaging files.