Browse All Agent Skills

DeepChem Molecular Machine Learning

Applies advanced machine learning techniques to chemistry, biology, and materials science for molecular property prediction and drug discovery.

Pymatgen Materials Science

Enables advanced materials science research through crystal structure manipulation, thermodynamic analysis, and Materials Project database integration.

Scientific Slide Deck Generator

Generates visually stunning, research-backed scientific presentations and conference slides with automated image generation and citation management.

Research Grant Writing

Crafts competitive, agency-compliant research proposals for major federal funding bodies like the NSF, NIH, DOE, and DARPA.

Excel & Spreadsheet Scientific Toolkit

Creates, edits, and analyzes Excel spreadsheets with production-grade formulas, industry-standard financial formatting, and automated recalculation.

PyOpenMS Mass Spectrometry

Facilitates advanced mass spectrometry data analysis using the Python interface to the OpenMS library for proteomics and metabolomics.

Gtars Genomic Analysis

Processes and analyzes high-performance genomic interval data for computational biology and machine learning applications.

FluidSim CFD Framework

Simulates high-performance computational fluid dynamics using pseudospectral methods and Python-based analysis.

Flow Cytometry Data Processor

Parses and manipulates Flow Cytometry Standard (FCS) files, converting biological data into NumPy arrays and CSV formats for scientific analysis.

Statsmodels Statistical Analysis

Provides a comprehensive toolkit for rigorous statistical modeling, econometric analysis, and time-series forecasting within the Claude environment.

Qiskit Quantum Computing

Builds, optimizes, and executes quantum circuits and algorithms on simulators or real hardware using the Qiskit framework.

COBRApy Metabolic Modeling

Performs constraint-based reconstruction and analysis of metabolic models for systems biology and metabolic engineering tasks.

PyTorch Geometric Graph Learning

Develops and trains Graph Neural Networks (GNNs) for node classification, link prediction, and geometric deep learning tasks.

NCBI Gene Database Explorer

Integrates NCBI Gene data access into Claude for querying sequences, functional annotations, and genomic metadata.

PPTX Presentation Toolkit

Programmatically creates, edits, and analyzes PowerPoint presentations with support for scientific schematics and XML-level customization.

PyTDC Drug Discovery

Accesses AI-ready Therapeutics Data Commons (TDC) datasets and benchmarks for drug discovery and pharmaceutical machine learning.

Zarr Python Scientific Data

Manages large-scale N-dimensional arrays with chunked storage, compression, and cloud-native parallel I/O.

Scientific Data Visualization

Generates publication-ready scientific figures and multi-panel layouts using Matplotlib, Seaborn, and Plotly.

Benchling R&D Integration

Automates Benchling R&D platform operations including biological sequence management, inventory tracking, and electronic lab notebook documentation.

Seaborn Statistical Visualization

Generates publication-quality statistical graphics and complex data visualizations using the Seaborn Python library.

PubChem Database

Accesses the world's largest chemical database to search compounds, retrieve molecular properties, and perform structure-based searches.

Reactome Pathway Analysis

Integrates the Reactome database to perform pathway enrichment, gene-pathway mapping, and molecular interaction analysis for systems biology.

PDF Processing & Automation

Manipulates PDF documents by extracting text and tables, merging or splitting files, and generating new documents programmatically.

Arboreto GRN Inference

Infers gene regulatory networks from transcriptomics data using high-performance algorithms like GRNBoost2 and GENIE3.

NCBI GEO Data Access

Accesses and manages NCBI Gene Expression Omnibus (GEO) data for transcriptomics and functional genomics research.

PennyLane Quantum Computing

Develops and optimizes quantum circuits, hybrid quantum-classical models, and molecular simulations using the PennyLane library.

Open Targets Database

Queries the Open Targets Platform to identify and prioritize therapeutic drug targets using human genetics, omics, and clinical evidence.

GeoPandas Spatial Analysis

Empowers Claude with expert capabilities for manipulating, analyzing, and visualizing geospatial vector data using Python.

RCSB PDB Database Access

Enables programmatic access to the RCSB Protein Data Bank for searching, retrieving, and analyzing 3D structures of biological macromolecules.

UMAP Machine Learning

Performs fast non-linear dimensionality reduction and manifold learning for data visualization and clustering preprocessing.