Discover Agent Skills for data science & ml. Browse 61 skills for Claude, ChatGPT & Codex.
Queries the NCBI ClinVar database to retrieve, interpret, and process human genetic variant classifications and clinical significance.
Evaluates scholarly research and academic papers using the structured ScholarEval methodology for rigor and quality.
Implements advanced time series machine learning tasks including forecasting, classification, and anomaly detection using a scikit-learn compatible framework.
Builds process-based discrete-event simulations in Python to model complex systems like manufacturing, logistics, and network traffic.
Simplifies molecular cheminformatics workflows with a Pythonic wrapper for RDKit, featuring structure standardization, descriptor calculation, and 3D conformer generation.
Performs constraint-based reconstruction and analysis of metabolic models for systems biology and metabolic engineering.
Streamlines genomic data management and bioinformatics app development on the DNAnexus cloud platform using the dxpy Python SDK.
Simplifies high-performance genomic interval analysis and machine learning preprocessing using Rust-powered toolsets.
Performs fast non-linear dimensionality reduction and manifold learning for high-dimensional data visualization and clustering.
Accesses and retrieves 3D protein and nucleic acid structures from the RCSB PDB for structural biology and drug discovery research.
Solves complex single and multi-objective optimization problems using evolutionary algorithms and Pareto front analysis.
Processes and analyzes high-throughput sequencing data including SAM, BAM, VCF, and FASTA files using a Pythonic interface to htslib.
Accesses the KEGG REST API for biological pathway analysis, gene mapping, and metabolic network research.
Facilitates advanced biomedical literature searches and programmatic data retrieval from the PubMed database using MeSH terms and E-utilities.
Performs exact symbolic mathematical computations including algebra, calculus, and equation solving using the SymPy Python library.
Automates digital pathology workflows by processing whole slide images, detecting tissue regions, and extracting informative tiles for deep learning pipelines.
Manages biological datasets with automated lineage tracking, ontology-based validation, and FAIR data principles through a unified Python API.
Executes autonomous multi-step biomedical research tasks including genomics analysis, drug discovery, and CRISPR design.
Analyzes mass spectrometry data for proteomics and metabolomics using the OpenMS Python interface.
Processes and analyzes complex physiological signals including ECG, EEG, EDA, and respiratory patterns for research and clinical applications.
Simulates complex fluid dynamics using Python-based high-performance solvers for Navier-Stokes, shallow water, and stratified flows.
Converts diverse file formats including PDFs, Office documents, and media into LLM-optimized Markdown while preserving structural integrity.
Accesses the UniProt REST API to retrieve protein sequences, functional annotations, and map identifiers across biological databases.
Manipulates, analyzes, and visualizes phylogenetic and hierarchical trees for genomic research and clustering analysis.
Integrates Hugging Face Transformers for advanced natural language processing, computer vision, and audio tasks.
Queries the ClinicalTrials.gov API to search, filter, and analyze global clinical study data for medical research and patient matching.
Facilitates high-throughput sequencing data analysis, visualization, and quality control for genomics workflows.
Accesses over 40 bioinformatics web services and databases for biological data retrieval and analysis within Python workflows.
Performs rigorous statistical modeling, econometric analysis, and hypothesis testing using the Python statsmodels library.
Performs comprehensive statistical hypothesis testing, regression analysis, and Bayesian modeling with automated assumption checking and APA-style reporting.
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