Discover Agent Skills for data science & ml. Browse 61 skills for Claude, ChatGPT & Codex.
Interfaces with NCBI ClinVar to query, interpret, and process human genetic variant clinical significance data for genomic medicine.
Accesses and analyzes comprehensive pharmaceutical data from the DrugBank database for drug discovery and pharmacology research.
Accesses and integrates data from over 40 bioinformatics web services and databases using a unified Python API.
Automates life sciences R&D workflows by integrating Benchling's registry, inventory, and electronic lab notebook via API and Python SDK.
Provides specialized tools for biological computation, sequence analysis, and programmatic access to NCBI databases using Biopython.
Streamlines computational molecular biology tasks including sequence analysis, NCBI database integration, and structural protein modeling.
Accesses and searches the bioRxiv preprint server to retrieve life sciences research metadata and download full-text PDFs.
Automates searching, metadata extraction, and PDF downloads from the bioRxiv preprint server for life sciences research.
Access over 40 bioinformatics web services and databases including UniProt, KEGG, and ChEMBL through a unified Python interface.
Automates laboratory data management and life sciences R&D workflows by integrating with the Benchling platform via Python SDK and REST API.
Queries and interprets NCBI ClinVar data to evaluate human genetic variant pathogenicity and clinical significance for genomic medicine.
Migrates legacy PyTorch AT_DISPATCH macros to the modern Dispatch_v2 format in ATen C++ codebases.
Simplifies astronomical data processing and astrophysical calculations using the core Python Astropy library.
Standardizes and automates molecular featurization to convert chemical structures into machine-learning-ready numerical representations.
Automates the migration of legacy PyTorch AT_DISPATCH macros to the modern AT_DISPATCH_V2 API.
Searches the arXiv preprint repository for scholarly articles across various scientific and technical domains.
Streamlines astronomical data analysis and astrophysical calculations using the core Astropy Python library.
Facilitates advanced astronomical research and data processing through Python-based coordinate transforms, FITS manipulation, and cosmological modeling.
Develops, deploys, and manages genomics pipelines and biomedical data on the DNAnexus cloud platform.
Simplifies molecular biology tasks using the Biopython library for sequence analysis, structural bioinformatics, and database integration.
Enables advanced protein engineering, sequence generation, and structure prediction using Evolutionary Scale Modeling.
Generates sophisticated financial models including DCF analysis, Monte Carlo simulations, and sensitivity testing for investment decision-making.
Infers gene regulatory networks from transcriptomics data using scalable machine learning algorithms like GRNBoost2 and GENIE3.
Integrates Benchling’s R&D platform with Claude to automate life sciences workflows, manage biological registries, and streamline lab data operations.
Manages AI model configurations, pricing, and capabilities within backend registries for LLM-powered applications.
Queries the ClinicalTrials.gov API v2 to search for trials, analyze research trends, and extract detailed study data.
Orchestrates a fleet of over 48 specialized AI agents to automate cryptocurrency trading, market analysis, and backtesting across multiple exchanges.
Queries the ClinicalTrials.gov API v2 to search, filter, and extract global clinical study data for medical research and patient matching.
Infers gene regulatory networks from transcriptomics data using scalable gradient boosting and random forest algorithms.
Orchestrates over 48 specialized AI agents for autonomous cryptocurrency trading, market analysis, and backtesting across multiple exchanges.
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