Discover Agent Skills for data science & ml. Browse 61skills for Claude, ChatGPT & Codex.
Applies machine learning to chemistry, materials science, and biology for drug discovery and molecular property prediction.
Accesses and analyzes comprehensive pharmaceutical data from the DrugBank database for drug discovery, pharmacology, and interaction research.
Streamlines molecular machine learning workflows for drug discovery, property prediction, and graph neural network implementation.
Simplifies the development, deployment, and management of serverless bioinformatics workflows using the Latch SDK and cloud infrastructure.
Orchestrates a fleet of 48+ specialized AI agents for autonomous cryptocurrency trading, market analysis, and strategy backtesting.
Builds sophisticated financial models including DCF analysis, Monte Carlo simulations, and scenario planning for professional investment decision-making.
Searches and retrieves life sciences preprints from the bioRxiv database with advanced filtering by keywords, authors, and categories.
Accesses the COSMIC cancer mutation database to retrieve somatic mutations, curated gene lists, and mutational signatures for precision oncology research.
Automates searching, metadata extraction, and PDF downloads from the bioRxiv preprint server for life sciences research.
Maintains and updates model registries, pricing, and capabilities for AI providers within the MassGen ecosystem.
Builds advanced financial models including DCF analysis, sensitivity testing, and Monte Carlo simulations for data-driven investment decisions.
Accesses the Catalogue of Somatic Mutations in Cancer (COSMIC) to retrieve somatic mutations, gene fusions, and mutational signatures for oncology research.
Processes and analyzes high-throughput genomic datasets including sequence alignments, variants, and reference files using the htslib wrapper.
Streamlines protein sequence design and wet-lab validation through automated cloud laboratory testing and sequence optimization.
Automates the submission and validation of protein designs to a cloud-based wet-lab for experimental testing and sequence optimization.
Integrates high-performance semantic vector search and HNSW indexing for intelligent document retrieval and RAG systems.
Implements high-performance semantic vector search and intelligent document retrieval using AgentDB's optimized vector engine.
Detects and reports system hardware capabilities to provide optimized strategies for data science and intensive computing tasks.
Performs exact symbolic mathematical computations including algebra, calculus, and equation solving using the SymPy library.
Simplifies the creation of complex, publication-quality statistical graphics and data visualizations in Python.
Builds, optimizes, and executes quantum circuits and algorithms across various hardware backends and simulators.
Queries and interprets genomic variant data from the NCBI ClinVar database to support clinical genetics and research workflows.
Enables comprehensive materials analysis, crystal structure manipulation, and Materials Project database integration for computational materials science.
Conducts systematic, comprehensive literature reviews across major scientific databases with verified citations and professional document generation.
Implement high-performance semantic vector search and intelligent document retrieval using AgentDB optimized HNSW indexing and quantization.
Implements ultra-high-performance semantic vector search and document retrieval for Claude-powered RAG systems and intelligent knowledge bases.
Implements high-performance persistent memory and context management for AI agents using AgentDB.
Accesses the NIH Metabolomics Workbench API to query metabolites, experimental studies, and standardized chemical nomenclature.
Accesses the NIH Metabolomics Workbench to query metabolite data, study metadata, and standardized chemical nomenclature.
Builds, simulates, and executes quantum circuits using Google’s open-source framework for NISQ-era quantum computers.
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