Discover Agent Skills for data science & ml. Browse 61 skills for Claude, ChatGPT & Codex.
Conducts comprehensive market analysis, industry trend tracking, and market sizing calculations to drive data-informed business decisions.
Performs high-performance genomic interval analysis, overlap detection, and machine learning tokenization using Rust-powered tools.
Enables programmatic PDF manipulation, data extraction, and document creation using professional Python and command-line tools.
Generates testable, evidence-based scientific hypotheses and experimental designs across multiple research domains.
Accesses and analyzes global public statistical data through the Data Commons knowledge graph and Python API.
Generates comprehensive, 50+ page professional market research reports with consulting-grade analysis and high-fidelity visualizations.
Evaluates scientific research rigor by assessing methodology, statistical validity, and bias through established frameworks like GRADE and Cochrane ROB.
Enables rapid bioinformatics queries and sequence analysis across 20+ genomic databases directly from your terminal or Python scripts.
Streamlines genomics pipeline development and data management on the DNAnexus cloud platform using the dxpy Python SDK.
Facilitates programmatic access to over 61 million standardized single-cell genomics data points for advanced querying and analysis.
Analyzes single-cell RNA-seq data with standardized workflows for quality control, clustering, and cell type annotation.
Accesses the BRENDA database via SOAP API to retrieve kinetic parameters, reaction equations, and organism-specific enzyme data for biochemical research.
Architects high-performance system instructions and prompt patterns to optimize Large Language Model outputs and consistency.
Implements high-performance systems and complex algorithms with absolute scientific rigor and formal correctness.
Transforms initial software concepts into comprehensive, well-architected technical designs and implementation roadmaps.
Queries the PubChem database to retrieve chemical structures, molecular properties, and bioactivity data for cheminformatics workflows.
Builds low-latency, production-grade voice applications using real-time APIs, advanced synthesis, and streaming transcription services.
Generates publication-quality scientific diagrams and technical schematics with automated AI quality review and smart iteration.
Indexes and manages external reference documents to power Retrieval-Augmented Generation (RAG) for domain-specific AI workflows.
Generates and updates professional PyTorch-style docstrings using Sphinx and reStructuredText conventions.
Orchestrates complex mathematical computations by deterministically routing natural language requests to specialized CLI tools for symbolic math, logic, and geometry.
Connects Claude to cloud laboratory services for automated protein testing, sequence optimization, and wet-lab validation.
Searches and retrieves life sciences preprints from the bioRxiv database with advanced filtering and PDF download capabilities.
Queries and analyzes openFDA data for drugs, medical devices, food safety, and adverse events using a standardized Python interface.
Enables development and training of Graph Neural Networks (GNNs) using the PyTorch Geometric library.
Queries the NHGRI-EBI GWAS Catalog to retrieve SNP-trait associations, genetic variant data, and genome-wide association study summary statistics.
Transforms vague research interests into concrete, actionable, and tractable research questions with a systematic feasibility analysis.
Builds declarative, type-safe AI services in Java using LangChain4j interfaces, annotations, and memory management.
Accesses the Human Metabolome Database (HMDB) to retrieve metabolite data, chemical properties, and clinical biomarkers for metabolomics research.
Generates rigorous experimental frameworks for scientific research and machine learning projects to ensure statistically significant and defensible results.
Scroll for more results...