Discover Agent Skills for data science & ml. Browse 61 skills for Claude, ChatGPT & Codex.
Implements high-performance embedding pipelines and vector search strategies for RAG applications.
Simplifies high-performance genomic interval analysis and machine learning preprocessing using Rust-powered toolsets.
Calculates comprehensive portfolio risk metrics including VaR, CVaR, and risk-adjusted return ratios for quantitative trading strategies.
Accesses and retrieves 3D protein and nucleic acid structures from the RCSB PDB for structural biology and drug discovery research.
Builds robust, production-grade backtesting systems for trading strategies with specialized handling for look-ahead bias and transaction costs.
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.
Optimizes Apache Spark jobs using advanced partitioning, memory management, and shuffle tuning patterns.
Automates digital pathology workflows by processing whole slide images, detecting tissue regions, and extracting informative tiles for deep learning pipelines.
Optimizes vector database performance by tuning HNSW parameters, quantization strategies, and scaling configurations for high-efficiency similarity search.
Executes autonomous multi-step biomedical research tasks including genomics analysis, drug discovery, and CRISPR design.
Persists knowledge and learned patterns across autonomous coding sessions using Graphiti-based memory management.
Processes and analyzes complex physiological signals including ECG, EEG, EDA, and respiratory patterns for research and clinical applications.
Integrates Google’s Gemini AI capabilities into Claude Code for multimodal tasks, advanced code analysis, and automated tool execution.
Converts diverse file formats including PDFs, Office documents, and media into LLM-optimized Markdown while preserving structural integrity.
Implement and automate comprehensive evaluation strategies for Large Language Model applications using metrics, human feedback, and LLM-as-judge patterns.
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.
Designs and implements sophisticated LLM applications using LangChain 1.x and LangGraph for advanced agentic workflows and state management.
Builds and orchestrates end-to-end MLOps pipelines from data preparation through production model deployment.
Automates the creation, editing, and analysis of complex Excel spreadsheets with support for dynamic formulas and financial modeling standards.
Automates the creation, editing, and analysis of professional-grade Excel spreadsheets with dynamic formulas and industry-standard formatting.
Automates professional spreadsheet creation, financial modeling, and data analysis with dynamic formulas and industry-standard formatting.
Facilitates the development and migration of Python-based AI agents using LangGraph v1 and LangChain v1 standards.
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