Discover Agent Skills for data science & ml. Browse 61 skills for Claude, ChatGPT & Codex.
Enables advanced protein sequence generation, structure prediction, and representation learning using Evolutionary Scale Modeling.
Automates advanced spreadsheet creation, data analysis, and professional financial modeling with rigorous formula validation.
Interfaces with United States Patent and Trademark Office (USPTO) APIs to perform advanced patent searches, trademark tracking, and intellectual property analysis.
Enforces robust Streamlit authoring patterns for session state management, widget key hygiene, and high-performance UI development within the AGILAB framework.
Implements rigorous evaluation frameworks for Large Language Model applications using automated metrics, LLM-as-judge patterns, and human feedback loops.
Analyzes textual data using natural language processing to extract sentiment, keywords, and core topics.
Analyzes and benchmarks machine learning models using a comprehensive suite of performance metrics and validation tools.
Queries the Ensembl REST API to retrieve gene data, sequences, and variant analysis for over 250 species.
Queries the ChEMBL database to retrieve bioactive molecule data, drug targets, and bioactivity measurements for medicinal chemistry research.
Processes and analyzes complex physiological signals including ECG, EEG, EDA, and more using the NeuroKit2 Python library.
Analyzes whole-slide images and multiparametric data using specialized computational pathology workflows and machine learning models.
Builds sophisticated Retrieval-Augmented Generation (RAG) systems to ground LLM responses with external knowledge and proprietary data.
Automates professional spreadsheet creation, data analysis, and financial modeling with rigorous formula validation.
Assesses machine learning model performance using comprehensive metrics to facilitate validation, testing, and optimization workflows.
Generates professional plots, charts, and graphs from raw data with intelligent, automatic visualization type selection.
Builds sophisticated recommendation systems using collaborative filtering, content-based algorithms, and hybrid machine learning models.
Processes and analyzes massive tabular datasets exceeding RAM limits using high-performance out-of-core DataFrames.
Enables programmatic access and analysis of the CZ CELLxGENE Census, a collection of over 61 million standardized single-cell genomics records.
Performs rigorous statistical modeling and econometric analysis using Python's statsmodels library for deep data insights.
Integrates Codex CLI command patterns into Claude Code to enable advanced multi-agent planning and high-reasoning execution.
Analyzes, visualizes, and manipulates complex network structures and graph data using the NetworkX Python library.
Builds professional-grade Leveraged Buyout (LBO) models in Excel for private equity analysis and transaction screening.
Provides deep interpretability and explainability for machine learning models using advanced techniques like SHAP and LIME.
Automates laboratory workflows and controls liquid handling robots and analytical equipment through a hardware-agnostic Python interface.
Automates budget vs. actual financial variance analysis with professional reporting, materiality flagging, and executive summaries.
Queries and analyzes over 240 million scholarly works, authors, and institutions via the OpenAlex API for comprehensive bibliometric research.
Tracks and manages AI/ML model versions, performance metrics, and lineage for streamlined model registry management.
Evaluates research rigor and methodology through systematic assessment of statistical validity, biases, and evidence quality.
Optimizes machine learning model performance by automating feature creation, selection, and complex data transformations.
Queries and interprets NCBI ClinVar data to provide standardized genetic variant classifications and clinical significance evidence.
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