Discover Agent Skills for data science & ml. Browse 61 skills for Claude, ChatGPT & Codex.
Integrates with LabArchives Electronic Lab Notebook (ELN) via REST API to automate research documentation, data uploads, and notebook management.
Accesses the Open Targets Platform to identify therapeutic targets, analyze disease associations, and evaluate drug tractability.
Automates the creation, editing, and analysis of professional-grade Excel spreadsheets with dynamic formulas and industry-standard financial formatting.
Manages and analyzes microscopy image data within the OMERO platform using the Python API for scientific workflows.
Builds, simulates, and executes quantum circuits on simulators and hardware providers using Google's open-source Cirq framework.
Optimizes Ericsson RAN features through Managed Object intelligence and advanced parameter correlation analysis.
Converts chemical structures into numerical representations for machine learning using over 100 specialized featurizers and pretrained models.
Simplifies molecular machine learning workflows for drug discovery, property prediction, and materials science using DeepChem's specialized toolsets.
Develops and optimizes quantum machine learning models and circuits across multiple hardware platforms using automatic differentiation.
Processes and visualizes high-throughput sequencing data to generate publication-quality genomic insights and quality control reports.
Solves overdetermined algebraic, ODE, and PDE systems using the CRACK package in the REDUCE computer algebra system.
Performs comprehensive statistical hypothesis testing, regression analysis, and Bayesian modeling with automated assumption checking and APA-style reporting.
Evaluates scientific research rigor and methodology through systematic analysis of experimental design, statistical validity, and potential biases.
Implements and optimizes reinforcement learning workflows using Stable Baselines3 to train reliable RL agents and design custom Gym environments.
Facilitates advanced materials analysis, crystal structure manipulation, and computational workflows using the Python Materials Genomics library.
Processes and analyzes massive tabular datasets with billions of rows using out-of-core DataFrame operations and lazy evaluation.
Integrates with the NIH Metabolomics Workbench REST API to query metabolite data, standardized nomenclature, and experimental studies for biomarker discovery.
Accesses the ClinicalTrials.gov API v2 to search, filter, and export global clinical research data for medical analysis.
Solves complex logic puzzles and scheduling problems using Peter Norvig's propagate-then-search algorithmic pattern.
Simplifies the development of AI-powered features and autonomous agents using the Vercel AI SDK.
Refines and compresses LLM prompts to minimize token usage and maximize response quality.
Implements flexible graph and tree traversal patterns with configurable DFS, BFS, and randomized exploration strategies.
Facilitates collaborative research ideation by generating hypotheses, identifying research gaps, and exploring interdisciplinary connections for scientific problem-solving.
Visualizes code changes, algorithm results, and data states by displaying multiple outputs in parallel columns.
Provides comprehensive cheminformatics capabilities for molecular analysis, manipulation, and drug discovery workflows.
Encapsulates complex state management into robust class structures to handle transitions, backtracking, and algorithmic branching.
Implements high-performance priority queues for pathfinding, scheduling, and stream processing using efficient heap-based structures.
Optimizes constraint satisfaction problem-solving by eliminating impossibilities through inference before initiating recursive search operations.
Accesses the Ensembl REST API to retrieve genomic sequences, gene annotations, and variant data for over 250 species.
Implements the Gale-Shapley algorithm to solve stable matching problems for two-sided markets like residency and admissions.
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