Explora nuestra colección completa de Habilidades de Claude que extienden las capacidades de los agentes de IA.
Generates professional, publication-quality academic research posters using industry-standard LaTeX packages and automated scientific schematics.
Accesses and analyzes comprehensive FDA regulatory data for drugs, medical devices, and food safety through the openFDA API.
Facilitates programmatic access to the ClinicalTrials.gov API v2 to search, filter, and export global clinical study data for research and patient matching.
Provides direct REST API access to UniProt for protein sequence retrieval, identifier mapping, and comprehensive functional annotation searches.
Evaluates the rigor of scientific research by analyzing methodology, statistical validity, and potential biases using standardized frameworks like GRADE and Cochrane.
Conducts systematic, high-rigor peer reviews of scientific manuscripts and grant proposals across all major research disciplines.
Evaluates research papers and scholarly work using the ScholarEval framework to provide structured quality assessments and actionable feedback.
Facilitates collaborative research ideation and hypothesis generation for scientists and academic researchers.
Implements professional machine learning workflows in Python including classification, regression, clustering, and data preprocessing.
Generates visually engaging, research-backed slide decks and presentations for academic conferences, seminars, and thesis defenses.
Generates publication-quality scientific diagrams and architectural schematics using AI-driven iterative refinement and quality auditing.
Creates, edits, and analyzes Excel spreadsheets with production-grade formulas, formatting, and scientific visualizations.
Generates competitive research proposals for federal agencies including NSF, NIH, DOE, and DARPA with agency-specific formatting and narratives.
Accelerates and scales Python data processing by providing parallel and distributed computing capabilities for NumPy, pandas, and custom workflows.
Simulates high-performance computational fluid dynamics using pseudospectral methods and Python-based solvers.
Performs differential gene expression analysis on bulk RNA-seq data using Python's DESeq2 implementation.
Accelerates data analysis workflows using Polars' lightning-fast, expression-based API and lazy evaluation framework.
Simplifies molecular cheminformatics and drug discovery workflows with a Pythonic abstraction layer for RDKit.
Solves complex multi-objective optimization problems using evolutionary algorithms to find Pareto-optimal solutions.
Converts diverse file formats and office documents into LLM-friendly Markdown for optimized processing and analysis.
Manipulates, analyzes, and visualizes phylogenetic trees and hierarchical data using the Environment for Tree Exploration (ETE) framework.
Facilitates comprehensive Next-Generation Sequencing (NGS) data processing, quality control, and publication-quality visualization.
Executes Python code in the cloud with serverless containers, on-demand GPU acceleration, and automatic scaling for AI and scientific workloads.
Facilitates advanced Bayesian statistical modeling and probabilistic programming using the PyMC and ArviZ ecosystems.
Simplifies bioinformatics workflows by providing unified access to over 20 genomic and proteomic databases for sequence analysis and protein modeling.
Performs high-performance genomic interval analysis and sequence tokenization using Rust-powered tools and Python bindings.
Processes and analyzes mass spectrometry data using advanced spectral similarity metrics and automated metadata harmonization.
Filters and prioritizes molecular libraries using medicinal chemistry rules, structural alerts, and drug-likeness metrics.
Simplifies molecular featurization for machine learning by providing a unified interface for over 100 descriptors, fingerprints, and pretrained embeddings.
Generates publication-quality scientific plots and data visualizations using Python's foundational plotting library.
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