Discover Agent Skills for data science & ml. Browse 61 skills for Claude, ChatGPT & Codex.
Implements high-performance semantic vector search and document retrieval using AgentDB's ultra-fast HNSW indexing and quantization.
Accesses and manages the COSMIC somatic mutation database for cancer research and precision oncology workflows.
Processes and visualizes high-throughput sequencing data for genomics research and quality control.
Builds, deploys, and manages serverless bioinformatics workflows using the Latch SDK and cloud infrastructure.
Connects Claude to the Benchling life sciences platform to automate R&D data management, registry updates, and laboratory workflows.
Accesses and queries the ClinicalTrials.gov API v2 to retrieve comprehensive data on global clinical studies.
Automates scientific hypothesis generation and testing on tabular datasets by combining empirical data patterns with literature insights.
Guides users through statistical test selection, assumption verification, and APA-formatted research reporting.
Implements the System Skill Pattern to build persistent, data-driven CLI tools that evolve through continuous user interaction.
Quantifies global copper supply concentration and structural risks using automated data scraping and Bloomberg-style visualizations.
Provides a comprehensive suite of specialized algorithms for time series machine learning including classification, forecasting, and anomaly detection.
Integrates Claude with the Benchling R&D platform to automate life sciences data management, laboratory inventory, and electronic notebook entries.
Automates end-to-end scientific research workflows from data analysis and hypothesis generation to publication-ready LaTeX manuscripts.
Generates, edits, and analyzes complex Excel workbooks using dynamic formulas, professional financial formatting, and automated data validation.
Migrates codebases and prompts from Claude Sonnet 4.0, 4.5, or Opus 4.1 to the Opus 4.5 model across multiple platforms.
Manages the graceful termination of LlamaFarm backend services and background RAG workers.
Connects Claude to the ZINC22 database to perform chemical compound searches, virtual screening, and drug discovery workflows.
Conducts systematic, comprehensive literature reviews across multiple scientific databases with verified citations and professional formatting.
Queries the NHGRI-EBI GWAS Catalog to retrieve genetic variant associations, trait data, and genomic summary statistics.
Manipulates, analyzes, and visualizes phylogenetic and hierarchical trees with seamless NCBI taxonomy integration.
Performs exact symbolic mathematical computations including algebra, calculus, and physics modeling directly in Python.
Applies medicinal chemistry rules, structural alerts, and drug-likeness filters to prioritize compound libraries for drug discovery.
Provides expert guidance on implementing AI models, generating embeddings, and building Retrieval Augmented Generation (RAG) systems using Cloudflare’s serverless AI platform.
Enables high-quality text-to-speech and speech-to-text capabilities using fal.ai's suite of specialized audio models.
Accesses the NIH Metabolomics Workbench to query metabolite structures, experimental studies, and mass spectrometry data.
Accesses the NIH Metabolomics Workbench API to retrieve experimental study data, metabolite structures, and standardized biochemical nomenclature.
Formulates testable, evidence-based scientific hypotheses and experimental designs from observations using a structured framework.
Powers high-accuracy OCR, named entity recognition, and search reranking for document processing and RAG optimization.
Classifies and categorizes text using zero-shot learning or custom-trained SetFit models for high-accuracy document labeling.
Automates the end-to-end scientific research pipeline from hypothesis generation to publication-ready LaTeX manuscripts.
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